Bloomberg School of Public Health

Offers an introduction to fundamental issues and approaches in bioethics, provides an overview of the history of the field, and highlights the events that led to the birth and growth of bioethics. Introduces theoretical approaches to bioethics, public health policy, research ethics, ethics of genetics and science, and clinical ethics. Provides students with opportunities to gain from the experience of some of the most respected scholars in the field of bioethics.

Offers an introduction to central approaches and issues in bioethics. Includes a discussion of the history of the field and the issues that led to its birth and growth internationally. Introduces philosophical, empirical and non-empirical approaches to bioethics and core ethical issues in clinical care, public health, science and research. Provides a foundation for future study in bioethics.

Offers a continuation of the exploration of ethical theory and its use in bioethics begun in "Introduction to Ethical Theory". Utilizes the conceptual and methodological tools from "Ethical Theory" in analyzing topics and cases currently being discussed in bioethics. Although topics will change from year to year, common themes include: discussion of legal changes concerning end of life; the ethics of new reproductive technologies; ethical challenges concerning genome-editing technologies; and global ethical challenges such as climate change and resource allocation.

Explores the relationship between philosophical ethical theory and the practical world of bioethics. In particular, examines the classical accounts of moral obligation and virtue in the context of a variety of contemporary bioethical problems. Further presents the distinction between individual bioethics and collective bioethics, with the goal of determining how the theoretical grounding for these fields differ. The motivating questions are both methodological and substantive: First, how does theory contribute to bioethical investigations? And second, does reflection on ethical theory tell us what to do concerning particular, bioethical problems?

This course introduces some of the main methods used in bioethics research, scholarship and practice, including philosophical, legal, historical, religious, qualitative, and quantitative research methods. The strengths and weaknesses of each method in addressing bioethical questions or problems will be described. Each method will be illustrated with contemporary topical examples. In addition, one cross-cutting example of an issue addressed by all methods will be discussed.

Introduces critical thinking skills that are widely used in bioethics research and practice. Introduces argument mapping techniques and gives students practice extracting arguments from texts and mapping those arguments. Introduces students to common strengths and weaknesses of arguments and gives students practice in evaluating arguments.

This course builds on Critical Thinking in Bioethics Scholarship 1. It builds on student training in argument mapping, identifying common strengths and weaknesses of arguments and evaluating arguments, formulating good arguments and expressing them in text, and writing critical essays.

Offers students a) a theoretical and practical foundation for identifying and analyzing ethical issues arising in clinical medicine and b) a survey of important current issues and problems in clinical ethics with c) a focus on case analysis and application of principles to problems. Includes interactive content and case-based materials.

Explores the theoretical justifications of human rights and their relationship to the contemporary human rights movement based in positive law and how human rights are operationalized. Reviews theories of human rights, evolution of human rights as law, and common ground and tensions between bioethics and legal approaches to human rights. Illustrates how bioethics and human rights concepts apply to key public health issues of our time, particularly as they relate to problems of inequality and inequity. Discuss issues including access to essential medicines, women’s health, disease surveillance and response to pandemics, and health claims of immigrants, refugees and prisoners.

This course introduces students to the U.S. legal system and analyzes the relationship between law and bioethics. During the course, students will: (1) develop an understanding of the relevance of law for bioethics as a scholarly field and as a profession; (2) become familiar with legal structures, mechanisms, institutions, functions, and sources of law; (3) develop a critical appreciation of the complexity, flexibility, and evolution of law; and (4) develop a set of core legal skills applicable to bioethics scholarship and practice. Specific topic areas include legal duties of health care providers, end-of-life decisionmaking, ownership in body parts and informed consent, health inequities, assisted reproduction, and public health. No background in law is required to take this course.

Introduces students to the primary ethical challenges in the global food system and explores ethical issues in the United States food system. Provides students with the opportunity to think critically about a variety of conflicting views about the ethics of animal agriculture, healthy eating efforts and decision-making about food. Uses theories and tools from practical ethics, political philosophy, and theories of justice to shed light on these issues.

Examines the ethics and policy issues raised by emerging biomedical technologies, including stem cell science, genetics/genomics, neuroscience, and synthetic biology. Integrates primers on the relevant science with discussion of the ethics and policy issues raised by the design, conduct and integration of the science into research, clinical care and commerce.

Explores past, present, and future ethical, legal, social and policy issues at the intersection of infectious disease and genomics. Due to the social nature of contagion, infectious disease challenges individualistic assumptions in bioethical models with public health dilemmas requiring attention to the relationships and interactions between hosts, vectors, pathogens, and environments. Focuses on the potential ethical, legal, and social implications of emerging genomic science and technology for infectious disease control. Each class focuses on a specific type of infectious disease highlighting different notions of disease causation and mode of transmission. Explores in three related contexts: research, clinical practice and public health. Addresses the enduring bioethical concerns about social responsibility, stigma, and the challenge of balancing individual interests and protections against risks of harms to others and to public health.

Introduces students to the concept of vulnerability from an interdisciplinary lens of ethics, philosophy, medicine, and public health. Discusses how special protections for vulnerable populations can impact research and clinical care at the individual and population level. Presents examples of vulnerable populations of children (eg. children with medical complexity, children in foster care, transgender youth) in order to illustrate relevant ethical challenges faced by vulnerable populations. Introduces students to written media (eg. op-ed, letter to the editor) as a tool to advocate for vulnerable children.

Employs an inter-disciplinary approach to understand the nature of addiction, drawing on philosophy, psychological science, and the perspectives of people who struggle with addiction. Provides an overview of competing models of addiction and evaluates their theoretical foundations and supporting evidence. Explores the heterogeneity of individual-level decision-making in addiction. Distinguishes different ideas of responsibility and how they intersect with addiction research and individual and societal responses to addiction, including drug criminalization. Provides students with the opportunity for in-depth reflection on conceptual and ethical issues surrounding addiction, developing analytic and argumentative skills.

Explores how to make the world a better and more just place from the standpoint of human rights & justice theory. Topics include the distinctive role of justice and structural justice in moral thought, theoretical foundations for human rights, the relationship between human rights & justice, & the related concepts of fairness, power and disadvantage. Explores these topics in the particular context of the pandemic.

Provides a small, interactive setting for discussion of research ethics, ethics committees, and ethics concepts among the trainees and between trainees and affiliated faculty. Divides sessions among the following activities: reviewing and critiquing journal articles related to research ethics; trainees’ individual presentations on practicum research progress; guest speakers related to research ethics cases and/or concepts; and development and presentation of original case studies by each trainee. Includes topics standard of care, justice, inducements, research ethics committees, informed consent, and gender roles in research decisions.

Focuses on the moral and ethical dimensions of health and medicine, but because many bioethical debates revolve around what it means to be human, understanding race is relevant to bioethics. Examines the varied meanings and uses of race, as well as how bioethics has and has not engaged with these meanings and uses. Explores how contemporary bioethics can engage with bioethics more substantively with race and its implications, specifically racism and health inequities.

Explores the emergent field of neuroethics, which examines ethical issues governing the conceptual and practical developments of neuroscience. Examines claims that modern neuroscience entails the re-examination of complex and sensitive topics like free will, consciousness, identity, and responsibility raises significant ethical issues. Asks questions that extend beyond the usual umbrella of biomedical ethics. Discusses the ways in which investors have aligned with neuroscientists and philosophers to explore new opportunities for innovation. Considers the new knowledge and ways of learning about the brain from scientific, ethical, legal and social standpoints.

Introduces students to subfields of bioethics and related scholarship that concern key aspects of embodiment, such as gender, gender identity, and sexuality. Explores central ideas, theories, and critiques of bioethics from these subfields of bioethics. Provides students with the opportunity to apply these ideas and theories to specific ethical issues and to consider how these critical perspectives enrich bioethics.

Explores themes of climate change and health from multiple bioethics standpoints including public health ethics, healthcare ethics, and research ethics. Because the relevant bioethics literature is dynamic and continually evolving, course topics may vary and range widely over time. Likely central topics include justice in the greening of health systems, tensions between sustainability and other values in healthcare ethics, and community involvement in the conduct of research on climate change and health.

Introduces students to different forms of storytelling. Explores the use of narrative structure, editing, sound and testimony in telling stories about ethics. Provides students with tools to critically consider how different techniques impact on the way these stories are received by audiences

Examines global food systems and the policies that impact global food security, and broader aspects of sustainable development including public health, the environment and economies. Presents and critiques different food system policies that determine the availability, affordability, and nutritional quality of the food supply and influence the amount and combination of foods that people are willing and able to consume. Encourages use of critical thinking skills and debate to understand how policy and science interact with regard to food systems. Presents data, case studies and real-time challenges related to global food systems with an emphasis on the development of practical skills to analyze systems approaches.

Provides an introduction to the ethics of human subject research and allows participants to apply what they learn to case examples from the U.S. and international settings. Presents ethical principles and a framework for analysis. Reviews key U.S. and international regulations that guide the ethical conduct of research. Through lectures and moderated discussions, addresses a variety of issues including: informed consent for research participation; ethical aspects of study design; just selection of research subjects and duties of justice when working in resource poor settings; and the role and function of institutional review boards/ethics review committees. Uses case discussions to explore research in both domestic and international settings.

Explores the ethics of responding to large, structural, public health disasters, or ‘catastrophe ethics’. Investigates catastrophes with the following property: they are so large that no individual action or person can solve them; rather, they require coordination of large collectives. Focuses on climate change, the Covid-19 pandemic, and structural racism over the course of the week, asking two, overarching questions about each: what are we obligated to do in the face of such crises; and regardless of what we as a society do, what are we obligated to do in our private lives? Investigates the relationship between the structural and the individual answers.

Introduces and explores the equity and ethical issues of the nutritional sciences field in both policy and practice. Provides students with the opportunity to think critically about a variety of conflicting views of who is marginalized and hence, nutritionally vulnerable, what is considered a healthy diet, where are the inequities in accessing a nutritious diet, and what are the implications of policies in achieving nutrition security. Borrows tools from practical ethics, political philosophy, and theories of justice to shed light on these issues that determine our common future and the way we personally and socially relate to the food we eat.

Provides students with the basic research and organizational skills needed for successful completion of the MBE thesis. Addresses skills needed to conduct a literature review, choose an appropriate topic, and construct a rigorous argument.

Provides an opportunity for students to actively conduct research in bioethics.

Provides students with a one-on-one independent study experience in which they independently review papers from the current literature and meet weekly with a departmental faculty member to discuss them. Offers opportunities for complementary activities which may include participating in related course discussions, seminars, conferences, etc. Culminates with the completion of a written document, typically a substantial paper.

The MBE Practicum is a mentored, bioethics experience, which involves either field work with a practicing bioethicist, or applying one's bioethical training to a real-world environment.

Introduces common ethical challenges in patient care that arise in different clinical settings, and the systems in place to address them. Explores the perspectives of patients, families, trainees and practicing clinicians on complex ethical dilemmas in clinical care. Presents different methods of analyzing ethical dilemmas in the care of patients, and different styles of communicating about them with patients.

Builds on the foundation offered in Clinical Practicum. Pairs students with faculty and affiliated mentors who have clinical ethics supervisory responsibility in their respective institutions. Exposes students to real-time ethical dilemmas and how they are addressed and resolved with an emphasis on the development of practical skills.

Covers the physical and chemical properties of the amino acids, the various elements of protein structure, and the cooperative behavior of multimeric proteins. Explore the kinetics of enzyme-catalyzed reactions, and the active site mechanisms of representative classes of enzymes. Describes the molecular basis of action for selected enzyme inhibitor-based drugs.

Examines the major metabolic pathways that are central to eukaryotic cell growth and maintenance.

Discusses synthesis of macromolecules, the genetic code, regulation of gene expression and gene function, and recent advances in biotechnology.

Explores how molecular biology is used to understand how specific respiratory viruses create pandemics. Begins with an analysis of the virus that caused the great public health catastrophe, the 1918 Spanish Influenza Pandemic and then examines more recent pandemic viruses, including SARS-Cov-2. Focuses on the use of molecular techniques in defining why specific mutations increase the virulence and pandemic potential of a virus, the pathological response of a host’s immune system to a virulent virus and pathological interactions between two different respiratory pathogens. Emphasizes how molecular, pathophysiological and immunological studies may be used to predict a virus’ pandemic potential. Reviews how governmental responses affect the spread of a disease with pandemic potential, including the response to SARS-CoV-2.

Molecular biology deals with how nucleic acids and proteins interact within the cell to promote proper growth, division, and development. This course will provide an overview of these processes, including DNA replication, repair, transcription, splicing, protein synthesis, and gene regulation in different organisms. We will also explore many biological tools that have been developed from molecular biology processes, such as DNA sequencing and gene editing (CRISPR-Cas9).

Provides students with a broad base in fundamental principles of genome integrity. Examines connections between genome integrity, organism fitness, and human diseases and disorders. Addresses 1) Homologous recombination, (2) Non-homologous end joining, (3) Mismatch repair, (4) Transposable elements, (5) Topoisomerases, (6) Structural maintenance of chromosomes and (7) Chromosome segregation.

Discuss molecular mechanisms through which eukaryotes maintain cellular homeostasis in response to stress. Stress response pathways are examined at the DNA, RNA, and protein levels; topics include stress and transcription, RNA processing, and protein quality control. Organelle-specific stress response, such as ER stress and mitochondrion stress responses, are also discussed. Additionally, molecular mechanisms of cellular responses to environmental stimuli, such as heat, hypoxic, oxidative, and starvation stressors, are examined.

Helps students prepare to apply to medical school. Covers specific topics to address the complex premedical journey, including planning the months/years leading up to the application, reviewing the application process, addressing the medical schools’ expectations, medical school selection, writing the personal statement, requesting letters of evaluation, interviewing and more.

Introduces genes and genetics, and their role in the genetic basis of human health and disease. Explores the current status of gene editing and gene therapy technologies both in the context of therapeutics and as tools in the life sciences. A large focus of the class centers on the impact of CRISPR on these technologies. Discuss the ethical implications of these technologies.

Offers a unique opportunity to immerse yourself in an environment with multiple opportunities to promote health, science, and education in Baltimore. Covers a wide range of topics through seminars in close collaboration with Baltimore community organizations. Supports students in honing their core competencies that medical schools are looking for, including the following categories: (1) interpersonal, (2) intrapersonal, (3) thinking and reasoning, and (4) science. Supports premedical students but is designed for any student interested in promoting health, science, and education. Includes a seminar and an optional practicum component.

Covers the physical and chemical properties of the amino acids, the various elements of protein structure, and the cooperative behavior of multimeric proteins. Explore the kinetics of enzyme-catalyzed reactions, and the active site mechanisms of representative classes of enzymes. Describes the molecular basis of action for selected enzyme inhibitor-based drugs.

Offers a unique opportunity to immerse yourself in an environment with multiple opportunities to promote health, science, and education in Baltimore. Covers a wide range of topics through seminars in close collaboration with Baltimore community organizations. Supports students in honing their core competencies that medical schools are looking for, including the following categories: (1) interpersonal, (2) intrapersonal, (3) thinking and reasoning, and (4) science. Supports premedical students but is designed for any student interested in promoting health, science, and education. Includes a seminar and an optional practicum component.

Discusses nucleic acid structure, and also describes techniques for manipulating and analyzing nucleic acids, including gel electrophoresis, PCR, and DNA sequencing. Reviews methods used to synthesize nucleosides, nucleotides and oligonucleotides, and chemical reactions that lead to modifications of nucleic acids. Covers topics including DNA-drug interactions, antisense and antigene oligonucleotides, ribozymes and deoxyribozymes, DNA cages, DNA origami, DNA nanostructures, and DNA nanodevices.

Explores both the justice issues that underlie the application of cell and gene engineering to populations that would benefit, and the science behind how these cures are developed and subsequently delivered to a health care system. Includes an overview of the current technologies that have led to curative interventions for sickle cell disease and engineered immune cells for malignancy, the regulatory and financial issues that the drive cost of these advanced therapies, and the social justice issues of equitable access. Encourages students to synthesize these broad concepts and to propose new solutions that impact public health.

Provides a platform for students, postdoctoral fellows and faculty to present and discuss scientific papers from the current literature that deal with mechanisms underlying disease along with accompanying methods. Explores additional aspects that are relevant to conducting and conveying laboratory research, including study design and statistical analysis, manuscript and grant review, policy and practice, and risk assessment.

Explores some of the key molecular and cellular aspects of the biology of cancer. Includes topics: cancer genetics, DNA damage, and cell signaling pathways including RAS and Epidermal Growth Factor Receptors. Covers a select set of current research areas that aim to further the understanding and treatment of cancer. Emphasizes how these molecular mechanisms are regulated, contribute to oncogenesis, and can be targeted therapeutically.

This Cancer Biology course will educate students on the principles of cancer biology, including the various genetic and molecular changes normal cells undergo during transformation into malignant cancer cells. To this end, this course will help students to gain an understanding of cellular and molecular mechanisms that go awry, thereby providing optimal conditions for cancer. We will explore the role of mutations in cancer cells, and how they lead to the dysregulation of essential biological properties like programmed cell death, cell proliferation and differentiation. We will also focus on the interface of cancer and medicine. Classical treatment methods will be compared with newer treatment strategies like targeted therapies. We will also explore the challenges associated with diagnosing cancers, as well as ways in which to prevent cancer.

Provides students with a basic understanding of the structure and functions of eukaryotic cells. Introduces students to new facts and vocabulary pertinent to cell biology, as well as experimental methods used by scientists to define and understand cell structure and functions. Highlights relationships between defects in basic cell functions and human diseases. Classroom time is divided into 8 formal lecture sessions, 3 less formal review/discussion/problem solving sessions, and 3 closed-book, in-class exams.

Exposes students to cutting-edge topics in stem cell biology through a combination of lectures and discussions based on primary literature. Topics include basic stem cell biology in a invertebrate and vertebrate systems, including germline, neural, and epithelial stem cells; the regulation of stem cells by physiology and aging; the connection between stem cells, telomerase, and cancer; and ethical issues pertaining to potential therapeutic applications of stem cells.

Provides students and postdoc trainees with an overview of the entire fellowship application process, including how to write an effective research proposal and specific aims, how to prepare a NIH style biosketch and how to formulate an effective personal biography. Discusses the peer review process, how fellowship applications are judged and scored. The students and postdocs will gather to form an in-class study section where trainees have the opportunity to review grants in the style of NIH study sections.

All departmental ScM students spend one to three terms, respectively, participating in the research activities of departmental faculty's laboratories. Students select appropriate rotations in consultation with their academic advisor and the ScM Program Director. The objective is to provide the opportunity for interaction with several faculty members, so that a thesis laboratory may be identified. The course aims to broaden a student's knowledge of laboratory techniques and skills, expose the student to a variety of research areas and to develop the ability to carry out a research project.

Research BMB PhD and 2nd year ScM students

Integrates academic training with current research in biochemistry and molecular biology and the implications of this research in addressing major public health concerns. Offers weekly presentations held by researchers from JHU and other biomedical research institutions on the results of state-of-the-art investigations conducted in their laboratories, emphasizing experimental design and methodology.

Builds upon existing basic research skills in biomedical sciences and emphasizes more independent hands-on research working under the guidance of a faculty member in the Department of Biochemistry and Molecular Biology or affiliated principle investigator. Provides further experience for future research pursuits at JHU and beyond.

Teaching Assistant (TA) for PhD students in Biochemistry and Molecular Biology

Provides a complement to the BCMB core curriculum. Student reads research papers relating to a core lecture topic. Discussions are led by a student while a faculty member from Biochemistry or MMI act as facilitator. Helps students to develop skills in reading the primary literature and provides an introduction to the experimental paradigms underlying the concepts presented in the core course.

Students engage in one-on-one independent study with a departmental faculty member who will be the student's thesis supervisor. Prepares students for completing the MHS using independent reading of papers from current literature, combined with meetings with the thesis supervisor to discuss the reading and how to recognize this research to develop the MHS thesis.

Enables students to carry out all key steps to successfully solve and refine a protein crystal structure. Theoretical aspects are followed by application to various problem sets. Topics include tricks for data collection, data processing and collection. Touches upon all standard techniques such as molecular replacement, SAD phasing and MAD phasing, both in theory and then applied in practical context with previously collected data. Identification of unknown ligand densities and model refinement lead to the last part of preparing publication quality figures using PyMol.

In consultation with a faculty mentor from the Department of Biochemistry and Molecular Biology, students prepare a critical, scholarly paper on an assigned subject.

Introduces students to the faculty and to current research being conducted in their respective laboratories within the Department of Biochemistry and Molecular Biology and by other training faculty of the Cancer Biology Training Program. Informs doctoral students about research opportunities in each laboratory and allows them to make informed decisions about their choices for laboratory rotations during their first year. Similarly, informs current MHS students who are considering the ScM Program during the second year about potential research opportunities in laboratories of BMB faculty. Provides time for faculty presentation, student questions and further discussion.

Provides “hands-on” training for analyzing data in the R statistical software package, a popular open-source solution for data analysis and visualization. Covers data input/output, data management and manipulation, and constructing useful and informative graphics. Geared towards individuals who have never used R or have a little familiarity.

Gives an overview of "multilevel statistical models" and their application in public health and biomedical research. Multilevel models are regression models in which the predictor and outcome variables can occur at multiple levels of aggregation: for example, at the personal, family, neighborhood, community and regional levels. They are used to ask questions about the influence of factors at different levels and about their interactions. Multilevel models also account for clustering of outcomes and measurement error in the predictor variables. Students focus on the main ideas and on examples of multi-level models from public health research. Students learn to formulate their substantive questions in terms of a multilevel model, to fit multilevel models using Stata during laboratory sessions and to interpret the results.

Covers statistical models for drawing scientific inferences from longitudinal data. Topics include longitudinal study design; exploring longitudinal data; linear and generalized linear regression models for correlated data, including marginal, random effects, and transition models; and handling missing data.

Explains what covariate adjustment is, how it works, when it may be useful to apply, and how to implement it (in a preplanned way that is robust to model misspecification) for a variety of scenarios. Demonstrates the impact of covariate adjustment using trial data sets in multiple disease areas. Provides step-by-step, clear documentation of how to apply the software in each setting. Applies the software tools on the different datasets in small groups.

Provides a broad overview of biostatistical methods and concepts used in the public health sciences, emphasizing interpretation and concepts rather than calculations or mathematical details. Develops ability to read the scientific literature to critically evaluate study designs and methods of data analysis. Introduces basic concepts of statistical inference, including hypothesis testing, p-values, and confidence intervals. Includes topics: comparisons of means and proportions; the normal distribution; regression and correlation; confounding; concepts of study design, including randomization, sample size, and power considerations; logistic regression; and an overview of some methods in survival analysis. Draws examples of the use and abuse of statistical methods from the current biomedical literature.

Emphasizes concepts and illustration of concepts applying a variety of analytic techniques to public health datasets in a computer laboratory using Stata statistical software. Learns basic methods of data organization/management and simple methods for data exploration, data editing, and graphical and tabular displays. Includes additional topics: comparison of means and proportions, simple linear regression and correlation.

Emphasizes concepts and illustration of concepts applying a variety of analytic techniques to public health datasets in a computer laboratory using Stata statistical software. Masters advanced methods of data analysis including analysis of variance, analysis of covariance, nonparametric methods for comparing groups, multiple linear regression, logistic regression, log-linear regression, and survival analysis.

Explores the transformative potential of Artificial Intelligence (AI) in public health. Aims at public health professionals, researchers, and policymakers, the course delves into AI’s role in disease surveillance, epidemic prediction, healthcare delivery, and health policy. Gains foundational knowledge in AI concepts, machine learning algorithms, and data analytics. Teaches how AI can address public health challenges, enhance disease prevention strategies, and improve health outcomes through case studies, interactive sessions, and hands-on projects. Emphasizes ethical considerations, data privacy, and the equitable application of AI technologies in diverse health settings.

Covers methods for the organization, management, exploration, and statistical inference from data derived from multivariable regression models, including linear, logistic, Poisson and Cox regression models. Students apply these concepts to two or three public health data sets in a computer laboratory setting using STATA statistical software. Topics covered include generalized linear models, product-limit (Kaplan-Meier) estimation, Cox proportional hazards model.

Presents use of confidence intervals and and hypothesis tests to draw scientific statistical inferences from public health data. Introduces generalized linear models, including linear regression and logististic regression models. Develops unadjusted analyses and analyses adjusted for possible confounders. Outlines methods for model building, fitting and checking assumptions. Focuses on the accurate statement of the scientific question, appropriate choice of generalized linear model, and correct interpretation of the estimated regression coefficients and confidence intervals to address the question.

Corequisite(s): Must also register for lab, PH.140.922.

Corequisite(s): Must also enroll for PH.140.923

Builds on the concepts, methods, and computing (Stata, R) covered in Statistical Methods 1,2, and 3. Focuses on investigating scientific questions via data analysis and clearly communicating the methodology and results. Uses examples from the contemporary and public health literature and allows students the opportunity to work with their own data over the duration of the class.

Corequisite(s): Must also enrol for a lab, PH.140.924.

Discusses the importance of the careful design of non-experimental studies, and the role of propensity scores and related methods in that design, with the main goal of providing practical guidance on use of sample equating methods. Covers the primary ways of using propensity scores and related methods to adjust for confounders when estimating the effect of a particular “cause” or “intervention,” including weighting, subclassification, and matching. Examines issues such as how to specify and estimate a propensity score model, selecting covariates to include in the model, and diagnostics. Draws examples from across public health. Emphasizes non-experimental studies; however, also discusses applications to randomized trials such as examining levels of adherence and generalizability.

Presents the basics of data science using the R programming language. Teaches basic unix, version control, graphing and plotting techniques, creating interactive graphics, web app development, reproducible research tools and practices, resampling based statistics and artificial intelligence via deep learning, focusing on practical implementation specifically tied to computational tools and core fundamentals necessary for practical implementation. Culminates with a web app development project chosen by student (who will come out of this course sequence well-equipped to tackle many of the data science problems that they will see in their research).

Presents the basics of data science using the R programming language. Teaches basic unix, version control, graphing and plotting techniques, creating interactive graphics, web app development, reproducible research tools and practices, resampling based statistics and artificial intelligence via deep learning, focusing on practical implementation specifically tied to computational tools and core fundamentals necessary for practical implementation. Culminates with a web app development project chosen by student (who will come out of this course sequence well-equipped to tackle many of the data science problems that they will see in their research).

Introduces students to the principles and skills required to collect and manage research data in a public health setting. Focuses on tools for collecting data that range from spreadsheets to web-based systems, database fundamentals, data collection form design, data entry screen design, proper coding of data, strategies for quality control and data cleaning, protection and sharing of data, and integrating data from external sources. Includes practical and hands-on exercises that require some entry-level computer programming.

Introduces students to the SAS statistical package using the SAS Studio interface. Using examples of public health data students learn to write programs to summarize data and to perform statistical analyses. Using the interactive matrix language introduces computation within a matrix environment and the development of modular programming techniques.

Introduces students with no experience with SAS. Familiarizes them with the skills needed for effective data management anddata analysis. Covers performing exploratory analysis on data including the creation of tables and graphs. Proceeds next to creating new datasets and altering old datasets. Covers building regression models (linear, logistic, and Poisson), interpreting results and criticizing such models, and attempting to improve them.

Presents the important differences between superiority trials and those intended to show either equivalent effect, or to show that one therapy is no worse than another (but might be better). Explores the problems of setting equivalence margins, preservation of some proportion of active control effect, and emphasizes the use of confidence intervals to interpret the results of studies. Discusses special issues of quality of the trial conduct, assay sensitivity, historical evidence of treatment effects and assumptions of constancy of treatment effects over time. Compares sample size requirements between superiority trials, equivalence trials and non-inferiority trials. Discusses the use of different analysis populations (ITT and per-protocol) and issues of changing conclusions between non-inferiority and superiority. Discusses the regulatory aspects of trial design and interpretation, and reviews existing regulatory guidance.

Provides an introduction to computational analysis of genomics datasets with applications in cancer research. Includes hands-on training in organizing, analyzing, and visualizing data using R, RStudio, and Bioconductor. Covers data manipulation, single-cell genomics, and differential gene expression analysis. Features live coding demonstrations, guided exercises, and capstone projects. Emphasizes real-world examples relevant to cancer biology and practical skills for integrating computational genomics into research workflows.

Introduces the computational hardware and programming model upon which analysis tools and languages are based. Introduces and uses three main languages (Python, Perl, SQL) and their underlying rationale to develop computer science concepts such as data structures, algorithms, computational complexity, regular expressions, and knowledge representation. Draws examples and exercises from high-throughput sequence analysis, proteomics and modeling of biological systems. Reinforces key concepts through lectures with live computer demonstrations, weekly readings, and programming exercises. Has students working with a High Performance Compute Cluster and the Amazon cloud.

Introduces fundamental concepts, theory and methods in survival analysis. Emphasizes statistical tools and model interpretations which are useful in medical follow-up studies and in general time-to-event studies. Includes hazard function, survival function, different types of censoring, Kaplan-Meier estimate, log-rank test and its generalization. For parametric inference, includes likelihood estimation and the exponential, Weibull, log-logistic and other relevant distributions. Discusses in detail statistical methods and theory for the proportional hazard models (Cox model), with extensions to time-dependent covariates. Includes clinical and epidemiological examples (through class presentations). Introduces basic concepts and methods for competing risks data, including the cause-specific hazard models and other models based of cumulative incidence function (CIF). Illustrates various statistical procedures (through homework assignments).

Emphasizes the understanding of, and practical experience in, the spectrum of non-technical aspects of statistical consulting, the art and science of applying statistics to real-world problems. Discusses the elements of a consultation, from defining the research problem to providing final products to the client, interpersonal communication, reproducible work, ethics and consulting in different environments. Develops students’ consulting skills via lectures, role-play opportunities, consulting sessions, and actual research projects. Acquaints students with practical consulting experience through shadowing and leading the Biostatistics Center’s clinics on Friday mornings. Provides opportunities to work directly with Johns Hopkins researchers to elicit information about the research question, and to provide a presentation and final report to researchers.

Introduces popular Machine Learning methods and emphasizes their practical usage for data analysis. Acquaints students with methods to evaluate statistical machine learning models defined in terms of algorithms or function approximations using basic coverage of their statistical and computational theoretical underpinnings. Topics covered include: regression and prediction, tree-based methods, overview of supervised learning theory, support vector machines, kernel methods, ensemble methods, clustering, visualization of large datasets and graphical models. Examples of method applications covered include cancer prognosis from microarray data, visualization and analysis of social network data, and graphical models for clinical decision-making.

Introduces students to the theory of statistical inference. Includes the frequentist, Bayesian and likelihood approaches to statistical inference including estimation, testing hypotheses and interval estimation. Emphasizes rigorous analysis (including proofs), as well as interpretation of results and simulation for illustration.

Builds on the concepts discussed in 140.646, 140.647 and 140.648 to lay out foundation for both classical and modern theory/methods for drawing statistical inference. Includes classical unbiased estimation, unbiased estimating equations, likelihood and conditional likelihood inference, information theory and other extended topics. Includes mathematical proofs but will not emphasize highly technical details. Provides extended discussions, interpretation of results, and examples for illustration.

Introduces advanced AI methods for analyzing large-scale geospatial data, with particular emphasis on geostatistics. Starts with an overview of geospatial data and exploratory data analysis and visualization techniques. Delves next into Gaussian Processes (GP) and kriging for spatial data modeling, covering both classical optimization and Bayesian MCMC methods for GP models. Covers spatial graphical models and Nearest Neighbor Gaussian Processes (NNGP) for handling massive datasets. Introduces machine learning techniques, including random forests and neural networks (multi-layer perceptrons, convolutional and graph neural networks), and explores hybrid methods that combine traditional statistical modeling with machine learning. Covers various state-of-the-art computational techniques, like stochastic approximations and variational Bayesian optimization, and offers a hands-on demonstration of analysis of big spatial data using R and Python.

Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Includes topics discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence interval for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations. Introduces R and concepts are presented both from a theoretical, practical and computational perspective.

Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Includes discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations.

Explores statistical models for drawing scientific inferences from multilevel and longitudinal public health data. Includes topics: multilevel causes in public health, longitudinal as a leading example of multilevel data, study design, exploring multilevel and longitudinal data; linear and generalized linear regression models for correlated data including marginal, random effects, and transition models; and handling missing data.

Explores conceptual and formal approaches to the design, analysis, and interpretation of studies with a “multilevel” or “hierarchical” (clustered) data structure (e.g., individuals in families in communities). Develops skills to implement and interpret random effects, variance component models that reflect the multi-level structure for both predictor and outcome variables. Includes topics: building hierarchies; interpretation of population-average and level-specific summaries; estimation and inference based on variance components; shrinkage estimation; discussion of special topics including centering, use of contextual variables, ecological bias, sample size and missing data within multilevel models. Supports STATA and R software.

Presents an overview of methods for estimating causal effects: how to answer the question of “What is the effect of A on B?” Includes discussion of randomized designs, but with more emphasis on alternative designs for when randomization is infeasible: matching methods, propensity scores, regression discontinuity, and instrumental variables. Methods are motivated by examples from the health sciences, particularly mental health and community or school-level interventions.

Presents principles, methods, and applications in drawing cause-effect inferences with a focus on the health sciences. Building on the basis of 140.664, emphasizes statistical theory and design and addresses complications and extensions, aiming at cultivating students’ research skills in this area. Includes: detailed role of design for causal inference; role of models and likelihood perspective for ignorable treatment assignment; estimation of noncollapsible causal effects; statistical theory of propensity scores; use of propensity scores for estimating effect modification and for comparing multiple treatments while addressing regression to the mean; theory and methods of evaluating longitudinal treatments, including the role of sequentially ignorable designs and propensity scores; likelihood theory for instrumental variables and principal stratification designs and methods to deal with treatment noncompliance, direct and indirect effects, and censoring by death.

Covers statistical methods and theory underlying advanced analysis of genetic and genomic data to address mechanistic hypotheses and to build models for prediction. Topics include methods for complex association testing, inference on genetic architecture using mixed model techniques, methods for understanding causal mechanisms using Mendelian randomization, and integrative genomic analysis and strategies for clinical translation using risk prediction models. Requires making presentations and critiquing published studies that have used advance statistical methods to make new scientific observations.

Covers the basics of R software and the key capabilities of the Bioconductor project (a widely used open source and open development software project for the analysis and comprehension of data arising from high-throughput experimentation in genomics and molecular biology and rooted in the open source statistical computing environment R), including importation and preprocessing of high-throughput data from microarrays and other platforms. Also introduces statistical concepts and tools necessary to interpret and critically evaluate the bioinformatics and computational biology literature. Includes an overview of of preprocessing and normalization, statistical inference, multiple comparison corrections, Bayesian Inference in the context of multiple comparisons, clustering, and classification/machine learning.

Provides an overview of the strengths and limitations of randomized trial designs that adaptively change enrollment criteria during a trial (adaptive enrichment designs) and have the potential to provide improved information about which subpopulations benefit from new treatments. Explains recent advances in statistical methods for these designs, and presents adaptive design software planning tools. Discusses FDA guidance documents on adaptive designs. Examines methods for improving precision of estimators of the average treatment effect, by leveraging information in baseline variables; these methods can be used in adaptive designs as well as standard (non-adaptive) trial designs.

Equips students with the essential skills to build and evaluate AI and predictive modeling tools in medicine. Emphasizes practical implementation and rigorous evaluation to address unique challenges in healthcare. Addresses the limits of AI’s potential to benefit patients and presents actionable insights to overcome these challenges.

Introduces statistical techniques used to model, analyze, and interpret public health-related spatial data. Casts analysis of spatially dependent data into a general framework based on regression methodology. Covers the geostatistical techniques of kriging and semivariogram analysis, point process methods for spatial case-control data and area-level analysis. Focuses on statistical modeling (although some time will be spent covering topics related to cluster detection of health outcome events). Provides instruction in the public domain statistical computing environment R/RStudio.

Expands students’ abilities to design, conduct and report the results of a complete public health related spatial analysis. Focuses on further developing and integrating components of the spatial science paradigm, Spatial Data, GIS and Spatial Statistics. Introduces relevant topics in GIS, spatial data technologies and spatial statistics not previously covered in Spatial Analysis I-III.

In this course, we will focus on hands-on data analyses with a main objective of solving real-world problems. We will teach the necessary skills to gather, manage and analyze data using the R programming language. We will cover an introduction to data wrangling, exploratory data analysis, statistical inference and modeling, machine learning, and high-dimensional data analysis. We will also learn the necessary skills to develop data products including reproducible reports that can be used to effectively communicate results from data analyses. Students will train to become data scientists capable of both applied data analysis and critical evaluation of the next generation next generation of statistical methods.

Builds on Advanced Data Science I by introducing the idea of data products and encouraging students to build products based on their data analyses.

Presents the first part of the classical results of probability theory: measure spaces, LP spaces, probability measures, distributions, random variables, integration, and convergence theorems.

Presents the first part of the classical results of probability theory: independence, types of convergence, laws of large numbers, Borel-Cantelli lemmas, Kolmogorov’s zero-one law, random series and rates of convergence. Also discusses characteristic functions and weak convergence.

Presents the second part of the classical results of probability theory: central limit theorems, Poisson convergence, coupling, Stein-Chen method, densities, derivatives and conditional expectations.

Covers basic stochastic processes including martingales and Markov chains, followed by consideration of Markov Chain Monte Carlo (MCMC) methods.

Introduces probability and inference, including random variables; probability distributions; transformations and sums of random variables; expectations, variances, and moments; properties of random samples; and hypothesis testing.

Introduces modern statistical theory; sets principles of inference based on decision theory and likelihood (evidence) theory; derives the likelihood function based on design and model assumptions; derives the complete class theorem between Bayes and admissible estimators; derives minimal sufficient statistics as a necessary and sufficient reduction of data for accurate inference in parametric models; derives the minimal sufficient statistics in exponential families; introduces maximum likelihood and unbiased estimators; defines information and derives the Cramer-Rao variance bounds in parametric models; introduces empirical Bayes (shrinkage) estimators and compares to maximum likelihood in small-sample problems.

Derives the large sample distribution of the maximum likelihood estimator under standard regularity conditions; develops the delta method and the large sample distribution of functions of consistent estimators, including moment estimators; introduces the theory of estimation in semiparametric regression models based on increasing approximation of parametric models; develops likelihood intervals and confidence intervals with exact or approximate properties; develops hypothesis tests through decision theory.

Focuses on the asymptotic behavior of estimators, tests, and confidence interval procedures. Specific topics include: M-estimators; consistency and asymptotic normality of estimators; influence functions; large-sample tests and confidence regions; nonparametric bootstrap

Introduces statistical models and methods useful for analyzing univariate and multivariate failure time data. Extends Survival Analysis I to topics on length-bias and prevalent samplings, martingale theory, multivariate survival data, time-dependent ROC analysis, and recurrent event processes. Emphasizes nonparametric and semiparametric approaches for modeling, estimation and inferential results. Clinical and epidemiological examples included in class presentation illustrate statistical procedures.

Gives an overview of study designs and methodologies for building and evaluation of risk prediction models. Reviews fundamental concepts of epidemiologic cohort and case-control studies and related modeling approaches through Cox proportional hazard models and logistic regressions. Introduces concepts of absolute risk modeling within the Cox proportional hazard framework and incorporation of different sources data from research studies and population registries. Includes methodologies for building polygenic risk scores from recent genome-wide association studies (GWAS) and enhancing transportability of the scores to diverse populations. Focuses on model validation and evaluation for clinical utility and illustrates the concepts through a number of real-world examples.

Surveys basic statistical inference, estimates, tests and confidence intervals, and exploratory data analysis. Reviews probability distributions and likelihoods, independence and exchangeability, and modes of inference and inferential goals including minimizing MSE. Reviews linear algebra, develops the least squares approach to linear models through projections, and discusses connections with maximum likelihood. Covers linear, least squares regression, transforms, diagnostics, residual analysis, leverage and influence, model selection for estimation and predictive goals, departures from assumptions, efficiency and robustness, large sample theory, linear estimability, the Gauss Markov theorem, distribution theory under normality assumptions, and testing a linear hypothesis.

Introduces generalized linear model (GLM). Foundational topics include: contingency tables, logistic regression for binary and binomial data, models for polytomous data, Poisson log-linear model for count data, and GLM for exponential family. Introduces methods for model fitting, diagnosis, interpretation and inference and expands on those topics with techniques for handling overdispersion, quasi-likelihood and conditional likelihood. Introduces the role of quantitative methods and sciences in public health, including how to use them to describe and assess population health, and the critical importance of evidence in advancing public health knowledge.

Extends topics in 140.753 to encompass generalized linear mixed effects models. Introduces expectation-maximization and Markov Chain Monte Carlo. Introduces functional data analysis. Foundational topics include: linear mixed model, generalized linear mixed model, EM, MCMC, models for longitudinal data, and functional data analysis. Emphasizes both rigorous methodological development and practical data analytic strategies. Discusses the role of quantitative methods and sciences in public health, including how to use them to describe and assess population health, and the critical importance of evidence in advancing public health knowledge.

Illustrates current approaches to Bayesian modeling and computation in statistics. Describes simple familiar models, such as those based on normal and binomial distributions, to illustrate concepts such as conjugate and noninformative prior distributions. Discusses aspects of modern Bayesian computational methods, including Markov Chain Monte Carlo methods (Gibbs' sampler) and their implementation and monitoring. Bayesian Methods I is the first term of a two term sequence. The second term offering, Bayesian Methods II (140.763), develops models of increasing complexity, including linear regression, generalized linear mixed effects, and hierarchical models.

Examines statistics as a discipline along the path towards making decisions. First examines the justification of statistics from axioms on informed preferences and its close connection to Bayesian theory, and then examines the role of standardizing intermediate steps, through various additional restrictions on estimation, and studies the properties of the resulting methods.

Investigates the foundations of statistics as applied to assessing the evidence provided by an observed set of data. Topics include: law of likelihood, the likelihood principle, evidence and the likelihood paradigm for statistical inference; failure of the Neyman-Pearson and Fisherian theories to evaluate evidence; marginal, conditional, profile and other likelihoods; and applications to common problems of inference.

Covers the basics of statistical programming and other workflow skills required for the research and application of statistical methods. Includes programming with unix and the command line, git/github, working with Python, SQL, APIs, HTMLs, and interactive dashboard. Includes topics in statistical data analysis provide working examples.

Teaches students common algorithms and essential skill sets for statistical computing and software development through hands-on experiences. Takes a large-scale logistic regression as an example and has students work toward implementing a high-performance `hiperLogit` R package for fitting this model. Presents progressively advanced algorithms and computing techniques. Trains students in various best practices for developing statistical software, including how to start with a basic version of the package and progressively integrate more advanced features. Prepares students for further training in statistical computing techniques and algorithms as covered in Advanced Statistical Computing (140.779).

Covers the theory and application of common algorithms used in statistical computing. Includes topics: root finding, optimization, numerical integration, Monte Carlo, Markov chain Monte Carlo, stochastic optimization, and bootstrapping. Discusses specific algorithms: Newton-Raphson, EM, Metropolis-Hastings algorithm, Gibbs sampling, simulated annealing, Gaussian quadrature, Romberg integration, etc. Discusses applications of these algorithms to real research problems.

The MPH Capstone is an opportunity for students to work on public health practice projects that are of particular interest to them. The goal is for students to apply the skills and competencies they have acquired to a public health problem that simulates a professional practice experience.

Works in teams with a community-based organization (CBO) to: develop data science products (such as a dashboard, data analysis, series of visualizations, etc.), develop training material for CBO users to use and implement the products, develop sustainability/maintenance plans for CBOs to continue with the data science product in the future and how they can continue to use more data science methods more generally.

Works in teams with a community-based organization (CBO) to: develop data science products (such as a dashboard, data analysis, series of visualizations, etc.), develop training material for CBO users to use and implement the products, develop sustainability/maintenance plans for CBOs to continue with the data science product in the future and how they can continue to use more data science methods more generally.

Teaching Assistant (TA) for PhD students in Biostatistics

Exposes Biostatistics PhD students to advanced special topics that are not covered in the core courses. Comprises two- and four-week modules, with revolving instructors and topics. Possible topics include: theory underlying analysis for correlated data; latent variable modeling; advanced survival analysis; image analysis; time series; and likelihood inference.

Features presentations by Biostatistics faculty, postdocs and senior students on their research, with a focus on the public health and scientific questions driving the work, why the research makes a difference for the subject area and how to translate the research into practice. Offers an opportunity for discussion and clarification of key Biostatistical concepts being taught in the core courses and how they apply to problems in public health and science. Provides an opportunity for students and faculty to come together and discuss novel research questions and the role that Biostatisticians have in helping to support, enrich and promote solutions to these novel research questions.

Corequisite(s): Lab for PH.140.622

Corequisite(s): Must also enroll for PH.140.623

Corequisite(s): Must also enrol for PH.140.624

Explores and examines the ethical issues central to clinical research, reviews current and emerging regulations for clinical investigation and human subjects protections, and promotes understanding of the function and procedures of Institutional Review Boards.

Provides an overview of outcomes and effectiveness research. Emphasizes conceptual, design, and analytical aspects of research including policy implications. Covers both experimental (randomized) and observational designs. Addresses spectrum of outcomes and effectiveness research. Includes topics: qualitative research, cost-effectiveness and adaptive trial design.

Presents basic concepts of relational database design for clinical and basic research. Includes development of data collection forms, building databases for both “classic” and “longitudinal” projects using REDCap, data quality control, and data security.

Introduces basic principles of quality improvement/knowledge translation (QI/KT) research. Focuses on efforts aimed at increasing the extent to which patients receive evidence-based therapies. Discusses the concepts, methods, and applications of QI/KT theory and explores real-world QI/KT projects. Outlines the development of a research proposal for a specific QI/KT topic. Critically appraises a published guideline. Systematically reviews literature around a QI/KT topic.

Introduces the process of writing peer-reviewed research papers and provides a brief overview of grant proposal writing. Emphasizes a logical organization, clear writing, and an understanding of readers' and reviewers' expectations. Prepares selected sections of a first draft of a research paper based on their own research, and they receive feedback on their drafts through in-class discussion and written comments from the instructor.

Considers the principles of successful clinical research strategies and the requirements of funding agencies. Identifies a defined research project together with a suitable team of mentors and collaborators. Develops a written research proposal in the format of a grant application which integrates the scientific principles of the GTPCI curriculum.

Considers the principles of successful clinical research strategies and the requirements of funding agencies. Identifies a defined research project together with a suitable team of mentors and collaborators. Develops a written research proposal in the format of a grant application which integrates the scientific principles of the GTPCI curriculum.

Provides an intensive introduction to clinical research methods, emphasizing epidemiological & biostatistical methods.

Explores topics related to clinical investigation presented by faculty experts from within and outside of Johns Hopkins. Addresses issues related to biomeasurement, the design of randomized clinical trials, challenges with observational cohort studies, studies focusing on special populations (pediatric age group, pregnant subjects, international studies), and research fraud.

Explores in two terms, topics related to the science of clinical investigation presented by faculty experts from within and outside of Johns Hopkins. Addresses issues related to approaches/methods in clinical investigation (the design of clinical trials, challenges with cohort studies, translational studies, overview of artificial intelligence and machine learning, approaches to health services research, biomeasurement; systematic reviews), clinical investigation in special populations (pediatric age group, pregnant subjects, international studies); research fraud; the design of a conceptual framework for a research question and the development of the aims of a research proposal.

This course is designed to introduce new students to Environmental Health and Engineering (EHE) as a discipline. There will be weekly seminars from different faculty members each sharing an overview of research and professional practice activities that they engage in. Students will get a broad perspective of the research and career options in environmental engineering

Distribution Area: Engineering, Natural Sciences

This course provides a broad overview of environmental engineering - what environmental engineering is and what environmental engineers do. Whenever possible, the topic areas listed herein will be presented in the context of real-world environmental problems. Specific topics include: Environmental engineering ethics and justice, professional engineering licensure, membership in professional societies and associations, environmental engineering design process and components, mass and energy balances, environmental chemistry, mathematics of growth and decay; risk assessment and management; water resources (quantity and quality), surface water pollutants, eutrophication; groundwater flow, contaminant transport, groundwater remediation; water quality control, municipal water and wastewater systems, drinking water standards; air pollution, national ambient air quality standards, toxic air pollutants, mobile and stationary source control technologies, indoor air quality; global atmospheric change, the greenhouse effect, global energy balance, carbon emissions, stratospheric ozone depletion, and issues pertaining to hazardous, solid, and medical waste management. Overviews of pertinent environmental laws and regulations will be presented where applicable. The course encompasses conceptual design projects for environmental systems and infrastructures. The ePortfolio tag(s) on this course signify that there are one or more assignments offered in the course that provide students with the opportunity to be assessed for proficiency in completion of the relevant ePortfolio requirement(s).

Distribution Area: Engineering

AS Foundational Abilities: Science and Data (FA2)

EN Foundational Abilities: Ethical Reflection ePortfolio (FA5eP)

This course will cover basic topics in environmental biology and ecology for environmental engineering majors. The course will begin by describing the basic building blocks of life, cells and cellular components, which are common to all living things. We will then investigate factors that promote multicellularity, plant and animal physiology, and ecological principles that determine the distribution and function of organisms in the ecosystem.

Distribution Area: Natural Sciences

AS Foundational Abilities: Science and Data (FA2)

Humans make their living in the environment. How we do that changes nature and changes us. This class explores human impacts on the environment, how we have thought about our relationship to nature over the millennia, and contemporary environmental discourses.

Distribution Area: Humanities, Social and Behavioral Sciences

Students will utilize their chemistry knowledge to understand contemporary environmental issues in various media. Lectures will discuss the chemical phenomena leading to and resulting from air and water pollution issues. Climate change impacts to air and water chemistry will also be covered.

Distribution Area: Engineering, Natural Sciences

AS Foundational Abilities: Science and Data (FA2)

Fundamentals and applications of physical, chemical, and biological processes in the natural environment and engineered systems. The first part of this class will cover material balances, chemical equilibrium, chemical kinetics, vapor pressure, dissolution, sorption, acid-base reactions, transport phenomena, reactor design, and water quality. The second part of this class focuses on the principles and design of water and wastewater treatment processes, such as coagulation, sedimentation, filtration, biological treatment processes, and disinfection.

Distribution Area: Engineering, Natural Sciences

AS Foundational Abilities: Science and Data (FA2)

Introduction to laboratory measurements relevant to water supply and wastewater discharge, including pH and alkalinity, inorganic and organic contaminants in water, reactor analysis, bench testing for water treatment, and measurement and control of disinfection by-products. Recommended Course Background: EN.570.210 or Instructor Permission. Prerequisite: EN.570.303.

Prerequisite(s): Students must have completed Lab Safety training prior to registering for this class. To access the tutorial, login to myLearning and enter ASEN in the Search Box to access the proper course. Click here to access the Laboratory Safety Introductory Course;EN.570.303

Distribution Area: Engineering, Natural Sciences

AS Foundational Abilities: Science and Data (FA2)

Techniques from systems analysis applied to environmental engineering design and management problems: reservoir management, power plant siting, nuclear waste management, air pollution control, and transportation planning. Design projects are required.

Distribution Area: Engineering, Quantitative and Mathematical Sciences

AS Foundational Abilities: Science and Data (FA2)

In this interdisciplinary seminar class, we will discuss past, present, and future climate change. We will do so through several case studies on California; Eastern California is a hub of research on past climate change, and arguably few states are being more heavily impacted by current climate change than California. Throughout the first half of the course, we will learn how climate has changed in the past, the magnitude of those changes, the possible causes, and the physical and ecological impacts of past climate change. In the second half of the course, we will contrast past climate change with the impacts and severity of contemporary climate change. We will explore how climate change is stressing water resources, air quality, and ecological resilience across California, and we will critically evaluate how the state’s recent policy initiatives are ameliorating (or exacerbating) these stresses. The course will include a week-long spring break field trip to Eastern California where we will explore how climate change is stressing water resources, air quality, and ecological resilience across the state. Do not hesitate to email the instructor (smill191@jhu.edu) for more information about the field trip.

Distribution Area: Engineering, Natural Sciences

This is the 2 credit co-requisite course for EN.570.320 Case Studies in Climate Change offered in fall. In this course we will travel to Eastern California for a week-long field trip to explore how climate change is stressing water resources, air quality, and ecological resilience across California. We will critically evaluate how the state's recent policy initiatives are ameliorating (or exacerbating) these stresses. Please email the instructor if you are interested in this course (smill191@jhu.edu) for more details on the co-requisite.

Prerequisite(s): EN.570.320

How does water move through the landscape? How do we make predictions about how streamflow, groundwater, and soil moisture will respond to climate change and landscape change? In this course we will examine the processes controlling the movement of water, and the use of models to make hydrologic predictions. In particular the course covers the water balance, radiation balance and energy balance at the terrestrial earth surface; evaporation, transpiration, and their relationship to plant physiology and ecology; snow and ice; shallow groundwater, recharge, and base flow; runoff generation processes, and the role of surface and subsurface landscape structure. We will use simple model codes to gain an appreciation for the structure, calibration/validation, uncertainty, and post-processing of hydrologic models. Although the course is intended as a follow-on from Hydrology 570.353/653, it can be taken by any student with sufficient background, and with the consent of the instructor. Major assessment is a term paper (no exam).

Distribution Area: Engineering, Quantitative and Mathematical Sciences

AS Foundational Abilities: Science and Data (FA2)

The course introduces the principles of microeconomics and engineering economics, and applications of those principles to environmental engineering and public policy analysis. The financial and economic implications of engineering designs and control policies are critical to their success. We introduce principles of engineering economics and microeconomics (demand and production theory) and their uses in engineering decision making.

Distribution Area: Quantitative and Mathematical Sciences, Social and Behavioral Sciences

AS Foundational Abilities: Science and Data (FA2)

Sustainably managing aquatic environments for ecosystem and public health in a changing climate requires us to understand the combined effect of multiple physical, chemical, and biological processes. This class will equip students to apply their understanding of environmental engineering principles to real-world water quality issues using computer simulation models. Emphasis will be placed on gaining insight by understanding fundamental assumptions and equations, and application to classical problems of oxygen demand and eutrophication. Advanced topics including pathogen and toxin dynamics will also be introduced.

Prerequisite(s): EN.570.303

Distribution Area: Engineering, Natural Sciences

AS Foundational Abilities: Science and Data (FA2)

This course explores the concepts, assessment, and control of exposure to biological, physical and chemical hazards in the environment, the risk of adverse health outcomes resulting from such exposures, and the relationship between the exposures and health outcomes. These are placed in the context of the multi-disciplinary scientific field of environmental health as an essential component of the wider field of public health. The course is comprised of lectures, examples, group discussions, and group presentations. The proposed course will fill a gap in content and skill development in the issues and techniques relating to human health risk assessment. This course is targeted toward undergraduates who may not have had any exposure to environmental health science, and provides an introduction to environmental health using the framework of health risk assessment. The course first introduces the concepts of exposure to environmental hazards and biological dose, routes of exposure, statistical characterization of exposure variability in populations, and monitoring networks. The next set of concepts relate to hazard characterization, i.e., adverse health outcomes resulting from such exposures using a variety of types of data including in vitro and in vivo studies, and human epidemiological studies and their strengths and weaknesses. The next segment will deal with the quantitative characterization of the relationship between exposure/dose and the adverse health outcomes, i.e., the dose-response relationships, the metrics used for this, and quantitatively characterizing the health risks of a population. The course will introduce students to several tools including mathematical modeling of exposures and risk, and uncertainty analysis.

Prerequisite(s): (AS.171.101 ) AND (AS.030.101 AND AS.030.102) AND (AS.110.108 AND AS.110.109)

Distribution Area: Engineering, Natural Sciences

AS Foundational Abilities: Science and Data (FA2)

Introduction to the use of the principles of continuity, momentum, and energy to fluid motion. Topics include hydrostatics, ideal-fluid flow, laminar flow, turbulent flow. Recommended Course Background: Statics, Dynamics, and AS.110.302

Prerequisite(s): Students must have completed Lab Safety training prior to registering for this class. To access the tutorial, login to myLearning and enter Laboratory Safety Introductory Course in the Search Box to access the proper course. Click here to access the Laboratory Safety Introductory Course

Distribution Area: Engineering

AS Foundational Abilities: Science and Data (FA2)

The occurrence, distribution, movement, and properties of the waters of the Earth. Topics include precipitation, infiltration, evaporation, transpiration, groundwater, and streamflow. Analyzes include the frequency of floods and droughts, time-series analyzes, flood routing, and hydrologic synthesis and simulation. Recommended Course Background: AS.110.302, EN.570.351

Distribution Area: Engineering

AS Foundational Abilities: Science and Data (FA2)

The challenge of sustainability is simultaneously promoting human well-being while protecting the environment. Advancing a transition toward sustainability hinges on applying what we know to what we should do, including undergirding public policies with knowledge—especially knowledge gleaned from science, technology, and engineering. This course examines sustainability science, communications, and public policy through the lens of climate—what is known about climate change and impacts, what motivates public understanding, and what actions through mitigation and adaptation make progress toward sustainability.

Environmental history explores the interactions between social change and environmental transformation, or the ways in which societies modify landscapes and are themselves affected by geological, climatological and changing ecological conditions. Topics include the relationship between climate change and human evolution, the environmental impacts of market-based commodity production and regional economic specialization; the relationship between urbanization and environmental change; how warfare affects and is affected by environmental conditions.

Distribution Area: Humanities, Social and Behavioral Sciences

Writing Intensive

Fundamental aspects of microbiology and biochemistry as related to environmental pollution and water quality control processes, biogeochemical cycles, microbiological ecology, energetics and kinetics of microbial growth, and biological fate of pollutants.

Distribution Area: Engineering, Natural Sciences

This course will highlight recent discoveries and advances in environmental microbiology such as the identification of novel microbes, changing paradigms in nitrogen cycling, single-cell activity methods and novel methods in microbial community analysis. We will explore these topics by reading and discussing the current literature, supported by short lectures and in class activities related to the topics. Background in microbiology or microbial ecology is recommended. This course will meet with EN.570.615.

Distribution Area: Engineering, Natural Sciences

AS Foundational Abilities: Science and Data (FA2)

Data analytics is a field of study involving computational statistics, data mining and machine learning, to explore data sets, explain phenomena and build predictive models. The course begins with an overview of some traditional analysis approaches including ordinary least squares regression and related topics, notably diagnostic testing, detection of outliers and methods to impute missing data. More recent developments are presented, including ridge regression. Generalized linear models follow, emphasizing logistic regression and including models for polytomous data. Variable subsetting is addressed through stepwise procedures and the LASSO. Supervised machine learning topics include the basic concepts of boosting and bagging and several techniques: Decision Trees, Classification and Regression Trees, Random Forests, Conditional Random Forests, Adaptive Boosting, Support Vector Machines and Neural Networks. Unsupervised machine learning approaches are addressed through applications using k-means Clustering, Partitioning Around Medoids and Association Rule Mining. Methods for assessing model predictive performance are introduced including Confusion Matrices, k-fold Cross-Validation and Receiver Operating Characteristic Curves. Public health and environmental applications are emphasized, with modeling techniques and analysis tools implemented in R.

Distribution Area: Engineering, Quantitative and Mathematical Sciences

AS Foundational Abilities: Science and Data (FA2)

Through general lectures and case study examples, this course will expose students to some of the non-technical professional issues that they will face as professional engineers and in their second-semester senior design project.

Distribution Area: Engineering

AS Foundational Abilities: Science and Data (FA2)

The course consists of an introduction to the fundamental concepts of air pollution. Major topics of concern are aspects of atmospheric motion near the earth’s surface; basic thermodynamics of the atmosphere; atomospheric stability and turbulence; equations of mean motion in turbulent flow, mean flow in the surface boundary layer; mean flow, turbulence in the friction layer; diffusion in the atmosphere; statistical theory of turbulence; plume rise. Emphasis is place upon the role and utility of such topics in a systems analysis context, e.g., development of large and mesoscale air pollution abatement strategies. Comparisons of the fundamental concepts common to both air and water pollution are discussed. This course meets with EN.570.657, Air Pollution.

Distribution Area: Engineering, Quantitative and Mathematical Sciences

AS Foundational Abilities: Science and Data (FA2)

Engineering design process from problem definition to final design. Team projects include written/oral presentations. Students will form small teams that work with local companies or government agencies in executing the project. Recommended Course Background: EN.570.303, EN.570.352, and EN.570.419

Prerequisite(s): EN.570.419

Distribution Area: Engineering

AS Foundational Abilities: Science and Data (FA2)

The ability of ecosystems to recover from natural events and human actions is increasingly being threatened by climate change. This course is a study of ecosystems using mathematical models, with a particular focus on quantifying their resilience. We will model a number of ecosystems, including rainforests, lakes, temperate forests, savannas, and grasslands. We will analyze ecological phenomena that impact public health and commerce. These include lake eutrophication and anoxia, forest fires, and insect outbreaks. We will study whole-earth mathematical models, biodiversity, and models to study the spread and control of pandemics. New this semester will be game theory applications, urban ecosystems and environmental justice. In all cases, potential pro-active and reactive management and control approaches will be evaluated. Mathematical techniques will be introduced and developed in a context-sensitive manner. Undergraduate and graduate students are welcome to enroll. Recommended course background (i.e. potentially useful but not required): EN.553.291 or AS.110.302, or equivalent.

Distribution Area: Engineering, Quantitative and Mathematical Sciences

AS Foundational Abilities: Science and Data (FA2)

This course will begin with a brief review of the climate system and climate change projections for the 21st Century and beyond. We will then study the impact of atmospheric carbon dioxide and other greenhouse gases on the earth’s energy budget and understand the effect of these gases on radiative forcing on the earth’s surface. Topics will include the impacts of rising temperatures and changing precipitation patterns, Arctic amplification, climate tipping points and the Atlantic Meridional Overturning Circulation (AMOC), sources and impacts of rising sea levels, heat waves, droughts, and forest fires. We will study the impact of rising temperatures on energy needs, public health, vulnerable populations, and spread of infectious diseases. The course will emphasize use of simple physics-based models of the underlying processes to develop an understanding of the observations and projections. We will learn the workflow of retrieving climate change projections from reliable databases and sources, and using GIS tools for spatial analysis, we will quantify the impacts of climate change as predicted under different representative concentration and shared socioeconomic pathways. The course will also cover preparedness and potential adaptation solutions to mitigate the impacts of climate change in the near term and in the long term. The course will include in-class discussions on relevant topics brought forward by students. Students will employ the tools and skills learned in the course to conduct a project (possibly in groups) focused on projected climate change impacts on a specific environmental or health issue and adaptation measures for a chosen location.Background recommended but not required: AS110.109 or equivalent; some background in climate studies is desirable but not essential.

Distribution Area: Engineering

In this course we will develop mechanistic models for several of the phenomena in nature that impact our environment. The course will begin with a brief review of commonly used mechanics-based techniques and continue with a study of dynamics of moving objects, systems of particles, inertial and rotating reference frames, tidal, centrifugal, and Coriolis forces, and large-scale flows. One focus area will be the dynamics of phenomena such as rockslides, avalanches, and flow of debris; the structural mechanics and propagation of seismic waves; and tsunamis. We will study atmospheric and deep ocean thermodynamics models and understand the heat transfer processes causing large-scale flows including large-scale oceanic and atmospheric waves. Related other topics will include coastal oceans, currents, and waves. We will also discuss molecular vibrations and radiation, motion of microscopic particles, random walks and diffusion, and self-propulsion of small organisms. As part of the course, students will work on a semester-long, application-focused project. Recommended prior coursework: AS.171.101, 110.108/109

Fundamentals of groundwater flow and transport emphasizing groundwater as a major water resource, role of groundwater in the hydrologic cycle and as an agent of geologic processes, groundwater management, and groundwater contamination and its protection. Specific topics include the Darcy equation, storage of water in a porous medium, mass conservation and the groundwater flow equation, solutions to the groundwater flow equation, well hydraulics, unsaturated flow and vadose zone processes, contaminant transport, dispersion and adsorption. Assignments will include quantitative exercises requiring simple computer codes.

Prerequisite(s): EN.570.351 or Equivalent

This course focuses on a monetary approach to national income determination and the balance of payments. Money and banking, as well as commodity and financial markets, are dealt with under both central banking, as well as alternative monetary regimes. Particular emphasis is placed on currency board systems. Students learn how to properly conduct substantive economic research, utilizing primary data sources, statistical techniques and lessons from economic history. Findings are presented in the form of either memoranda or working papers of publishable quality. Exceptional work may be suitable for publication through the Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise. Advanced excel programming skills are required and students are expected to be pre-screened for research at the Library of Congress in Washington, D.C.. Bloomberg certification is a pre-requisite.

Prerequisite(s): EN.660.203 AND AS.180.101 AND AS.180.102

Distribution Area: Social and Behavioral Sciences

Writing Intensive

This course will provide a practical knowledge of molecular methods used to identify microorganisms present with a sample and gain insight into their function and dynamics. It will provide theoretical background into how to identify microorganisms and infer functional capabilities from genetic material, practical knowledge of common molecular methods and computational skills needed to analyze the resulting sequence data. No background in molecular biology, computation or microbiology is necessary. Course objectives include (1) understanding key aspects of microbial community composition from literature reports; (2) recognizing major microbial taxonomic groups and understanding phylogenetic relationships; (3) developing molecular biology lab skills required to create gene amplicon libraries from an aquatic samples; (4) working knowledge of statistical methods used to associate taxonomic and functional gene information with specific environmental conditions. Recommended Course Background: Microeconomics, Introductory Statistics, Optimization.Open to undergraduates. Co-listed with EN.570.619

Distribution Area: Engineering, Quantitative and Mathematical Sciences

AS Foundational Abilities: Science and Data (FA2)

Advanced undergraduate/graduate course that explores the chemical transformations of elements of the periodic table. Thermodynamic, kinetic, and mechanistic tools needed to address the multiple chemical species and interfaces that are present in natural waters and water-based technological processes are emphasized. Ligand exchange, metal ion exchange, adsorption/desorption, precipitation/dissolution, electron and group transfer reactions, and other concepts from coordination chemistry will be covered. Applications include elemental sources and sinks in ocean waters, reactive transport in porous media, weathering and soil genesis, nutrient and toxic element uptake by organisms, water treatment chemistry, and rational design of synthetic chemicals.Co-listed with EN.570.641

Prerequisite(s): AS.030.101 AND AS.030.102

Distribution Area: Natural Sciences, Quantitative and Mathematical Sciences

AS Foundational Abilities: Science and Data (FA2)

This course examines the major physical and chemical attributes and processes affecting the behavior of organic compounds in the environment. Emphasis is on anthropogenic hydrophobic organic compounds (e.g. halogenated organic compounds) and less hydrophobic emerging contaminants of concern (e.g. pharmaceuticals, explosives, etc). The course will also address (bio)analytical and computational approaches that are used to to detect organic compounds in the environment and assess their potential environmental and human health risks.

Prerequisite(s): EN.570.239 AND EN.570.303

Distribution Area: Engineering, Natural Sciences

AS Foundational Abilities: Science and Data (FA2)

Equilibrium speciation of natural waters, biofluids, and engineered systems. Topics include acids, bases, pH, and buffering; the precipitation and dissolution of solids; complexation and chelation; oxidation and reduction reactions; regulation and design. Intended for students from a variety of backgrounds. Recommended Course Background: One year of both Chemistry and Calculus. Meets with EN.570.643 (Aquatic and Biofluid Chemistry).

Distribution Area: Engineering, Natural Sciences

AS Foundational Abilities: Science and Data (FA2)

The application of basic physical and chemical concepts to the analysis of environmental engineering problems. Principles of chemical equilibrium and reaction, reaction engineering, interphase mass transfer, and adsorption are presented in the context of process design for unit operations in common use for water and wastewater treatment. Topics addressed include mass balances, hydraulic characteristics of reactors, reaction kinetics and reactor design, gas transfer processes (including both fundamentals of mass transfer and design analysis), and adsorption processes (including both fundamentals of adsorption and design analysis).

Prerequisite(s): EN.570.303 or permission of instructor.

Distribution Area: Engineering

AS Foundational Abilities: Science and Data (FA2)

This course focuses on the fundamentals and applications of aerobic and anaerobic biological unit processes for the treatment of municipal wastewater, resource recovery from waste streams, and biological processes for drinking water production. The principles of activated sludge treatment, suspended and biofilm growth, biological nutrient removal, anaerobic treatment, solids handling and treatment, land treatment, and nutrient removal are presented. This course uses concepts from microbiology and the basic principles of stoichiometry, energetics, and microbial kinetics to support the design of biological unit processes. This course will meet with EN.570.646.

Prerequisite(s): Students who are currently enrolled in or have taken EN.570.646 are not eligible to take EN.570.446.

Distribution Area: Engineering, Natural Sciences

AS Foundational Abilities: Science and Data (FA2)

Fundamentals and applications of physical and chemical processes used in water and wastewater treatment. This class will cover particle interactions, coagulation, flocculation, granular media filtration, membrane processes, and emerging water treatment processes. Recommended Course Background: EN.570.445 or Permission Required.

Distribution Area: Engineering

AS Foundational Abilities: Science and Data (FA2)

Engineers work in a social context. This course addresses a number of questions about that social context. How should we understand how societies come about, how they evolve,and why the rules of the game are what they are? What is the relationship between the individual and society, what does it mean to be 'modern,' are there different forms of rationality? How might all this impinge on what it means to be an engineer?

Distribution Area: Humanities, Social and Behavioral Sciences

Writing Intensive

This course focuses on the positive role that electrochemical science and engineering can play in the protection of the environment. Topics will include environmental electrochemical analyses, electrochemical methods for pollution abatement and control, water/air disinfection approaches, sensors, material recycling (metals) and green energy. The overarching goal of the course is to introduce students to the field of environmental electrochemistry through the study of electrochemical techniques and principles to environmental engineering and science. Prerequisites: One year of both Chemistry and Calculus.

Prerequisite(s): AS.030.101 AND AS.030.102

Distribution Area: Engineering

AS Foundational Abilities: Science and Data (FA2)

This course offers a holistic framework for evaluating the efficacy, chemical transformations, and environmental footprint of manufactured chemicals. Applications range from consumer products and reactor ingredients to pesticides and other chemicals intentionally added to farmlands and other environmental media. Analytical chemistry is a central feature of this course. Analytical instrumentation enables product purity to be tested, offers the means of monitoring reaction pathways and rates, and makes it possible to track dispersion and ultimate fate.

Prerequisite(s): Students who have taken, or are currently enrolled in, EN.570.663 are not eligible to take EN.570.463.

Distribution Area: Natural Sciences, Quantitative and Mathematical Sciences

This course focuses on company valuations, using a Probabilistic Discounted Cash Flow Model. Students use the model and primary data from financial statements filed with the Securities and Exchange Commission to calculate the value of publically-traded companies. Using Monte Carlo simulations, students also generate forecast scenarios, project likely share-price ranges and assess potential gains/losses. Stress is placed on using these simulations to diagnose the subjective market expectations contained in current objective market prices, and the robustness of these expectations. During the weekly seminar, students company valuations are reviewed and critiqued. A heavy emphasis is placed on research and writing. Exceptional work may be suitable for publication through the Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise. Advanced excel programming skills are required and students are expected to be pre-screened for research at the Library of Congress in Washington, D.C.. Bloomberg certification is a pre-requisite.

Prerequisite(s): EN.660.203 AND (EN.570.428 OR AS.360.528)

Distribution Area: Quantitative and Mathematical Sciences, Social and Behavioral Sciences

AS Foundational Abilities: Science and Data (FA2)

Writing Intensive

The world needs to change from a fossil fuel energy infrastructure to one based on renewable energy to decrease CO2 emissions and minimize the impacts of climate change. This switch will require massive changes to our existing infrastructure as well as how we consume energy in our daily lives. Understanding and quantifying energy use is important for making effective changes in our daily energy use. In this course we will quantify energy use, study how much energy and water we use in our daily lives, and determine how much CO2 gets emitted from our homes and through our activities, as well as by components of our infrastructure (electric power industries, food systems, building materials such as concrete and steel, and transportation). We will calculate energy consumed by electric vehicles versus cars with internal combustion engines and compare that energy to that used by other forms of transportation. We will evaluate how our homes and buildings, and food and transportation infrastructure can be modified to reduce energy consumption and carbon emissions. Greenhouse gases that cause climate change include more than just carbon from fossil fuels. We will therefore also discuss sources of other greenhouse gases and methods to mitigate and reduce their emissions. Other topics include modeling rates of renewable energy growth, energy storage, climate science, and environmental and climate justice. This course is most appropriate for Engineering students, but it can be taken by any student interested in the topic. Prerequisites are Math and Chem.

This course covers advanced engineering and scientific concepts and principles applied to the management of municipal solid waste (MSW) to protect human health and the environment and the conservation of limited resources through resource recovery and recycling of waste material. Topics include regulatory aspects and hierarchy of integrated solid waste management; characterization and properties of MSW; municipal wastewater sludge utilization; hazardous waste found in MSW; collection, transfer, and transport of solid waste; separation, processing, composting, and recycling of waste material; the landfill method of solid waste disposal which encompasses guidelines for design, construction, operation, siting, monitoring, remedial actions, and closure of MSW landfills. Permitting and public participation processes, current issues, and inventive approaches are also addressed.

Distribution Area: Engineering

AS Foundational Abilities: Science and Data (FA2)

The course addresses traditional and innovative technologies, concepts, and principles applied to the management of hazardous waste to protect human health and the environment. Topics include regulatory requirements; fate and transport of contaminants; physical, chemical, and biological treatment; land disposal restrictions; guidelines for design, construction, and closure of hazardous waste landfills; environmental monitoring systems; management of medical waste and treatment options; management of underground and above-ground storage tanks; toxicology and risk assessment; pollution prevention and waste minimization; hazardous waste generators and transporters; permitting and enforcement of hazardous waste facilities; closure and financial assurance requirements; and RCRA Subtitle C Corrective Action and CERCLA/Superfund remediation processes.

Distribution Area: Engineering

AS Foundational Abilities: Science and Data (FA2)

This class introduces the decision analysis approach to making decisions under risk and uncertainty. Topics covered include decision trees, Bayes law, value of information analysis, elicitation of subjective probabilities, multiattribute utility, and their applications to environmental and energy problems. Textbook: R.T. Clemen, Making Hard Decisions, 2014. Recommended Course Background: introductory statistics and probability.

Distribution Area: Engineering, Quantitative and Mathematical Sciences

AS Foundational Abilities: Science and Data (FA2)

This seminar examines the pursuit of sustainability policy. Students will explore whether the complex systems approach to sustainability and sustainable development leads to different priorities, strategies, and methods compared to conventional approaches and analytical tools that are used in environmental policy. The seminar will draw from case studies related to energy and climate change, water sustainability, and land use change, as well as theoretical materials. Invited speakers will include technical experts and practitioners.

This seminar examines the pursuit of sustainability policy. Students will explore whether the complex systems approach to sustainability and sustainable development leads to different priorities, strategies, and methods compared to conventional approaches and analytical tools that are used in environmental policy. The seminar will draw from case studies related to energy and climate change, water sustainability, and land use change, as well as theoretical materials. Invited speakers will include technical experts and practitioners. This course is a continuation of EN.570.498, which is recommended but not required.

This course is open to EHE undergraduate majors only who are conducting an investigation of an environmental engineering problem under the supervision of the faculty instructor.

Prerequisite(s): You must request Independent Academic Work using the Independent Academic Work form found in Student Self-Service: Registration, Online Forms.

This course is open to EHE undergraduate majors only who are conducting an investigation of an environmental engineering problem under the supervision of the faculty instructor.

Prerequisite(s): You must request Independent Academic Work using the Independent Academic Work form found in Student Self-Service: Registration, Online Forms.

This course investigates the workings of financial, foreign exchange, and commodity futures markets. Research is focused on price behavior, speculation, and hedging in these markets. Extensive research and writing of publishable quality are required. Exceptional work may be suitable for publication through the Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise. An approved research proposal is a pre-requisite.

Prerequisite(s): You must request Independent Academic Work using the Independent Academic Work form found in Student Self-Service: Registration, Online Forms.

This course is open to EHE undergraduate majors only who are conducting an investigation of an environmental engineering problem and preparing a project deliverable under the supervision of the faculty instructor.

Prerequisite(s): You must request Independent Academic Work using the Independent Academic Work form found in Student Self-Service: Registration, Online Forms.

Students pursue research problems individually or in pairs. Although the research is under the direct supervision of a faculty member, students are encouraged to pursue the research as independently as possible. The professor and students will meet weekly in required meetings.

Prerequisite(s): You must request Independent Academic Work using the Independent Academic Work form found in Student Self-Service: Registration, Online Forms.

Investigation of an environmental engineering problem under faculty instructor supervision during summer session.

Prerequisite(s): You must request Independent Academic Work using the Independent Academic Work form found in Student Self-Service: Registration, Online Forms.

Methods for optimizing operation and design of energy systems and for analyzing market impacts of energy and environmental policies are reviewed, emphasizing both theory and solution of actual models. Review of linear and nonlinear programming and complementarity methods for market simulation. Recommended Course Background: EN.570.493 and EN.570.495 or equivalent.

Distribution Area: Engineering, Quantitative and Mathematical Sciences

Fundamental aspects of microbiology and biochemistry as related to environmental pollution and water quality control processes, biogeochemical cycles, microbiological ecology, energetics and kinetics of microbial growth, and biological fate of pollutants.

Distribution Area: Engineering, Natural Sciences

This course will highlight recent discoveries and advances in environmental microbiology such as the identification of novel microbes, changing paradigms in nitrogen cycling, single-cell activity methods and novel methods in microbial community analysis. We will explore these topics by reading and discussing the current literature, supported by short lectures and in class activities related to the topics. Background in microbiology or microbial ecology is recommended. This course will meet with EN.570.415

Distribution Area: Engineering, Natural Sciences

Data analytics is a field of study involving computational statistics, data mining and machinelearning, to explore data sets, explain phenomena and build predictive models. The coursebegins with an overview of some traditional analysis approaches including ordinary leastsquares regression and related topics, notably diagnostic testing, detection of outliers andmethods to impute missing data. More recent developments are presented, including ridgeregression. Generalized linear models follow, emphasizing logistic regression and includingmodels for polytomous data. Variable subsetting is addressed through stepwise procedures andthe LASSO. Supervised machine learning topics include the basic concepts of boosting andbagging and several techniques: Decision Trees, Classification and Regression Trees, RandomForests, Conditional Random Forests, Adaptive Boosting, Support Vector Machines and NeuralNetworks. Unsupervised machine learning approaches are addressed through applications usingk-means Clustering, Partitioning Around Medoids and Association Rule Mining. Methods forassessing model predictive performance are introduced including Confusion Matrices, k-foldCross-Validation and Receiver Operating Characteristic Curves. Public health andenvironmental applications are emphasized, with modeling techniques and analysis toolsimplemented in R. EN.570 616 meets with EN.570.416. Undergraduate (usually Senior) students should sign up for 416 with permission of instructor only.

Distribution Area: Engineering, Quantitative and Mathematical Sciences

This graduate level course will provide a practical knowledge of molecular methods used to identify microorganisms present with a sample and gain insight into their function and dynamics. It will provide theoretical background into how to identify microorganisms and infer functional capabilities from genetic material, practical knowledge of common molecular methods and computational skills needed to analyze the resulting sequence data. No background in molecular biology, computation or microbiology is necessary. Course objectives include (1) understanding key aspects of microbial community composition from literature reports; (2) recognizing major microbial taxonomic groups and understanding phylogenetic relationships; (3) developing molecular biology lab skills required to create gene amplicon libraries from an aquatic samples; (4) working knowledge of statistical methods used to associate taxonomic and functional gene information with specific environmental conditions. Recommended Course Background: Microeconomics, Introductory Statistics, Optimization.Co-listed with EN.570.429

This course will begin with a brief review of the climate system and climate change projections for the 21st Century and beyond. We will then study the impact of atmospheric carbon dioxide and other greenhouse gases on the earth’s energy budget and understand the effect of these gases on radiative forcing on the earth’s surface. Topics will include the impacts of rising temperatures and changing precipitation patterns, Arctic amplification, climate tipping points and the Atlantic Meridional Overturning Circulation (AMOC), sources and impacts of rising sea levels, heat waves, droughts, and forest fires. We will study the impact of rising temperatures on energy needs, public health, vulnerable populations, and spread of infectious diseases. The course will emphasize use of simple physics-based models of the underlying processes to develop an understanding of the observations and projections. We will learn the workflow of retrieving climate change projections from reliable databases and sources, and using GIS tools for spatial analysis, we will quantify the impacts of climate change as predicted under different representative concentration and shared socioeconomic pathways. The course will also cover preparedness and potential adaptation solutions to mitigate the impacts of climate change in the near term and in the long term. The course will include in-class discussions on relevant topics brought forward by students. Students will employ the tools and skills learned in the course to conduct a project (possibly in groups) focused on projected climate change impacts on a specific environmental or health issue and adaptation measures for a chosen location.Background recommended but not required: AS110.109 or equivalent; some background in climate studies is desirable but not essential.

Distribution Area: Engineering

In this course we will develop mechanistic models for several of the phenomena in nature that impact our environment. The course will begin with a brief review of commonly used mechanics-based techniques and continue with a study of dynamics of moving objects, systems of particles, inertial and rotating reference frames, tidal, centrifugal, and Coriolis forces, and large-scale flows. One focus area will be the dynamics of phenomena such as rockslides, avalanches, and flow of debris; the structural mechanics and propagation of seismic waves; and tsunamis. We will study atmospheric and deep ocean thermodynamics models and understand the heat transfer processes causing large-scale flows including large-scale oceanic and atmospheric waves. Related other topics will include coastal oceans, currents, and waves. We will also discuss molecular vibrations and radiation, motion of microscopic particles, random walks and diffusion, and self-propulsion of small organisms. As part of the course, students will work on a semester-long, application-focused project. Recommended prior coursework: AS.171.101, 110.108/109

Fundamentals of groundwater flow and transport emphasizing groundwater as a major water resource, role of groundwater in the hydrologic cycle and as an agent of geologic processes, groundwater management, and groundwater contamination and its protection. Specific topics include the Darcy equation, storage of water in a porous medium, mass conservation and the groundwater flow equation, solutions to the groundwater flow equation, well hydraulics, unsaturated flow and vadose zone processes, contaminant transport, dispersion and adsorption. Assignments will include quantitative exercises requiring simple computer codes. Recommended Course Background: A course in Differential Equations or Consent of Instructor.

How does water move through the landscape? How do we make predictions about how streamflow, groundwater, and soil moisture will respond to climate change and landscape change? In this course we will examine the processes controlling the movement of water, and the use of models to make hydrologic predictions. In particular the course covers the water balance, radiation balance and energy balance at the terrestrial earth surface; evaporation, transpiration, and their relationship to plant physiology and ecology; snow and ice; shallow groundwater, recharge, and base flow; runoff generation processes, and the role of surface and subsurface landscape structure. We will use simple model codes to gain an appreciation for the structure, calibration/validation, uncertainty, and post-processing of hydrologic models. Although the course is intended as a follow-on from Hydrology 570.353/653, it can be taken by any student with sufficient background, and with the consent of the instructor. Major assessment is a term paper (no exam).

Distribution Area: Engineering, Quantitative and Mathematical Sciences

Advanced undergraduate/graduate course that explores the chemical transformations of elements of the periodic table. Thermodynamic, kinetic, and mechanistic tools needed to address the multiple chemical species and interfaces that are present in natural waters and water-based technological processes are emphasized. Ligand exchange, metal ion exchange, adsorption/desorption, precipitation/dissolution, electron and group transfer reactions, and other concepts from coordination chemistry will be covered. Applications include elemental sources and sinks in ocean waters, reactive transport in porous media, weathering and soil genesis, nutrient and toxic element uptake by organisms, water treatment chemistry, and rational design of synthetic chemicals. Co-listed with EN.570.441

Distribution Area: Engineering, Natural Sciences

This course examines the major physical and chemical attributes and processes affecting the behavior of organic compounds in the environment. Emphasis is on anthropogenic hydrophobic organic compounds (e.g. halogenated organic compounds) and less hydrophobic emerging contaminants of concern (e.g. pharmaceuticals, explosives, etc). The course will also address (bio)analytical and computational approaches that are used to to detect organic compounds in the environment and assess their potential environmental and human health risks.

Distribution Area: Engineering, Natural Sciences

Equilibrium speciation of natural waters, biofluids, and engineered systems. Topics include acids, bases, pH, and buffering; the precipitation and dissolution of solids; complexation and chelation; oxidation and reduction reactions; regulation and design. Intended for students from a variety of backgrounds. Recommended Course Background: One year of both Chemistry and Calculus. Meets with EN.570.443 (Aquatic and Biofluid Chemistry)

Distribution Area: Engineering, Natural Sciences

The application of basic physical and chemical concepts to the analysis of environmental engineering problems. Principles of chemical equilibrium and reaction, reaction engineering, interphase mass transfer, and adsorption are presented in the context of process design for unit operations in common use for water and wastewater treatment. Topics addressed include mass balances, hydraulic characteristics of reactors, reaction kinetics and reactor design, gas transfer processes (including both fundamentals of mass transfer and design analysis), and adsorption processes (including both fundamentals of adsorption and design analysis).

Distribution Area: Engineering

Fundamentals and application of aerobic and anaerobic biological unit processes for the treatment of municipal and industrial wastewater.

Prerequisite(s): Students who have taken or are enrolled in EN.570.446 are not eligible to enroll in EN.570.646.

Distribution Area: Engineering, Natural Sciences

Fundamentals and applications of physical and chemical processes used in water and wastewater treatment. This class will cover particle interactions, coagulation, flocculation, granular media filtration, membrane processes, and emerging water treatment processes. Recommended Course Background: EN.570.445 or Permission Required.

Distribution Area: Engineering

Sustainably managing aquatic environments for ecosystem and public health in a changing climate requires us to understand the combined effect of multiple physical, chemical, and biological processes. This class will equip students to apply their understanding of environmental engineering principles to real-world water quality issues using computer simulation models. Emphasis will be placed on gaining insight by understanding fundamental assumptions and equations, and application to classical problems of oxygen demand and eutrophication. Advanced topics including pathogen and toxin dynamics will also be introduced. Students should have taken EN.570.303 (or equivalent).

An advanced laboratory covering principles of modern analytical techniques and their applications to problems in environmental sciences. Topics include electrochemistry, spectrometry, gas and liquid chromatography. The course is directed to graduate students and advanced undergraduates in engineering and natural sciences. Co-listed with EN.570.452

Prerequisite(s): Students must have completed Lab Safety training prior to registering for this class. To access the tutorial, login to myLearning and enter 458083 in the Search box to locate the appropriate module.;EN.570.443 OR EN.570.643 OR permission of instructor.

Distribution Area: Engineering, Natural Sciences

Writing Intensive

The occurrence, distribution, movement, and properties of the waters of the Earth. Topics include precipitation, infiltration, evaporation, transpiration, groundwater, and streamflow. Analyzes include the frequency of floods and droughts, time-series analyzes, flood routing, and hydrologic synthesis and simulation. Recommended Course Background: AS.110.302, EN.570.351

Distribution Area: Engineering

This course focuses on the positive role that electrochemical science and engineering can play in the protection of the environment. Topics will include environmental electrochemical analyses, electrochemical methods for pollution abatement and control, water/air disinfection approaches, sensors, material recycling (metals) and green energy. The overarching goal of the course is to introduce students to the field of environmental electrochemistry through the study of electrochemical techniques and principles to environmental engineering and science. Prerequisites: One year of both Chemistry and Calculus.

Distribution Area: Engineering

The course consists of an introduction to the fundamental concepts of air pollution. Major topics of concern are aspects of atmospheric motion near the earth’s surface; basic thermodynamics of the atmosphere; atomospheric stability and turbulence; equations of mean motion in turbulent flow, mean flow in the surface boundary layer; mean flow, turbulence in the friction layer; diffusion in the atmosphere; statistical theory of turbulence; plume rise. Emphasis is place upon the role and utility of such topics in a systems analysis context, e.g., development of large and mesoscale air pollution abatement strategies. Comparisons of the fundamental concepts common to both air and water pollution are discussed.

Distribution Area: Engineering, Quantitative and Mathematical Sciences

This course offers a holistic framework for evaluating the efficacy, chemical transformations, and environmental footprint of manufactured chemicals. Applications range from consumer products and reactor ingredients to pesticides and other chemicals intentionally added to farmlands and other environmental media. Analytical chemistry is a central feature of this course. Analytical instrumentation enables product purity to be tested, offers the means of monitoring reaction pathways and rates, and makes it possible to track dispersion and ultimate fate. Also offered as EN.570.453 for undergraduates.

Distribution Area: Natural Sciences, Quantitative and Mathematical Sciences

The challenge of sustainability is simultaneously promoting human well-being while protecting the environment. Advancing a transition toward sustainability hinges on applying what we know to what we should do, including undergirding public policies with knowledge—especially knowledge gleaned from science, technology, and engineering. This course examines sustainability science, communications, and public policy through the lens of climate—what is known about climate change and impacts, what motivates public understanding, and what actions through mitigation and adaptation make progress toward sustainability.

The world needs to change from a fossil fuel energy infrastructure to one based on renewable energy to decrease CO2 emissions and minimize the impacts of climate change. This switch will require massive changes to our existing infrastructure as well as how we consume energy in our daily lives. Understanding and quantifying energy use is important for making effective changes in our daily energy use. In this course we will quantify energy use, study how much energy and water we use in our daily lives, and determine how much CO2 gets emitted from our homes and through our activities, as well as by components of our infrastructure (electric power industries, food systems, building materials such as concrete and steel, and transportation). We will calculate energy consumed by electric vehicles versus cars with internal combustion engines and compare that energy to that used by other forms of transportation. We will evaluate how our homes and buildings, and food and transportation infrastructure can be modified to reduce energy consumption and carbon emissions. Greenhouse gases that cause climate change include more than just carbon from fossil fuels. We will therefore also discuss sources of other greenhouse gases and methods to mitigate and reduce their emissions. Other topics include modeling rates of renewable energy growth, energy storage, climate science, and environmental and climate justice. This course is most appropriate for Engineering students, but it can be taken by any student interested in the topic. Prerequisites are Math and Chem.

This course covers advanced engineering and scientific concepts and principles applied to the management of municipal solid waste (MSW) to protect human health and the environment and the conservation of limited resources through resource recovery and recycling of waste material. Topics include regulatory aspects and hierarchy of integrated solid waste management; characterization and properties of MSW; municipal wastewater sludge utilization; hazardous waste found in MSW; collection, transfer, and transport of solid waste; separation, processing, composting, and recycling of waste material; the landfill method of solid waste disposal which encompasses guidelines for design, construction, operation, siting, monitoring, remedial actions, and closure of MSW landfills. Permitting and public participation processes, current issues, and inventive approaches are also addressed.

Distribution Area: Engineering

The course addresses traditional and innovative technologies, concepts, and principles applied to the management of hazardous waste to protect human health and the environment. Topics include regulatory requirements; fate and transport of contaminants; physical, chemical, and biological treatment; land disposal restrictions; guidelines for design, construction, and closure of hazardous waste landfills; environmental monitoring systems; management of medical waste and treatment options; management of underground and above-ground storage tanks; toxicology and risk assessment; pollution prevention and waste minimization; hazardous waste generators and transporters; permitting and enforcement of hazardous waste facilities; closure and financial assurance requirements; and RCRA Subtitle C Corrective Action and CERCLA/Superfund remediation processes.

Distribution Area: Engineering

A collection of systems analytic techniques which are frequently used in the study of public decision making is presented. Emphasis is on mathematical programming techniques. Primarily linear programming, integer and mixed-integer programming, and multiobjective programming. Recommended Course Background: AS.110.106-AS.110.107/AS.110.109

Distribution Area: Engineering, Quantitative and Mathematical Sciences

This class introduces the decision analysis approach to making decisions under risk and uncertainty. Topics covered include decision trees, Bayes law, value of information analysis, elicitation of subjective probabilities, multiattribute utility, and their applications to environmental and energy problems. Textbook: R.T. Clemen, Making Hard Decisions, 2014. Recommended Course Background: introductory statistics and probability.

Distribution Area: Engineering, Quantitative and Mathematical Sciences

This seminar examines the pursuit of sustainability policy. Students will explore whether the complex systems approach to sustainability and sustainable development leads to different priorities, strategies, and methods compared to conventional approaches and analytical tools that are used in environmental policy. The seminar will draw from case studies related to energy and climate change, water sustainability, and land use change, as well as theoretical materials. Invited speakers will include technical experts and practitioners.

This seminar examines the pursuit of sustainability policy. Students will explore whether the complex systems approach to sustainability and sustainable development leads to different priorities, strategies, and methods compared to conventional approaches and analytical tools that are used in environmental policy. The seminar will draw from case studies related to energy and climate change, water sustainability, and land use change, as well as theoretical materials. Invited speakers will include technical experts and practitioners. This course is a continuation of EN.570.698, which is recommended but not required.

Investigation of an environmental engineering problem and preparation of project deliverable under supervision of faculty instructor.

This course is intended for Ph.D. students continuing their doctoral research and thesis. Students should register for the section taught by their faculty advisor.

Distribution Area: Engineering, Natural Sciences

Investigation of an environmental engineering problem and preparation of project report.

Distribution Area: Engineering

The Jensen Fellowship/Internship is intended to support, through financial assistance and workplace experience, an Environmental Health and Engineering (EHE) graduate student seeking a terminal degree in environmental science or engineering. In honor of Loren D. Jensen, Ph.D., EA’s founder and former faculty member of the Department of Geography and Environmental Engineering, the Fellowship is awarded to the applicant who best represents potential to develop into a consultant in the environmental consulting and engineering field.

This course features a set of guest lectures from prominent faculty in environmental science and engineering. Each week, faculty in the department invite speakers from academic, government, or industrial institutions doing exciting work in their field. Students will be required to attend the seminar each week and are invited to ask questions of the speaker and interact with them before or after each seminar to learn about research and job opportunities in the field.

A weekly meeting of students interested in systems analysis applications in the energy and environmental fields, which often involve multiple objectives, risks, public policy, and technological, economic, and natural environmental systems. There will be weekly visiting speakers or presentations by the students themselves on topical issues and methods for simulating, controlling, and designing energy and environmental systems.

A weekly meeting of students interested in environmental engineering, environmental chemistry, and engineering microbiology. Visiting speakers and the students themselves present their work and receive in-depth feedback from other participants.

Explores the evolution and application of policy and legal remedies that promote respect for and protection of -internationally recognized- human rights in general and the protection & fulfillment offered through public health and health care access as a human right. Explores the creation of a culture of human rights and its application to health as a human right, focusing broadly on health as a human right using: a) human rights law & policy to enhance health programs, b. the impact of public health policies, programs and practices on human rights; and c. the health impacts of human rights violations. Discusses gross violations during conflict and insidious violations associated with the mistreatment of marginalized groups and individuals, including violence (broadly interpreted) may be included based on the stated interests of class participants.

Summarizes the concepts and principles underlying environmental health sciences, characterizes the major environmental agents and vectors affecting public health, and introduces major ecologic, scientific, and political issues from selected topical areas of environmental health. Presents the major concepts and principles that are environmentally mediated and that constitute a risk to humans —emphasizing the chemical, biological, and physical agents and factors. Considers sources, environmental pathways of transmission, exposure-dose relationships, adverse health effects, and particularly susceptible populations. Identifies the principles and methods of risk assessment and risk management, and uses these as a unifying theme.

Introduces students to how environmental health hazards can affect human health in low and middle income settings. The core concepts are: exposure assessment, environmental epidemiology, and risk communication. Topics include: heavy metals, water sanitation and hygiene, waterborne and related diseases, tropical diseases, energy resources and health, and air pollution.

Provides tools for applying the Bayesian framework for decision analysis. Explores, through discussion and exercises, opportunities for its application in occupational and environmental hygiene data interpretation and exposure risk assessment. Emphasizes the use of a number of heuristics (rules of thumb) and mathematical exposure models to increase the accuracy and efficiency of exposure decision-making. Includes several exposure assessment exercises using videos of tasks and basic characterization of the environment.

Students learn first-hand about food system sustainability issues by engaging with organizations working for positive change. They broaden their learning through classroom education, readings and assignments covering: food system sustainability, with emphasis on content areas relevant to student projects; skills and context relevant to working with these organizations; and reflection on service-learning experiences.

Explores critical food system priorities including the dynamics between agriculture and the climate crisis, emerging threats from zoonotic diseases, agricultural land use, and the health of workers and rural populations. Invites insights from leading experts on alternative proteins, institutional food procurement, carbon sequestration, and other advances in food system change. Challenges students to reconcile competing priorities and conflicting recommendations. Applies an array of frameworks, including a One Health lens, to the public health and ecological impacts of food production. Draws lectures from the peer-reviewed literature and includes dynamic podcast-style interviews.

Explores the science of how and why the climate is changing, as well as the likely and potential impacts of climate change on public health in developed and developing regions of the world. Discusses how rising sea levels;fossil fuels,worsening air quality; frequency and severity of weather-related disasters; and scarcity of food and drinking water are all influenced by the changing climate. Examinespolicy,behavior, mental health, social determinants of health,economics,sustainablestrategies for mitigation and adaptation, and the role public health professionals can play in these decisions. Synthesizes concepts and knowledge from multiple disciplines through a hands-on, translational project.

Presents concepts, principles, and applications underlying the field of environmental health. Topics include contaminant sources, fate and transport, exposure and dose, study design in toxicology, climate change, environmental justice, and the built environment. Emphasizes policy, practice, and systems-based approaches. Discussions and exercises focus on reviewing current environmental health issues in the media, evaluating peer-reviewed literature on these issues, and deliberating on potential opportunities for prevention and intervention.

Applies principles of environmental health to a real-world problem impacting a community in our own backyard. Investigates the driving forces that underlie these complex environmental health issues. Explores strategies for assessment and intervention. Integrates the lived experiences of community members and students wherever possible. Incorporates group work, so students are expected to coordinate schedules with each other and the community-based organization. Students practice skills in project management and data analysis—enacting theoretical principles of environmental health learned in previous classes—while working in a group setting. The combination of these practical skills and theoretical foundations are fundamental in today’s professional practice.

Explores how global environmental issues such as global warming, urban sprawl, deforestation, mining, environmental refugees, biodiversity loss, and food security may cause increasing human harm. Provides an overview of the science and policy issues related to the changing environment, how environmental problems affect human health, and emphasizes potential solutions and sustainable development methods essential for resolving a myriad of environment-health problems.

Addresses environmental contaminates originating from four environmental vectors, Air, Water, Soil, and Food, impact human health. Focuses on the foundational knowledge and methods in environmental health needed by doctoral students to prepare for advanced careers in environmental health including integration of multi-disciplinary approaches.

Prepares students to excel in required teaching activities as part of their PhD program. Includes access to teaching resources, departmental best practices and faculty support. Reviews critical skills in teaching and communicating environmental health and engineering concepts.

Explores the connections between urban agriculture and public health using case studies around the United States. Examines the people, practices, policies, and public health significance of urban agriculture. Lectures and background reading provide an evidence-based introduction to the connections among public health, agriculture, community development and food justice. Students are expected to listen to online lecture(s), do readings, and quizzes before the course begins. The course be based at the Center for a Livable Future’s Food System Lab, an urban farm at Cylburn Arboretum featuring an aquaponics system. Field trips to local food system sites, such as a farm, farmers market and community garden, and hands-on activities help students blend theory and practice. For a final project, students will translate what they learn in the course by exploring and reporting on aspects of their own local food environment.

Introduces the key health effects of environmental exposures and the epidemiologic methods used to identify and estimate those effects. Emphasizes the interplay of methodological issues, including the assessment of environmental exposures and the understanding of specific disease processes in identifying the health impact of environmental exposures in the population. Students learn about environmental exposures (including water and air pollution, food contamination, ionizing radiation, persistent environmental pollutants and emergent environmental exposures) and key methodological issues relevant for these exposures in population studies (including study design, exposure assessment and biomonitoring, disease clusters, dose-response relationships, susceptibility, geographic analysis, and evidence synthesis).

Provides opportunities to discuss issues and concepts related to Environmental Health. Discusses evaluation of existing research, identification of gaps and topics, and design of research projects. Facilitates preparation for the comprehensive written exams, the design and conduct of practicum projects, preliminary oral exams, dissertation projects, and the final oral exam. Provides opportunities to present work-in-progress on overall projects and on specific research methodologies and to give and receive peer feedback. Emphasizes clear communication of ideas.

Examines the laws, regulations and policies that govern the relationship between biomedical institutions, laboratory researchers and animals that have developed over the past half-century. Focuses on the systems of governmental and self-regulation that are at the heart of the U.S. (and international) efforts to address ethical and societally beneficial laboratory animal use. Explores the ethical foundations of these laws and discusses the relationship between scientists, animals and society. Includes both in-person and online lectures by research scientists, veterinarians, and professionals who are experts in humane science. Features class discussions and case studies.

Provides an overview of the federal drinking water and clean water laws, as well as the resultant regulations from these laws. Considers the contaminants addressed by the regulations and the drinking water and wastewater treatment necessary to comply with the regulations. Explores the use of the Consumer Confidence Report (CCR) to understand what’s in drinking water. Investigates current issues and problems facing the water sector, as well as some of the potential solutions.

Introduces the complex and challenging public health issue of food security (sufficient, safe and nutritious food for all) in a world where approximately 850 million people are under-nourished while over 2 billion are overweight or obese. Explores the connections among diet, our food system, the environment and public health, considering factors such as equity, population pressure and the historical, economic and political forces that have helped shape food systems. Considers approaches to achieving both local and global food security. Explores the important role public health professionals can play. Guest lecturers include experts from a variety of disciplines and experiences.

Examines environmental and worker health by introducing and analyzing four real world problems; Explores how evidence-based interventions are designed and implemented; Emphasizes the role that social justice and environmental equity play in establishing effective public health interventions; Reviews how science, communication, and policy interweave in environmental and occupational health decision-making; Shows how environmental and occupational health leaders act to address and solve problems and prepares students to tackle and design solutions for contemporary problems in environmental and occupational health.

This course will introduce students to the major health security threats that face the US and other countries and the strategies, policies and organizations that are in place to defend against them. Throughout the course, we will make notes of areas where approaches to health security have evolved. We will also examine where important gains in health security preparedness have been made and identify areas in which progress is still needed. Given their particular challenges and frequency with which they occur, preparedness for and response to biological threats to health security will be a large focus of this class. Discussions of other health security threats and sharing of experiences from students are welcome.

Prepares students to examine the complex issues surrounding the security of advances in the biological sciences, and their impact on public health. Acquaints students with medical and public health options that may be possible as a result biotechnology advances—for example, to rid areas of malaria-carrying mosquitoes. Will also acquaint students with the difficult history of past bioweapons programs in the 20th century, and the continuing effect that history has on current biodefense and health security efforts. Introduces the concept of the dual-use dilemma—that is, how biotechnologies may have applications for good and harm—and explores how current biotechnology advances may be applied towards security aims, or could be misused. Topical issues in science and security policy, including genetically modified organism (GMO) controversies, will be explored, researched, and debated. Encourages application of critical thinking skills through class discussions and written assignments.

Introduces principles, concepts, and methods in community-driven environmental justice research. Presents current environmental justice research and future research needs. Offers practice opportunities for active involvement in problem-solving in environmental justice research. Provides students an opportunity to develop facility with analytic methods needed to conduct research into community environmental justice concerns.

Explores environmental justice through a historical, ethical and political lens with discussions on the impacts of environmental injustice on health disparities, particularly in low income and minority communities. Critical assessment of existing environmental justice approaches will be used to foster discussions and strategies for alleviating inequities in environmental exposure and disease at multiple levels and domains of public health. This course will highlight various approaches for public health officials, advocacy groups, health professionals, policymakers, and stakeholders to contribute to environmental justice, and guide students through integrating existing expertise into environmental justice solutions.

Prepares students to examine the complex history surrounding the 1918 influenza pandemic, the public health response at that time, and compare to preparedness, today. Acquaints students with the realities of mass vaccination and medical countermeasure development. Topical issues related to influenza preparedness will be discussed, including an examination of what happened in the 1977 reemergence of H1N1 influenza, gain of function influenza experiments and other controversial influenza research, and the effectiveness of non-pharmaceutical interventions. Encourages application of critical thinking skills through class discussions and written assignments.

Introduces the theory and practice of environmental and occupational health law. Examines the approaches and strategies that underlie federal (United States) and state environmental and occupational health laws and regulations. Focuses on the study of the most significant federal and state environmental and occupational health laws and regulations, such as the Clean Air Act, Occupational Safety and Health Act, Comprehensive Environmental Response, Compensation, and Liability Act, and workers’ compensation laws, with a particular emphasis on how they can be utilized as public health tools. Introduces students to the institutions and agencies that administer worker and environmental protection programs, and acquaint students with international treaties and laws aimed at protecting the environment and workers.

Focuses on the relationship amongst political instability, conflict, fragile settings and infectious disease, as well as the corresponding impacts on local and global populations. Reviews how a country’s national and foreign policy positions impact health systems and assesses the risk of infectious disease threats when nations become unstable due to factors such as internal state actors, man-made sources of instability, terrorism, and/or natural disaster and climate change. Focuses on discussions on why particular infectious diseases are prone to emergence or re-emergence during conflict and instability, and the impacts of those diseases on national systems and broader global health security. Gains a general understanding of recent global political conflicts and environmental threats, and how pathogens that were previously considered controllable now take their toll on a population, health system and/or governance structure.

Provides a broad understanding of the application of scientific concepts of biological and chemical warfare agents to inform evidence-based public health action and policy-making. Reviews the scientific principles and outcomes of threat agent use. Includes topics such as scientific and clinical aspects of threats agents, history of past use, and overarching policies to control their use. Examines the public health aspects of preparedness, including national development, use, and sharing of medical countermeasures. Explains principles of preparedness and response using case studies. Builds skills in crafting evidence-based public health policy options in preparing and responding to chemical and biological threats.

‘Introduction to Molecular Toxicology’ is a 3-credit online course that introduces toxicology at a molecular level. It is designed for students with minimal background in biology and toxicology. The course will review the molecular mechanisms of diseases associated with environmental exposures. The course will introduce the cellular signaling pathways involved in protection from effects of chronic exposure to environmental toxicants, including responses to stress and oxidative damage. The course will also review both genetic and epigenetic changes that are associated with disease pathogenesis. In addition, the course will present the most recent technological advances in the molecular tools available to study effects of environmental toxicants, including next generation sequencing, mass spectrometry, gene editing models and emerging alternative animal models.

Provides an anthropological viewpoint on extreme events including natural disasters, outbreaks, and technological accidents. Explores the human hand in, and experience of disasters - phenomena that influenced by the ways people imagine, build, organize, and value their communities. Critically examines the present trend of more frequent and more severe disasters, as well as chronic disparities in people's abilities to withstand and to recover from mass tragedy. Introduces theories of social vulnerability and community resilience to inform policies on how to reduce the chances for, as well as consequences of disasters.

Explores the science of risk communication and decision making. Discusses risk perception, communication guidance, and news media portrayal of risks. Reviews existing guidance on risk decision making. Presents previous and current public health emergencies as practice-based examples of risk communication and decision making. Examines public health emergency scenarios to prepare students for communication and decision making in their future work.

Explores the (sea)food system with a multi-disciplinary approach and real world examples. Examines the local-to-global connections in the most internationally traded food commodity, and why this matters for food and nutrition security, as well as environmental health. Discusses how the seafood sector can create sustainable aquatic food systems that work for businesses, fish workers, and consumers. Focuses on low- and middle-income countries where seafood is key for food and livelihoods.

Introduces students to human rights in general, health as a human right, impact of health policies, programs and practices on human rights, and collective impacts of human rights violations, whether gross violations in human conflict or insidious violations associated with mistreatment of individuals and marginalized groups.

Prepares students who work or plan to work with animal subjects in the laboratory. Explores how to comprehensively and adequately apply Refinement methods in practice. Focuses on current housing and husbandry standards and discusses the benefits of a ‘culture of care’ for animals. Examines current best approaches to the important experimental refinements, namely anesthesia, analgesia, pain assessment and management, health monitoring, and humane endpoints and killing methods. To further assess the quality of animal-based research, necessary refinements in planning, conduct, analysis and reporting practices of animal studies are reviewed. Presents potential barriers to the uptake and application of Refinement methods and how they are challenged.

Introduces students to the principles of bioethics when using animals in biomedical research and testing. Discusses the most common ethical theories such as contractarianism, Kantianism and utilitarianism. Addresses ethical issues arising from the use of animals in biomedical research and emphasizes on the role the three Rs of animal experimentation (Replacement, Reduction and Refinement) play when conducting animal experiments. Explores the harms involved in animal studies and assesses these against the benefits (harm-benefit analysis, HBA). The HBA is considered to be a key ethical safeguard for animals and, thus, is discussed in detail. Prepares students for real-world problems they may face in the laboratory.

Focuses on the foundational knowledge and methods and their application in environmental health and engineering needed by doctoral students to prepare for careers in environmental health. Frames how environmental contaminants originating from four environmental vectors, Air, Water, Soil and Food, impact human health.

Emphasizes the scientific basis of molecular epidemiology and provides examples of the application of molecular biology, analytical chemistry, and toxicology to the study of chronic disease etiology and its public health application, including examples in human cancer, cardiovascular, immunological, and neurological diseases. Also discusses methodological and study design problems.

Equips students with the skills to understand how to evaluate, assess, and design adaptation and mitigation strategies for global climate change impacts on public health. Features “real world” scenarios and case studies that are used to demonstrate the likely impacts of climate change on public health. Analyzes case studies and discusses how evidence-based science is deployed to combat the environmental health aspects of climate change. Gains a better understanding of the role that social justice and environmental equity play in the challenges that climate change brings. Emphasizes a systems-based approach, recognizing that climate change problem-solving methodology is multi-dimensional and multi-sectorial.

Provides an overview of how acute and chronic disasters affect food systems, describes actions to support food security, and discusses public health roles. Shares stories and insights from guest speakers at the cutting edge of policy, practice, and research, from community to global scale. Explores concepts of food systems, resilience, preparedness, and equity. Reviews strengths, limitations, and unintended consequences of responses. Discusses how systemic factors (e.g., poverty, racism, and unsustainable food systems) affect outcomes. Challenges students to explore diverse perspectives and constraints, build on assets, and envision responses for emergency needs and longer-term systemic change.

Provides a broad understanding of air pollution, it's sources, transport and exposure. Examines important atmospheric chemistry and measurement methods. Discusses the relationship between air pollution and health effects. Includes topics such as oxidant pollutants, sulfur dioxide and acid aerosols, particulates, bioaerosols, volatile organic compounds, and indoor air pollution. Also covers host susceptibility factors, the influence of global warming, and regulation and public policy.

Examines why energy policy choices are so important to human health and well-being. Explores how the impacts of energy exploration, generation, and usage patterns are tied directly to economic prosperity, the condition of the environment, the health of the population, and even aspects of national and international security, for developed as well as developing nations. Discusses and presents potential solutions to the three biggest energy challenges: (1) meeting the basic energy needs of the world s poorest people in a more healthful manner, (2) de-carbonizing electricity generation, and (3) reducing oil dependence. Emphasizes that energy is the core of the environment problem and environment is the core of the energy problem.

This course explores the potential for a changing climate to cause food and water shortages, forced migration, and conflict. Through a series of case studies of climate change-relevant crisis events around the world, we will examine the factors that led to the communities in question mustering resilience to survive and recover from the crisis vs. the factors that led to conflict. Through this analysis, we will identify a suite of resilience factors and strategies, such as community cohesion, ecosystem restoration, agricultural and water capture and storage, that could be built into policies to assist high risk areas in avoiding conflict.

Challenges students to look closely at the environment of Baltimore City's complex food systems, and to consider what it would take to improve these systems to assure access for all to nutritious, adequate, affordable food, ideally with reduced environmental harm. Students "go backstage" with tour guides at sites including a supermarket, a corner store, an emergency food distribution center, and a farm connected to the city school system. Students learn about the types of food available at these sites, who uses them, relevant aspects of their operations, and site-relevant key barriers to, and opportunities for, providing access to healthier and more sustainably produced food. Students also conduct oral history interviews about food with elderly city residents to understand how food access has changed over the years. Class sessions engage students to think critically, and provide background and frameworks for understanding the experiential sessions. Throughout, students consider the relative impacts of access, demand, and stakeholder interests, and consider the relative strengths and weaknesses of voluntary, regulatory (governmental), legal and other strategies. Lectures and discussions consider applicability of lessons gained from the study of Baltimore to other food systems. For their final papers, students identify a problem and its key determinants, and they propose/analyze an option to address it. Students think critically about selected aspects of the city's food systems and food environments, identifying challenges and opportunities for change and incorporating lessons learned from other food systems and programs. Students also discuss implications beyond Baltimore

Enables doctoral students to attain skills in writing successful scientific papers—that is, papers that are accepted by peer-reviewed journals. Confers skills in identifying and using online information sources. Informs participants on different publication options, including open source journals. Explains NIH requirements for notification and access. Through problem based learning and review of successful scientific papers, conveys the elements of successful scientific papers, including formats, data presentation, citations and acknowledgements. Demonstrates successful response to reviewer comments.

Enables doctoral students to attain skills in writing successful scientific papers—that is, papers that are accepted by peer-reviewed journals. Confers skills in identifying and using online information sources. Informs participants on different publication options, including open source journals. Explains NIH requirements for notification and access. Through problem based learning and review of successful scientific papers, conveys the elements of successful scientific papers, including formats, data presentation, citations and acknowledgements. Demonstrates successful response to reviewer comments.

Enables doctoral students to attain skills in writing successful funding proposals—that is, proposals that are likely to receive approval for funding. Introduces students to grant writing, funding sources, types of NIH grants, how to read an RFA, PA or other announcements, and develop a biosketch. Explores the requirements of a successful NIH style grant proposal.

Enables doctoral students to attain skills in writing successful funding proposals—that is, proposals that are likely to receive approval for funding. Introduces students to grant writing, funding sources, types of NIH grants, how to read an RFA, PA or other announcements, and develop a biosketch. Explores the requirements of a successful NIH style grant proposal.

Explores how humanity’s health is dependent on the flourishing of the natural environment. Examines how international law, policy, and governance respond to environmental disruption and global health consequences. Discusses treaties and frameworks responding to global change events, including pandemics, biodiversity loss, and climate change. Interrogates colonialism’s role in planetary ill-health and international law’s development. Explores pathways to respond to the inequitable distribution of health, economic, and social impacts and benefits from planetary health disruption.

Provides a link between the public health approach to injury prevention, the traditions of safety science and engineering, and their relationship with ergonomics and biomechanics. Covers topics including identifying the injury problem; using surveillance and record-keeping systems; preventing injuries by government, unions, health departments, and industry; and comparing safety sciences and a public health approach to injury prevention.

Provides an opportunity to actively conduct research in environmental health

Teaching Assistant (TA) for PhD students in Environmental Health and Engineering

Provides a forum for students to receive feedback on their research ideas and projects. Acquaints students with research of leading environmental health experts.

Examines health issues, scientific understanding of causes, and possible future approaches to control of the major environmental health problems in industrialized and developing countries. Topics include physical, chemical, and biological agents of environmental contamination; solid and hazardous waste; susceptible populations; biomarkers and risk analysis; the scientific basis for policy decisions; and emerging global environmental health problems

Provides a forum for students to present their current research project and receive feedback from faculty and students. Introduces students to research of leading environmental health experts.

Provides a forum for students to receive feedback on essay topics and outlines.

Provides the opportunity for the student to work with their adviser to formulate, research, finalize, and gain approval of the required essay.

Prepares the students to use techniques of exposure assessment to quantitatively estimate exposures in occupational and non-occupational settings. Students will be introduced to concepts of exposure variability and its implications for interpreting small exposure data sets. Students will apply advanced techniques such as mathematical modeling of exposures using exposure determinant information, analysis of variance for between- and within-subject variability, Monte Carlo analysis of uncertainty, Bayesian decision analysis using small data sets, exposure assessment strategies in occupational settings. Students will analyze case studies to assess exposures in real-life scenarios using multiple methods. Students will critically evaluate key scientific papers on exposure assessment strategies.

Provides the knowledge and skill to perform air sampling for occupational and environmental air pollutants. Focuses on how to analyze and present results. Discusses calibration, passive and active sampling, gases and vapors, particulate matter (PM), size-selective sampling; special methods for PM sampling (i.e. fibers, bioaerosols), and direct reading instruments. Addresses concepts of limit of detection, exposure assessment, standards and guidelines, and significant figures.

Describes the basics of airborne particles. Explores properties of gases, particle motion, size statistics, Brownian motion and diffusion, curvilinear motion of particles, particle deposition and clearance in the human respiratory system, filtration, aerosol samplers, and sampling methodology, optical properties and electrical properties of aerosols.

Prepares students to use techniques of exposure assessment in aid of epidemiological studies. Introduces students to core concepts including exposure variability and its implications for reconstructing historical exposures; sparse data and measurement errors; the exposure data matrix; methods for imputation of missing values; the relationship between exposure and tissue concentrations; the choice of exposure metric; and exposure-response relationships. Examines advanced techniques for imputing missing data while reconstructing exposures. Demonstrates the application of mathematical models of exposure using exposure determinant information and Bayesian methods. Considers exposure windows and exposure lagging. Focuses on using biologic models of how disease develops in response to exposure. Students critically evaluate exposure assessment strategies in selected epidemiological studies from the peer-reviewed literature.

Introduces the fundamental principles of ergonomics, including terminology, concepts, and applications of physiology, anthropometry, biomechanics, psychology, and engineering to work place and work methods design. Emphasizes the complex relationships among workers, job demands, work place designs, and work methods. Prepares students for advanced study in safety science, industrial hygiene, injury prevention, industrial engineering, and safety and health management.

Covers the principles of industrial ventilation and engineering controls for airborne hazards. Provides competency in general ventilation and industrial ventilation design.

Examines modern Lean management methodology and how it can be leveraged to design and implement an effective health, safety, and environmental (HSE) management system in an organization. Dtresses Lean management methods and tools and how they impact organizational structure, SHE planning, risk assessment, training, and continuous HSE improvement.

Introduces major environmental health problems in the tropical areas of the world and discusses some solutions in detail. Covers engineering, human behavior, and public health approaches to providing potable water and sanitation including simple water supplies, sanitary latrines, the relationship of water supply and sanitation to diarrheal diseases, disaster sanitation, and techniques for disinfection. Demonstrates field treatment of water supplies and water microbiology. Each student develops a case study drawn from current events and designs a field project for an environmental control measure to reduce disease in a community. In addition, students develop a short (4-6 page) mock grant proposal designed to implement an integrated water and sanitation hygiene intervention of their choosing drawing on the lessons learned during this course.

Introduces the organizational framework in which safety sciences are practiced in the U.S. Illustrates professional and scientific methodologies by focusing on selected, substantive areas of practice (systems safety, nature of accidents, electrical hazards, fire and fire suppression, explosions and explosives, and falls and walking and working surfaces).

Focuses on a mentored, hands-on practical public health experience, which involves meaningful participation and interaction with public health professionals.

Prepares students to identify and research the central issues in environmental health.

Students work with their adviser to formulate, research, finalize, and gain approval of their master’s essay, which is based on a required Independent Professional Project (IPP). Students write the essay as a professional report summarizing the findings of the IPP. This represents a substantive application of professional technical skills through the process of collecting and summarizing data and reviewing appropriate literature.

Presents seminars by faculty, students and invited speakers dealing with occupational and environmental hygiene professional practice and research. Provides examples of various occupational/environmental settings and associated worker hazards. Serves to integrate various courses taken as part of the online master’s in OEH program and to familiarize students with state-of-the art professional practice procedures and guidelines. Provides a venue for master’s students to present their final essays.

Encompasses the integration of a variety of organ systems. Invites leading scientists from different fields of physiology to offer exceptional and up-to-date lectures that quickly move through the basic mechanistic principles. Applies basic mechanistic principles of each organ system to current public health issues and environmentally relevant topics.

Provides an opportunity to actively conduct research in environmental health

Provides a forum for students to receive feedback on research ideas and projects. ScM students enroll in this course prior to passing the written comprehensive exam.

Offers an opportunity for postdoctoral students to conduct research and write papers for publication.

Students will learn and apply tools and principles of One Health, which is the interface of human health, animal health and environmental health, to promote and evaluate healthy and sustainable communities. Classes will cover methods central to the conduct of One Health research or programs, which includes study design, stakeholder participation, community engagement and program evaluation, and will cover topics of high relevance to One Health in a way that uses systems approaches and synthesis to join perspectives from the multiple disciplines. These topics include drivers—such as the food system and antimicrobial resistance—that can contribute to or detract from the health and sustainability of communities. Methods will be presented in the context of applications such as policy, regulation, and economics and will connect One Health techniques for knowledge integration and other approaches to the design of healthy communities.

Addresses global and domestic health challenges through a One Health lens, including practice-based approaches increasingly adopted by government agencies, non-governmental organizations and the tripartite (WHO, OIE, FAO). Engages experts in the field to discuss emerging topics and application of One Health approaches. Explores wide-ranging topics that include zoonotic infectious diseases, health security, preparedness, disaster response, climate change, planetary health, food systems, sustainability, chemical exposures, occupational health, health communication, and policy.

Provides a forum for students and multiple faculty to keep up-to-date on the latest environmental health research and get feedback on their research ideas and projects. Emphasizes active participation in discussions of the peer-reviewed literature, the most up-to-date research, and the process of research development.

Provides a forum for students to engage with multiple faculty to discuss current topics in health security and global catastrophic biological risks. Emphasizes active participation in discussions related to peer-reviewed publications, as well as trends in research and policy, and offers an environment to contemplate and receive feedback on research development.

Provides a forum for students and faculty to keep up to date on the latest ESRH research, with a particular emphasis on research designs and methods. Emphasizes active participation in discussions of peer-reviewed literature, the most up-to-date research, and the process of research development.

Provides an opportunity for students and postdoctoral fellows to present scientific papers from the current literature dealing with mechanisms underlying environmental diseases and the methodologies used to study them. Papers are organized around specific themes selected by the course instructors.

Provides a platform for students, postdoctoral fellows and faculty to present and discuss impactful scientific papers from the current literature that deal with mechanisms underlying environmental disease along with accompanying methods. Explores additional aspects that are relevant to conducting and conveying laboratory research, including study design and statistical analysis, manuscript and grant review, policy and practice, and risk assessment. Outside speakers will also be invited to present on a topic relevant to advanced concepts.

Provides students with the opportunity to work on a public health practice project on a chosen public health problem that simulates a professional practice experience.

The MPH Practicum is a mentored, hands-on practical public health experience, which involves meaningful participation and interaction with public health professionals.

Examines basic concepts of toxicology as they apply to the effects of environmental agents present in air, water and food (e.g. chemicals, metals) on public health. Discusses the distribution, cellular uptake, metabolism, and elimination of toxic agents, as well as the fundamental principles governing the interaction of foreign chemicals with biological systems. Considers how population data on disease incidence (various cancers, lung, kidney, heart, etc.) can suggest possible etiologies and how genetic and epigenetic factors can influence risk for adverse health effects. Focuses on the application of hoe these concepts provide evidence relevant to the understanding and prevention of morbidity and mortality resulting from environmental exposures to toxic substances through presentation of case studies.

Imparts fundamental knowledge about basic and applied (bio)medical research. Explores the main shortcomings of animal use in science. Discusses how to fully apply the 3R principles, and how to properly conduct experiments. Prepares students to critically appraise the validity of animal and non-animal models and methods in order to choose the best means for particular research interests.

Reviews the mechanisms by which environmental toxicants cause chronic diseases such as cancer, COPD, asthma and heart diseases that impact public health. Topics include cell signaling pathways involved in oxidative and nitrosative stress, the microbiome, cell growth, cell death, DNA repair, inflammation and carcinogenesis in response to exposure to air pollutants, metals and other environmental toxicants. Presents most recent technological advances in the molecular and genetic tools available to study how environmental toxicants cause diseases, which includes omics technologies (genomics, proteomics and metabolomics), next-generation sequencing for gene expression and genetic variations, transgenic animals and emerging alternative animal models.

Presents the concept of the genetic and epigenetic data analysis in environmental health studies. Introduces not only single gene analysis but also genome-wide data searching. Also introduces cutting-edge analytical tools for ‘omic’ data not limited to genomics, but also for epigenomics, proteomics and metabolomics. Provides an introduction to the pathway analysis for ‘omic’ data.

Emphasizes the analytical methods for genomic and epigenomic data analysis. Presents step-by-step instructions for searching and extracting databases and performing pathway analyses on existing genomic and/or epigenomic data. Acquaints students with ‘omic’ data analysis by participating group project that aims for proving the principle or generating new hypothesis for a selected research topic.

Provides students with fundamental knowledge of the emerging science driving new strategies for human risk assessment. Includes topics: toxicokinetics, xenobiotic activation and inactivation, systems biology, and databases for toxicity testing. Presents case studies that have used different data bases for toxicity testing. Offers hands-on experiences using the databases and other Web-based applications.

Familiarizes students with the novel concepts being used to revamp regulatory toxicology in response to a breakthrough National Research Council Report “Toxicity Texting in the 21st Century: A Vision and a Strategy.” Presents the latest developments in the toxicology field: moving away from animal testing toward human relevant, high content, high throughput integrative testing strategies. Active programs from EPA, NIH and the scientific community work-wide illustrate the dynamics of safety sciences.

Discusses and evaluates strategies for reducing the number of animals utilized in basic and applied research. Addresses traditional in vitro methods, including cell culture and analytical chemistry as well as newer and evolving techniques such as informatics, genomics, proteomics, and metabolomics. Also discusses governmental regulatory processes for approving new testing methods, especially in vitro methods.

Provides students with fundamental knowledge about EBT approaches currently in use (or in development) that integrate and utilize diverse sources of data. These approaches include meta-analysis and systematic reviews, as used in evidence-based medicine. Introduces, explains and expands upon techniques such as risk of bias, QA/QC, good laboratory practice and validation, and the role that these tools and techniques play in assuring maximum confidence in evidence-based approaches

Introduces selected important topics in occupational health through lectures, readings, and class discussion. Provides an overview of the field, providing a survey of the history of occupational health; analysis of case studies in the history of asbestos, coal workers pneumoconiosis, and uranium mining; identification of the burden of occupational injuries and diseases; application of the toxicologic paradigm to activities in occupational health; analysis of occupational health hazards; identify the association between social, behavioral, and organizational factors and health outcomes in the workplace; identification of legal, regulatory, and ethical issues; analysis and research in clinical and non-clinical emerging issues in occupational health; and an introduction to the concepts of occupational health in developing countries.

Lectures, discussions, and visits to various industrial sites present approaches to evaluating the industrial environment, including industrial process, hazards, organization, and management structure. Stresses the importance of interdisciplinary cooperation in the development of occupational health programs, with reference to the U.S. workplace in the next decade.

Addresses the role that the built environment plays in public health. Examines how building design, community planning and design, land use, and transportation networks contribute to energy use, water supply degradation, climate change, ecosystem degradation, and public health. Explores the contributions of suburban sprawl to adverse environmental and public health outcomes. Examines how the built environment could and must change if we are to stabilize the climate and move into a sustainable future.

Explores adverse impacts on human health from a wide range of environmental and occupational toxicants, using a variety of methods. Covers toxicant-related health effects by organ system and by selected chemical categories, including metals, pesticides, solvents, and asphyxiants. Discusses the use of biomarkers in clinical evaluations of exposed individuals and populations. Addresses prevention of adverse health effects in exposed populations and assessment of causal relations. Presents a wide range of information resources which are then utilized in course work. Utilizes case-based examples throughout the course.

Discusses the causes, consequences, and implications of key global environmental challenges that we are facing and that are likely to become more challenging over time. Addresses how land use (e.g., patterns of urban growth and suburban sprawl), energy use, food production and distribution, water use, and population growth are causing climate change, ecosystem degradation, biodiversity losses, species extinctions, and other resource depletion, and how all this is in turn is a threat to human health as individuals, in communities, and globally. Focuses on discussion and not lectures and will utilize a mix of movies, guest discussants, and student-directed discussions.

Discusses occupational safety and health program considerations for vulnerable populations, including all levels of prevention and using examples such as the health needs of women workers, shift workers, aging workers, workers' families, and workers with chronic diseases or impairments. Focuses on strategies for identifying and removing barriers that affect health and work performance, program development and management responsibilities, and cost issues related to selected preventive and rehabilitative programs. Presents relevant research findings on the ability of vulnerable populations to benefit from safe and healthy working lives.

Prepares students to identify and research the central issues in environmental health

Reviews the unique and advanced topics in toxicology and physiology. Presents students with guidelines for understanding the basic knowledge as well as the advanced methodology in toxicology and physiology. Prepares students to be able to identify the environmental health problems and present the critical reviews on the original peer-review papers in selected topics.

Teaches Stata programming in a systematic way to students who have had exposure to Stata or another statistical package, but may not have the tools to perform complex analytical projects independently. Covers data management, programming concepts, procedural programming, Stata-specific commands and constructs, and project workflow.

Introduces principles and methods of epidemiologic investigation of infectious and noninfectious diseases. Illustrates methods by which studies of the distribution and dynamic behavior of disease in a population can contribute to an understanding of etiologic factors, modes of transmission, and pathogenesis. Presents different types of study design, including randomized trials, case-control and cohort studies, risk estimation, and causal inferences. Demonstrates the relationship between epidemiology and the development of policy. Laboratory problems provide experience in epidemiologic methods and inferences, illustrating a common-vehicle epidemic; the spread of infectious disease in school, home, and community; epidemiological aspects of a noninfectious disease; vaccination; the epidemiological approach to health services evaluation; rates of morbidity and mortality; sensitivity and specificity; and life table methods.

Covers key principles, designs and methods of observational epidemiology studies. Includes a description of general designs of the main observational studies (birth cohort analysis, ecologic studies, cohort, case-based case-control studies, case-control studies within a defined cohort, and case-crossover studies), measures of disease frequency (cumulative incidence, rate and odds) and of association (relative risk, odds ratio), evaluation of confounding and interaction, types of bias, and the most often used methods of adjustment for confounding effects and their assumptions. Employs lectures and group discussions of exercise

Introduces concepts and applications of potential outcomes and structural causal models for the estimation of causal parameters in epidemiologic research. Familiarizes students with the assumptions underpinning modern causal inference methods and provides a conceptual understanding of standardization/g-computation  and inverse probability weighting. Applies each of these methods in estimating the effect of a time-fixed exposure in a simple setting. Discusses the application of these methods in the literature.

Introduces quantitative scientists to how “omics” can address public health questions. Reviews basic biology concepts for –omics with a focus on genomics, epigenomics, transcriptomics, and metabolomics. Presents commonly used –omic measurement methods and data preprocessing tools. Discusses challenges that may arise in data analysis due to data measurement issues as well as interpretation of results.

Presents basic methods in the qualitative and quantitative meta-analysis, including formulating a hypothesis that can be addressed via meta-analysis, methods for searching the literature, abstracting information, and synthesizing the evidence. Includes Bayesian and likelihood approaches to meta-analysis quantitative methods. Emphasizes essential steps of conducting systematic reviews through hands-on exercises. Focuses on analytical skills in performing meta-analyses and network meta-analyses.

Demonstrates a practical approach to big data: where to find it, how to store and analyze it, and why to use it. Provides a technical overview of the utilization of big data with the inclusion of several case examples and inclusion of industry leaders in the application of big data to health care.

Develops deeper understanding of the concepts and quantitative methods unique to infectious disease epidemiology. Builds upon the concepts and methods of general epidemiology and knowledge of specific infectious diseases. Topics include disease emergence, transmissibility and the basic reproductive number, transmission patterns and serial intervals, seasonality, virulence, heterogeneity in hosts and pathogens, herd immunity, diagnosis of infectious diseases, co-infections, and phylodynamics.

Introduces students to the One Health approach to public health research and practice, providing examples of how evidence shapes public health policy and health promotion, from the local to the global scale. Students will practice strategic thinking and decision making in translating evidence to behavior and policy and will have the opportunity to interact with guest speakers working in One Health fields.

Considers epidemiologic principles relevant to addressing the global burden of tuberculosis (TB). Examines diagnosis of TB infection and disease; risk factors; prevention by case-finding, treatment, vaccination, and preventive therapy; TB in children and during pregnancy, drug-resistant TB, cost-effectiveness and modeling; policy and advocacy; and post-TB sequelae. Offers lectures, group discussions, and review of the TB literature as the primary components.

Introduces clinical trial design in the context of epidemiological concepts, covers various topics in the design and conduct of clinical trials, and profiles clinical trials that illustrate these issues. Topics include the definition and history of clinical trials; trial designs, including phase III-IV, cross-over, factorial, and large, simple designs; internal and external validity; controls, randomization, and masking; ethical issues; introductions to data collection and management and analysis principles; monitoring of trials for safety and efficacy; and use of clinical trial data in healthcare decision-making.

Provides a basis for understanding how new analytic methods are relevant to epidemiologic research. Explores methods in "plain English" in order to focus on utility of the methods as well as how to interpret analyses as they are applied to research. Addresses the assumption of the methods and big picture pros and cons.

Introduces the population science of epidemiology, including methods and approaches to measurement and outcomes, study design and inference, risk estimation, and surveillance. Provides the essential elements of epidemiology as appropriate for public health scientists.

Introduces the key elements of pharmacoepidemiology. Explores the utilization and effects of drugs in large numbers of people and the application of epidemiological methods to pharmacological issues. Focuses on questions of drug safety and effectiveness, concentrating on clinical patient outcomes and on evaluating the use of therapies. Applies the research methods of clinical epidemiology (e.g., randomized trials, cohort studies, case-control studies, use of secondary data, attention to biases and confounding, effects of non-adherence, active and passive surveillance for adverse events) to study medication exposures and outcomes.

Presents lectures and interactive sessions designed to expose students to basic principles of clinical epidemiology and introduce key methods utilized in clinical outcomes research. Focuses on principles and methods in clinical epidemiology which would be most utilized by clinicians/clinician researchers for screening and diagnosis of illness as well as for prognostication and decision-making. Introduces methods and issues in studying clinical epidemiology in health care settings (e.g. administrative data).

Emphasizes the role of epidemiology in cancer prevention and control. Compares and contrasts the descriptive epidemiology, natural history, and pathologic and biologic characteristics of selected common cancers, as well as factors related to their etiology. Discusses the influence of environmental and genetic factors and their interplay on the development of cancer together with the epidemiologic issues involved in their investigation. Provides overview of problems involved in cancer prevention and screening.

Introduces the basic methods for infectious disease epidemiology and case studies of important disease syndromes and entities. Includes definitions and nomenclature, outbreak investigations, disease surveillance, case-control studies, cohort studies, laboratory diagnosis, molecular epidemiology, dynamics of transmission, and assessment of vaccine field effectiveness. Focuses case studies on acute respiratory infections, diarrheal diseases, hepatitis, HIV, tuberculosis, sexually transmitted diseases, malaria, and other vector-borne diseases.

Introduces constructs of sexual orientation and gender identity in the context of public health. Explores historical, epidemiological, and social perspectives related to the physical and mental health of lesbian, gay, bisexual, transgender and queer (LGBTQ) individuals and communities. Orients students to current and historic epidemiological and contextual issues that shape what is known about LGBTQ health, presents an overview of LGBTQ health disparities and interventions, and develops a foundation for critical thinking about LGBTQ health research and intervention potential.

Provides a systematic and selective overview of conceptual approaches and research findings related to the impact of social context and social phenomena on health. Sessions highlight a different area of frontier social epidemiology research. Social processes examined include 1) social inequalities (including social class differences as well as the effects of income inequality), 2) social networks, 3) neighborhood and urban characteristics, 4) gender inequalities and 5) macro-social changes. Discusses global health approaches to social determinants of health including research experiences from different parts of the world. Includes discussion of methods related to the study of social epidemiology; however, this is not intended to be a methods course. Includes limited lecture matter and thorough group discussions on selected classic papers and latest readings.

Acquaints students with important principles of the acquisition, management, and distribution of data in the clinical research environment. Focuses on real-world needs of investigators and emphasizes those issues that researchers need to understand to work effectively with other members of study teams, including coordinators, data entry staff, programmers, and data managers. Covers topics that apply to many studies, and discusses approaches ranging from small single-investigator trials using only a spreadsheet through international networks using sophisticated web-based data management systems, although does not focus on any particular type or size of study. Discusses the benefits and costs of alternatives rather than recommending particular courses of actions. Combines practical and hands-on exercises with advanced treatment of important concepts, although it does not focus on computer programming.

Focus on how scientific evidence in general and epidemiologic studies in particular are used to inform health and regulatory policies. Reviews the role of scientists and epidemiologists in translating evidence to practice and policy; examines how science fares in the legislative, regulatory, and judicial settings; addresses methodological issues related to types and availability of evidence to guide policy. Topics include nutrition recommendations (e.g. population-wide sodium intake), environmental policies; opioid epidemic (e.g. safe injection sites); tobacco control and e-cigarettes; health disparity (e.g., racial disparities in kidney transplantation); diabetes prevention; legal and policy implications of class action lawsuits (e.g., gun policy and local food policy); COVID-19 (e.g., evidence-informed policy making during a pandemic); and modelling to guide policy. Guest faculty, experts in their field, present examples, discuss their experiences using evidence to guide policy.

Presents lectures and group discussions on the pathology, clinical manifestations, epidemiology, treatment, and control of the major blinding diseases, including diabetic retinopathy, cataract, glaucoma, trachoma, and age-related macular degeneration, as well as refractive error and ocular complications of Ebola and Zika.

Introduces key steps for bioinformatic analysis of microbiome data from preparing the data for analysis to visualizing the results. Provides a foundation in ecological concepts including alpha and beta diversity. Explains different methods for finding microbes that differ between environments. Prepares students to plan their own analyses and interpret the results using lectures and hands-on data interpretation exercises.

Describes the epidemiology and prevention of diabetes, obesity, and associated complications. Discusses methodological issues associated with evaluating these in epidemiologic studies. Designed to cover the global epidemics of diabetes and obesity, environmental and genetic risk factors, as well as interventions to improve diabetes outcomes and weight management. Includes lectures from several expert faculty members in the School of Public Health and the School of Medicine

Introduces clinical trial design in the context of epidemiological concepts, covers various topics in the design and conduct of clinical trials, and profiles clinical trials that illustrate these issues. Topics include the definition and history of clinical trials; trial designs, including phase I-IV, cross-over, factorial, and large, simple designs; internal and external validity; controls, randomization, and masking; ethical issues; data analysis principles; monitoring of accumulating safety and efficacy data; and use of data from randomized trials.

Provides an overview of methods related to the day-to-day conduct of multicenter randomized clinical trials with an emphasis on the Coordinating Center perspective. Using case studies of multicenter clinical trials for illustration, emphasizes topics related to practical applications such as organizational models, use of standardization, and performance monitoring. Discussion of methods is encouraged, including alternatives to usual practice.

Explores the factors promoting the emergence of new infectious diseases and the re-emergence of some of the more traditional infections. Evaluates agent, host, environmental and ecological factors in the emergence of infectious diseases. Presents methods of surveillance and early recognition of several important emerging infections. Includes discussions from lecturers with considerable experience in the investigation of specific emerging infections on the issues specific to emerging infections. Presents and discusses a paper describing an investigation of an Emerging Infection following each one-hour lecture. Presents, describes, and analyzes the factors related to the emergence of infectious diseases, new and old, that have emerged as important public health problems, or which have the potential for major epidemic spread. Explains possible methods for the rapid recognition, prevention, and control.

Expands on the concepts presented in Introduction to Clinical Trials (340.645) and Clinical Trials: Procedures, Design, and Interpretation of Results (340.861) by elaborating on clinical trial analytical considerations and design options in both the regulatory, clinical, and public health context. Details design considerations, budgeting and recruitment strategies, communication of clinical trial results, and reporting responsibilities. Navigates the financial and administrative aspects of trial planning, creates a comprehensive recruitment strategy, applies necessary trial components and considerations for regulatory submissions, describes the roles and responsibilities of a data/clinical coordinating center, and communicates and interprets the results of a trial.

Develops skills in the critical reading of epidemiologic reports. Reviews key epidemiologic concepts and methods including bias, confounding and interaction. Identifies the key issues and common mistakes in the preparation of epidemiologic reports of empirical research.

Presents applications of social epidemiologic concepts, introduced through weekly online lectures and readings, and the use of discussions and case studies. Prepares students to understand and appreciate the contribution of social factors to disease etiology, course, and the distribution of states of health in populations. Reviews the conceptual and theoretical underpinnings of social epidemiology from an historical perspective. Focuses on the scientific findings in the field from the 1970's until today; the influence of social context on behavior is well known and forms the backbone for most health promotion interventions. Delineates how the social environment influences behavior by shaping norms, reinforcing social control, providing environmental opportunity, and coping strategies.

Introduces innovative methods, practical tools, and skills required to conduct evidence-based research that addresses the social determinants of health disparities. Draws on theoretical frameworks on fundamental values and principles, including social justice, human rights, the value of diverse ideas and stakeholder perspectives, inclusiveness, trustworthiness, behavioral and implementation science, and community-based participatory design. Uses lectures, panel discussions, and case-based examples to provide opportunities in obtaining feedback on ideas from experienced investigators.

Introduces students to a general framework for the assessment of comparative effectiveness and safety research. The framework, which can be applied to both observational data and randomized trials with imperfect adherence to the protocol, relies on the specification of a (hypothetical) target trial. Explores key challenges for comparative effectiveness research and critically reviews methods proposed to overcome those challenges. The methods are presented in the context of several case studies for cancer, cardiovascular, renal, and infectious diseases.

Presents Bayesian adaptive designs and teaches students the skills and considerations necessary to construct such designs. Examines the operating characteristics of Bayesian adaptive designs and the benefits and costs of interim analyses, in particular within the regulatory framework.

Focuses on the dynamic processes that affect the spread of infectious disease. Presents basic conceptual approaches and a survey of specific theoretical and computational methods for simulating the spread of diseases. Specific topics include the effect of population heterogeneity on transmission, simulation of the impacts of interventions, social networks and the links between transmission dynamics and the evolution of pathogens. Particular methods include mathematical models, spatial-temporal analysis of epidemics, social network theory, genetic algorithms, individual based models and other tools of systems epidemiology. Concepts and methods are applied to historical epidemics, current emerging diseases and diseases of international public health importance.

Studies global tobacco control methods in depth. Focuses on designing, implementing, and evaluating tobacco control interventions based on the need of a specific region or country. Highlights the use of multi-level solutions linking policy, communication, prevention, education, regulation, advocacy, and community organizing to address the interdisciplinary problem of tobacco use. Examines the aspects of tobacco use and tobacco control through lectures, case studies, presentations, and discussion.Upon successfully completing this course, students should be able to: • Perform a situational assessment of the tobacco control environment in a particular country including the health and economic burden of tobacco use in the country; • List criteria that can be used to determine the tobacco control priorities of a country, and evaluate the strengths and weaknesses of different criteria for setting tobacco control priorities; • Evaluate the strengths and weaknesses of various strategies to reduce tobacco use; •Select and define appropriate indicators for evaluating progress in implementing a tobacco control intervention; •Utilize acquired methods to plan, implement, evaluate, and lead a tobacco control interventions based on the need of a specific region or country; •Utilize acquired methods to formulate grant applications.

Introduces the key health effects of environmental and occupational exposures and the epidemiologic methods used to identify and estimate those effects. Emphasizes the interplay of methodological issues, including the assessment of environmental exposures and the understanding of specific disease processes in identifying the health impact of environmental exposures in the population. Learns about environmental and occupational exposures (including water and air pollution, food contamination, ionizing radiation, persistent environmental pollutants and emergent environmental exposures) and key methodological issues relevant for these exposures in population studies (including study design, exposure assessment and biomonitoring, disease clusters, dose-response relationships, susceptibility, geographic analysis, and evidence synthesis).

Introduces the key elements of pharmacoepidemiology. Explores the utilization and effects of drugs in large numbers of people. Discusses the application of epidemiological methods to pharmacological issues. Focuses heavily on questions of drug safety and effectiveness, concentrating on clinical patient outcomes and on evaluating the use of therapies. Applies the research methods of clinical epidemiology (e.g., randomized trials, cohort studies, case-control studies, use of secondary data, attention to biases and confounding) to the content area of pharmacology (e.g., determinants of beneficial and adverse drug effects, effects of patient heterogeneity on drug effect, effects of non-adherence, active and passive surveillance for adverse events).

Presents human rights as both a tool and an analytical framework for public health practice. Considers how concepts and values from human rights can enhance the work of public health professionals in a variety of realms. This includes the development of policy in public health, the design and implementation of programs, and identification of human rights obstacles to achieving public health goals and potential responses. Examines the relationship between traditional bioethics and human rights approaches to ethical questions and will conclude with discussions and controversies about the roles of public health professionals in advocacy.

Provides an overview of drug classification systems as well as a review of data sources used for drug utilization research. Reviews methods of investigating drug utilization and evaluating interventions to modify utilization, such as time-series designs and segmented regression analyses. Discusses varied patient, provider, practice and system-level determinants of prescription drug utilization, including their impact on costs and quality of care. Emphasizes the impact of drug formularies, marketing and promotion of drugs, health insurance exchanges, and emerging evidence of benefits and harms.

Reviews methods used by those performing systematic reviews and meta-analysis, including building a team, formulating a research question and hypothesis, methods for searching the literature, abstracting information, and synthesizing the evidence both qualitatively and quantitatively. Covers how to formulate an answerable research question, defining inclusion and exclusion criteria, searching for the evidence, data extraction, assessing the risk of bias in the underlying studies, qualitative synthesis, meta-analysis, sensitivity analysis, and assessing meta-bias. Acquaints students with a few practicalities of conducting a systematic review using hands-on exercises.

Studies kidney disease comprehensively, emphasizing chronic and end-stage kidney disease, since kidney disease is characterized as an epidemic worldwide, and the prevalence continues to rise. Highlights controversies and areas of ongoing and future research by reviewing findings from cohort studies, clinical trials, and landmark studies. Emphasizes methodological issues specific to the study of kidney disease.

Introduces biologic, epidemiologic and clinical aspects of aging-related declines in the auditory system. Demonstrates methods of assessment of auditory function for epidemiologic studies. Reviews current epidemiologic knowledge of sensory function and aging-related outcomes in older adults, including the epidemiology and consequences of dual sensory loss. Presents areas for future research and opportunities for intervention and prevention

Explores the public health implications of mass incarceration and discusses the human rights and ethical ramifications of providing health care to men, women, and children in jails, prisons, and detention centers both in the United States and internationally. Takes a systems approach to addressing the basic health needs of the prison population, including infection control, care for acute and chronic medical conditions, and mental health care. Students apply problem-solving skills and explore the challenges of providing care in incarcerated settings. Emphasizes the roles of human rights principles and professional ethics in public health.

Learns how to detect, investigate, and interpret disease outbreaks. Focuses on application of epidemiological skills to develop hypotheses relevant to understanding source or reservoirs of infection, modes of spread and possible control measures. Includes simple epidemiological approaches for examining field data on outbreaks and deriving inferences. Reviews the main factors involved in the occurrence of an outbreak and steps in investigating an epidemic. Uses data from large and small epidemics to illustrate the main concepts and terminology.

Systematically introduces students to sample size and power analysis for the most common epidemiological study designs. Provides participants with the key conceptual elements and practical tools for computing sample sizes to achieve a given level of precision and power in statistical tests.

Examines the use of Geographic Information System (GIS) software (ArcGIS Pro) as a tool for integrating, manipulating, and displaying public health-related spatial data. Covers mapping, geocoding, and manipulations related to data structures and topology. Introduces the spatial science paradigm: Spatial Data, GIS, and Spatial Statistics. Uses selected case studies to demonstrate concepts along this paradigm. Focuses on using GIS to generate and refine hypotheses about public health-related spatial data in preparation for a formal statistical analysis. Discusses topics related to spatial statistical modeling throughout (although not a required part of the curriculum). Includes both lecture and lab formats with GIS concepts and software-specific details demonstrated during the lab portions.

Examines technologies for collecting, obtaining and creating spatial data. Technologies considered include, but are not limited to GPS, tablets, tracking devices, cell phones, Google Earth, remote sensing applications, and the Internet. Introduces software applications such as ArcGIS, QGIS, and R for integrating spatial data from the aforementioned technologies into useable forms for spatial analysis. Also covers metadata, data accuracy, and confidentiality/disclosure issues.

Discusses emergent health issues and how the choice of measures for power, privilege, and inequality influence results in epidemiological research. Challenges you to reflect on how your own positions of privilege influence your interpretation of data and your public health practice. Provides an opportunity to apply epidemiology research skills to develop and execute a data-driven project on a real-world health problem that can will be presented and used by a community partner.

Introduces biologic, epidemiologic and clinical aspects of aging-related declines in the auditory, visual, and vestibular systems. Demonstrates methods of assessment of sensory function for epidemiologic studies. Reviews current epidemiologic knowledge of sensory function and aging-related outcomes in older adults, including the epidemiology and consequences of dual sensory loss. Presents areas for future research and opportunities for intervention and prevention.

Presents advanced topics in Stata Programming to expand upon the material in 340.600. Topics include simulations, advanced programming, file manipulation, and code optimization.

Examines disability and disability health within the context of public health research and policy to advance equity and social justice. Discusses the origins and current landscape of disability health research from the perspectives of key stakeholders, inclusive of researchers, advocates, policy makers, with a focus on including the perspectives of people with disability.

Presents the methodologic and logistic problems involved in designing and conducting epidemiologic studies. Students participate in the preparation of a research protocol for a study in a human population. Offers an opportunity to critically evaluate the adequacy and scientific merit of research protocols, develop an appreciation of the ethical aspects of conducting research involving human subjects, and apply methods and principles learned in earlier (340.751 - 753) and current courses to specific epidemiologic problems.

Digs into how to conceptualize implementation science questions, define implementation outcomes, and leverage frameworks and designs to achieve public health impact.

Exposes students to the practical aspects of health survey research methods. Emphasizes the development of skills to design and administer a survey. Introduces formative research, sampling methods, questionnaire development, recruitment techniques, interviewer training, and quality assurance/quality control.

Introduces principles and methods of epidemiologic investigation of disease and other health states. Presents different types of study designs, including randomized trials, cohort and case-control studies; measurement of exposures and outcomes; risk estimation; surveillance; program evaluation; and causal inference. Discusses evaluation measures for screening programs and health interventions. Links epidemiologic inferences with the development of policy. Activities provide experience in applying epidemiologic methods, interpreting findings, and drawing inferences.

Expands knowledge beyond introductory level epidemiologic concepts and methods material, using examples from the published literature. Emphasizes interpretation and the ability to critically evaluate issues related to populations/study design, measurement, population comparisons and inference, including: modern cohort study designs; advanced nested designs; novel techniques for exposure assessment; interpretation and utility of measures of impact; sources of bias and methods for their prevention; descriptive and analytical goals for observational study inference; the counterfactual model for defining exchangeability, cause, and confounding; and synthesis of inferences from observational studies.

Introduces quantitative epidemiologic techniques applied by both academics and public health professionals to analyze and interpret routinely collected at the subpopulation level to target and address health inequities. Four modules include instruction in Stata and R, with topics including:1. Weighted Survey Analysis: Analytic techniques for the incorporation of weights in the analysis of survey data to make inferences about the target population.2. Calculating Life Expectancy: Calculation of single-decrement life tables using statistical programs as well as publically available Excel-based tools.3. Estimate Preventable Deaths: Econometric techniques for estimating preventable deaths and potential lives saved from risk factor modification.4. Conceptual Frameworks in Epidemiology: Apply graph theory to understand the relationships between variables in commonly-used causal frameworks. Understand the importance of using conceptual frameworks in guiding epidemiologic inquiry.

Examines the causes, incidence, and trends in cancer globally, with a perspective on the differences across settings. Provides an epidemiological foundation for understanding cancer statistics and engaging in international cancer research and control activities. Covers key concepts such as study designs for cancer epidemiology and interventions, use and meaning of common cancer statistics, levels of prevention, and cancer screening/use of diagnostic tests.

Reviews essential concepts and methods of translational research. Emphasizes developing skills in the interpretation and application of reports of findings of translational research. Includes topics such as hypotheses and study design, types of data, statistical analyses, and evidence synthesis methods.

Considers the use of observational data, including real-world program data, natural experiments and designs for interventions which cannot be ethically or practically randomized and experimental designs, focused on implementation and real-world effectiveness. Analyzes preference-based research methods, which can be observational or experimental, highlighting the importance of human-centered approaches.

Exposes students to the practical aspects of health survey research by emphasizing the development of skills to design and administer a survey questionnaire. Introduces students to formative research, questionnaire development, interviewer training, and quality assurance/quality control.

Explores advanced methods useful for the design and analysis of cohort studies. Emphasizes methods for analyzing time-to-event data subject to staggered entries using advanced parametric and semi-parametric methods; analytical methods for incomplete observations in cohort studies; methods to measure effects of exposures on time-to-event using relative times and relative hazards; parametric survival analysis methods and taxonomy of hazard functions; coefficients of determination based on parametric models for survival data; regression methods for trajectories of biomarkers; methods for the analysis of interventions in observational studies: confounding by indication, marginal structural models for individual effectiveness; methods for estimating population effectiveness; and methods to jointly analyze longitudinal and survival data.

Introduces the purpose and application of national health surveys, and the strengths and limitations of this type of data. Uses publicly available survey data collected by the Centers for Disease Control and Prevention’s (CDC) National Center for Health Statistics (NCHS), including data from the National Health Interview Survey (NHIS) and National Health and Nutrition Examination Survey (NHANES) to provide practical experience in accessing the data files, designing and executing basic analysis using complex survey data and determining when and how to appropriately conduct age adjustment and trend analysis. While the class utilizes U.S.-based examples, the principles and methods covered are applicable to other settings.

Familiarizes students with techniques used to detect and quantify the presence of clinical cardiovascular disease. Tour the hospital, and the dialysis, angiography, echocardiography, and vascular laboratories. Observe radiographic (CT and MRI) imaging of atherosclerosis and review gross and histological specimens of atherosclerosis in the pathology laboratory. Directly observe various cardiac imaging techniques performed including 1) cardiac echocardiography, 2) coronary or peripheral angiography, 3) coronary calcium scores and coronary CT angiography using multi-detector CT, 4) carotid and peripheral vascular studies using ultrasound, 5) the clinical assessment of blood pressure, and 6) DXA and anthropometric measures of body composition.

Second offering in a three-part series of graduate courses in Genetic Epidemiology. Details the concepts of linkage disequilibrium and population genetics, including methods for admixture analysis useful for adjusting for individual variation in genetic ancestry/background. Presents the principles of genetic association analyses for quantitative and qualitative phenotypes for population-based studies. Details the concepts and tools related to confounding due to population stratification, and approaches for genome-wide association studies. Introduces methods for linkage analysis in families and use of high-throughput sequence data (whole exome and whole genome). Selected class sessions are dedicated to computer labs to illustrate the methods covered.

Concepts behind linkage and association studies in genome-wide studies, and demonstrates how they can be applied to complex qualitative and quantitative phenotypes (i.e. those where both genetic and environmental factors influence the phenotype). Introduces the principles underlying family-based and population-based study designs and analytical methods for both marker panels and sequencing data (whole exome and whole genome).

Discusses advanced topics in genetic epidemiology methods. Builds on the knowledge gained in Principles of Genetic Epidemiology 1-3. Students discuss the details of the methods they have learned, and are also exposed to cutting-edge topics not yet in the mainstream. Also covers emerging topics such as CNV analysis, epigenetic analysis, sequencing analysis, and admixture mapping. Students also carry out an independent analysis project through the term.

Focuses on lectures related to applied epidemiology career paths, epidemiological problem-solving, and decision-making frameworks. Guides students in the development of an ‘Epidemiology to Action Portfolio’ that leverages applied epidemiology skills to address specific health topics of concern. Produces data briefs, stakeholder and advocacy one-pagers, data dashboards as well as testimony outlines for presentation. Utilizes guides and checklists to support the application of learned skills once students transition into the public health workforce.

Focuses on directed readings and discussion on the science and pathogenesis of HIV/AIDS. Covers dynamics of the HIV epidemic in the populated world, difficulties and contrasts between clinical management of HIV/AIDS in developed and developing countries, prevention and control modalities against HIV/AIDS, and predicting patterns of future growth of the HIV/AIDS epidemic with special reference to global economic impact of HIV vaccine and eradication issues of HIV/AIDS.

Presents as the first course in the Epidemiologic Methods sequence. Introduces students to the principles and concepts used in epidemiologic research. Presents material in the context of an epidemiological framework with three major areas: populations and an introduction to study designs; measurement, including measures of accuracy and disease occurrence; and methods used for comparing populations. Illustrates synthesis lectures on how these elements come together in modern epidemiological research. Provides experience using laboratory exercises and assignments with applying concepts and calculations to problems drawn from real epidemiological data and published literature.

Second offering in the Epidemiologic Methods sequence. Builds on the concepts of epidemiologic reasoning, population health measures, validity, and study design taught in Epidemiologic Methods 1. Provides a detailed presentation of causal inference, study design and threats to validity (confounding, information bias and selection bias). Discusses a wide range of epidemiologic designs in detail, together with their advantages and limitations. Laboratory exercises, assignments, and the MiniProject provide experience with applying concepts and calculations to problems drawn from real epidemiological data and published literature.

Offers guided experience for the MHS in Analytic Epidemiology to create a scholarly product that synthesizes/integrates existing knowledge important for improving public health. Utilizes a team approach to develop a substantive research question, determine appropriate analytical methods, conduct analyses, and present research via a poster presentation. Selects data from several datasets that will be made available for this course. Teaches and applies the research process, including formulating a research question, selecting an appropriate analytical method and covariates, conducting the data analysis, and writing a scholarly research paper.

Introduces epidemiologic methods to doctoral students in the department of epidemiology (first in a four-term sequence). Delves into the role of epidemiology in public health, clinical and population health research, epidemiologic study designs, and measurement of exposures and health outcomes (validity, reliability, information bias).

Introduces epidemiologic methods to doctoral students in the department of epidemiology (second course of four-term sequence). Focuses on the use of regression analysis in epidemiolocal research, selection bias, confounding and methods to address it, and effect modification.

Introduces epidemiologic methods to doctoral students in the department of epidemiology including prediction in epidemiology, causal inference methods, mediation, advanced analytical methods to address bias, evidence synthesis, and translational epidemiology.

Introduces epidemiologic methods to doctoral students in the department of epidemiology. Formulates an epidemiologic research question, obtains, cleans, and analyzes data, summarizes findings (graphs, tables, abstract), and presents a project in a poster format.

Focuses on practical skills for epidemiological assessments of population health, which include methods for monitoring epidemiological profiles and health trends, using public health information systems for measuring health burden, developing epidemiological profiles and conducting health situation analyses.

Covers epidemiological methods and analyses for public health surveillance, including novel measurement approaches for “real and near real time” surveillance, syndrome surveillance and surveillance of public health events. Students learn interpretation of analytic strategies including descriptive and inferential epidemiological methods for surveillance data.

Focuses on epidemiological methods and tools used in key health situation analyses. Includes the use of prospective epidemiological scenarios for monitoring health targets and indications. Also covers examples of health priority setting assessments; health needs assessments, and the methods for epidemiological stratification of public health problems. Laboratory exercises provide experience with applying concepts, methods and tools to problems drawn from real epidemiological data and published literature.

Covers advanced health situation analyses for the evaluation of effectiveness of public health programs using real public health scenarios and available health information datasets. Covers selected epidemiological metrics for measuring social health inequalities and methods for informing evidence-based healthcare decision-making using epidemiologic data. Also addresses the role of available epidemiological evidence and translational research for public health programs. Laboratory exercises provide experience with applying concepts, methods and tools to problems drawn from real epidemiological data and published literature.

Trains future leaders using advanced epidemiological methods applied in modern public health practice, and provides students with the key epidemiological competencies for mid-level and senior-level epidemiologists. Covers examples of health priority assessments, health needs assessments, epidemiological stratification of public health problems, measuring health inequalities and evaluation of effectiveness of public health programs using real public health scenarios and available health information datasets. Also covers selected methods for translating epidemiologic data for decision-making. Addresses the role of available epidemiological evidence and translational research for public health programs.

Acquaints students with Public Health Surveillance, which is a core public health function essential for understanding and monitoring population health. Covers the theory, data collection methods, data analysis techniques, and presentation strategies of the systematic, continuous, analysis and interpretation of population health data to inform planning, implementation, and evaluation of public health practice. Students identify the different types of surveillance, and how each is applied in varied settings. Practical experiences/labs involve creating data collection tools, and reviewing how they can be applied in practice. Real-world surveillance data is used to illustrate methods for analysis, and how surveillance data should be presented to different audiences. Guests who are coordinating and conducting surveillance in different community settings lead interactive discussion sessions.

Integrates and extends content taught in the Epidemiologic Methods 340.751-753 sequence. Focuses on the conceptual underpinnings and application of strategies for addressing key methodologic challenges that arise when carrying out epidemiologic research. Incorporates experiential learning components, including a term-long self-directed group research project, and provides resources for students to acquire a working knowledge of how to apply presented methodological tools.

Reviews concepts, key assumptions, and published applications of measurement theory, including true scores and counterfactual outcomes, latent variables, and validity. Explores novel applications of item response theory to refinement of measures, assessment of differential item functioning, and calibration of metrics across diverse samples. Topics include analysis of novel types of data (biomarkers, high-dimensional data, administrative records, genetics), item response theory, latent growth curve models for longitudinal data and their extensions, and cross-study statistical harmonization and co-calibration. Draws examples from epidemiologic applications in the behavioral and social sciences. Offers students opportunities for applying lessons from didactic lectures in a laboratory setting using prepared examples.

Presents a holistic framework for studying causal effects of time-varying exposures. Builds on 140.664 and 340.774 and explores how to articulate causal questions and clarifies assumptions needed to identify the effects of time-varying exposures. Distinguishes total effects of exposures at a given point in time from those that involve cumulative doses or adherence to dynamic treatment rules. Outlines design parameters such as eligibility, start of follow-up, and artificial censoring with data from cohorts or administrative healthcare records. Reviews the motivation, intuition, and application of advanced methods such as time-dependent propensity scores, marginal structural models, and the parametric g-formula to overcome time-varying confounding and selection-bias. Emphasizes practical application and robustness checks, guideposts for choosing among study designs and analytic methods, and comparative strengths for studies with an etiologic vs. translational focus.

Introduces power and sample size (PSS) calculations for the design of more complicated studies, including survival or time-to-event outcomes, cluster randomized trials, studies with correlated outcomes, and non-inferiority trials. Introduces the use of simulation to conduct PSS calculations for the design of special situations where existing PSS tools do not directly apply. Showcases the design and conceptualization processes of real-world examples and how PSS statistical calculations serve as an integral component of the processes.

The MPH Capstone is an opportunity for students to work on public health practice projects that are of particular interest to them. The goal is for students to apply the skills and competencies they have acquired to a public health problem that simulates a professional practice experience.

Introduces students to effective and efficient searching of the medical literature, in particular the skills and knowledge needed to produce an effective search in support of a systematic review of the medical literature. Discusses existing standards and evidence for these standards. Familiarizes students with software that helps with managing the results of literature searches. Addresses the competencies needed to complete comprehensive, systematic, transparent searches of the literature.

Teaching Assistant (TA) for PhD students in Epidemiology

Introduces the concept and application of translational epidemiology. Presents a range of topics including communication techniques, giving press releases, use of social media, community engagement, and engaging with policymakers. Introduces related topics like implementation science and public health practice.

Introduces current discussion, controversies, and applications of epidemiology. Reviews landmark papers and current literature and provides guided discussions of the materials. Focuses on exploring key paradigms that have influenced the field of epidemiology. Includes discussion of current trends influencing epidemiologic research and training, controversies in the assessment of populations and outcomes, and individual-level vs. population-health, among others.

Engages with staff, students, fellows, and faculty in the Department of Epidemiology for exposure to epidemiologic methods as applied in research settings. Provides a broader perspective on contemporary issues in epidemiology and its research, through presentations of current research in the field of epidemiology.

Augments Introduction to Clinical Trials (340.645). Describes current standards for clinical trial protocols, consent procedures and describes regulatory requirements and expands upon design and analysis concepts presented in 340.645. Reviews key standards for clinical trial protocols, including the SPIRIT guidelines, recruitment and consent of participants, and principles for data acquisition and sharing. Covers regulatory requirements for drug development and adverse event monitoring as well as the statistical aspects of data monitoring for clinical trials. Provides more in-depth discussion of newer designs for clinical trials including non-inferiority design and adaptive designs. Investigates specific analysis issues for handling missing data, interim monitoring and cost-effectiveness. Addresses the synthesis of results from clinical trials in meta-analyses and the role of post-marketing surveillance in assessing drug safety.

Provides an opportunity for doctoral students to discuss challenges in epidemiology and apply methods and principles learned in didactic courses to formulate research questions and specific aims. Participates in the preparation of dissertation proposal components, develop skills to effectively communicate research questions, and critically evaluate the scientific merit of research proposals.

Review and evaluate critical skills in teaching and communicating science, epidemiology, methods, and theory to a wide range of individuals. Provides a feedback mechanism for learning best practices in education at the graduate level.

Students, postdoctoral fellows and faculty present contemporary epidemiological research articles, focusing on clinical and cardiovascular epidemiology. Emphasizes presentation skills and the ability to critically evaluate scientific papers. Uses a journal-club format in which one or more papers are distributed in advance. Participants are expected to read and discuss the assigned material. Media reporting/coverage in the lay and medical press is explicitly discussed related to the article. Provides a forum for the discussion of the appropriate use of statistical methods for various study designs.

Emphasizes the importance of reading, understanding, and discussing literature. Presents scientific papers from the current literature in genetic epidemiology (students, postdoctoral fellows, and faculty). Provides students the opportunity to interact with faculty regularly. Reviews current topics and methodology in genetic epidemiology with current faculty and research leaders and practitioners.

Provides basic elements and methodology of contact tracing and practical experience by executing these newly learned skills. Reviews current issues and concerns encountered by students. Evaluates and promulgates best practices in contact tracing.

Reviews a common framework for the analysis of comparative effectiveness and safety research CER randomized trials and observational studies, and presents several applications for cardiovascular, renal, and infectious diseases.

Emphasizes critical evaluation of scientific papers, presentation skills, and open discussion among learners. Uses various session formats, such as a) guided journal-club format in which one or more papers are distributed in advance; b) GEM faculty “mini-talks” introducing broad topics relevant to sub-specialty areas within GEM; c) structured debates and discussions; and d) student presentations of research-in-progress. Expects participants to be prepared for each session, which may include: reading journal articles in advance and responding to Guided Journal Article Review questions (and submitting responses through CoursePlus), or preparing a research-in-progress talk. Intends to be a welcoming and rigorous forum for the discussion of the appropriate use of study designs and statistical methods for answering different types of epidemiology research and practice questions, and the strengths and limitations of various approaches.

Helps achieve CTES-specific competencies and prepares for the written comprehensive and oral examinations. Supports progress on theses and dissertations and provides opportunities for students to interact with CTES faculty and other trialists and evidence synthesis experts. Presents methods and appraises manuscripts addressing clinical trial design, conduct, analysis, and reporting as well as topics related to the synthesis of evidence using systematic reviews and other evidence synthesis products during journal club sessions. Present thesis or dissertation projects during research-in-progress sessions.

Emphasizes the importance of reading, understanding, and discussing literature. Presents scientific papers from the current literature in cancer epidemiology (students, postdoctoral fellows, and faculty). Provides students the opportunity to interact with faculty regularly. Reviews current topics and methodology in cancer epidemiology with current faculty, research leaders, and practitioners.

Lab for Principles of Epi

EPIDEMIOLOGIC INFERENCE IN PUBLIC HEALTH I LAB

Lab for PH.340.751

Lab for PH.340.752

Lab for EPI 340.753

Focuses on academic writing skills including documentation styles, and combines Saturday class meetings with online assignments and one individual conference.

Fosters the responsible conduct of scientific research using a combination of lectures, discussion and analysis of case studies. Includes topics: data management, conflict of interest, scientific misconduct, questionable research practices, responsible authorship, peer review, collaborations with peers and industry, trainee-mentor relationships, research ethics and regulatory requirements of the conduct of animal and human research, and the scientist as a responsible member of society.

Distinguishes implementation science from traditional research and practice. Combines didactic methods and group activities to explore the rapidly evolving topic of implementation as it pertains to public health research and practice. Provides an overview of the concepts, theories, tools, and methods used to advance implementation research and practice. Presents key principles of implementation science from a multidisciplinary perspective and provides practical applications of those principles in both practice and research-based settings.

Provides the opportunity to participate in a case study highlighting the essential role of teams and teamwork in building multi-sector collaborations and partnerships in population health.

Introduces the major molecular and cellular components of the immune system and provides a broad understanding of the biological concepts associated with the induction and regulation of innate and adaptive immune responses. Explores major mechanistic topic areas that include the innate recognition of pathogens, the molecular nature of antigens and antigen presentation; molecular basis for antibody and T-cell receptor structure and diversity; cytokine signaling in immune activation, T cell lineage commitment, cellular basis for antibody production, cellular basis for T cell activation and cellular immunity, and central and peripheral tolerance.

Provides students with a broad overview of qualitative methods and concepts used in the public health sciences. Emphasizes the conceptual foundations of qualitative research and how it is used in public health.

Provides a broad overview of public health milestones through the lens of diverse public health faculty spanning from molecular biology, vaccine policy, injury, and micronutrient supplementation to health disparities, legal issues, bioethics, and health security. Reviews a milestone with each lecture as viewed by an individual faculty and provides opportunity for questions and discussion.

Provides a broad overview of public health topics through lectures given by faculty across the Departments and Centers of the School. Provides exposure to these issues and discussions that may help students further refine their MPH interests, goals, and future projects.

Uses divergent public health issues to illustrate a systematic problem solving process for use in addressing public health problems. Includes defining the problem, measuring its magnitude, understanding the key determinants, developing a conceptual framework of the relationships between the key determinants, identifying and developing intervention and prevention strategies (either interventions or policies), setting priorities among intervention options, understanding barriers to implementation and evaluation, and developing an effective communication strategy. Consists of lectures, discussions, small-group exercises, a group project, and individual assignments.

Critically explores a range of important topics in the history of public health in Baltimore from the mid-18th century to the present, including: migration and health; sewers and water supply; infectious disease control (for example, tuberculosis and STDs); housing and lead poisoning; rodent control. Recurrent themes are racial inequality, the geography of poverty and the multiple challenges of urban government. Focuses on the city of Baltimore, but the issues discussed are placed in their wider national and international contexts and take into account broad historical developments in the theory and practice of public health.

Generative artificial intelligence (AI) has the potential for profound impact on all aspects of modern culture, including the practice of public health. Rather than seeing generative AI purely as a threat ("Don't use ChatGPT to write your papers"), this course takes an alternative approach, asking "how can we use generative AI tools to improve the public's health?" Having a solid foundation in the both the capabilities and limitations of generative AI can help students produce good outcomes and prevent bad ones. Direct use of these tools will give students a skills-based foundation in the effective use of these potentially transformative tools. We expect there to be broad student interest in this topic, and a course on generative AI in public health will help advance the School's leadership position in cutting-edge public health education.

Provides first-year DrPH students with an understanding of program requirements, including required coursework, the DrPH practicum, the comprehensive written exam, and the dissertation. Prepares students for summarizing and organizing the scientific literature types of scientific inquiry, e.g., qualitative, quantitative, and mixed methods.

Provides first-year DrPH students with an understanding of program requirements, including required coursework, the DrPH practicum, the comprehensive written exam, and the dissertation. Prepares students for summarizing and organizing the scientific literature types of scientific inquiry, e.g., qualitative, quantitative, and mixed methods.

Provides first-year DrPH students with an understanding of program requirements, including required coursework, the DrPH practicum, the comprehensive written exam, and the dissertation. Prepares students for summarizing and organizing the scientific literature types of scientific inquiry, e.g., qualitative, quantitative, and mixed methods.

Provides first-year DrPH students with an understanding of program requirements, including required coursework, the DrPH practicum, the comprehensive written exam, and the dissertation. Prepares students for summarizing and organizing the scientific literature types of scientific inquiry, e.g., qualitative, quantitative, and mixed methods.

Provides a grounding in research study design and supports students as they begin to think about their thesis topics and research. Familiarizes students with identifying research questions, developing a conceptual framework, and developing a study design. Focuses on alternative epistemologies.

Provides a grounding in research study design and supports students as they begin to think about their thesis topics and research. Familiarizes students with identifying research questions, developing a conceptual framework, and developing a study design. Focuses on alternative epistemologies.

Provides a grounding in research study design and supports students as they begin to think about their thesis topics and research. Familiarizes students with identifying research questions, developing a conceptual framework, and developing a study design. Focuses on alternative epistemologies.

Discusses molecular, biochemical, cellular and immunological methodology and approaches for the mechanistic understanding, treatment and prevention of human diseases, and for understanding disease susceptibility. The focus will be on the application of biological methods and approaches to such critical issues as infectious disease, cancer, neurodegenerative disease, COPD, environmental toxicant effects on early development, and reproductive anomalies and their treatment.

Introduces students to concepts, methods, and issues related to the application of analytics to Electronic Health Record (EHR) data. Covers the use of EHR data to define and identify populations and sub-populations of patients, evaluate common metrics in health care, and improve patient safety and care quality. Emphasizes the use of EHR data in hospital settings.

The MPH capstone is an opportunity for students to work on public health practice projects that are of particular interest to them. The goal is for students to apply the skills and competencies they have acquired to a public health problem that simulates a professional practice experience.

Explores topics related to clinical investigation presented by faculty experts from within and outside of Johns Hopkins. Addresses issues related to biomeasurement, the design of randomized clinical trials, challenges with observational cohort studies, studies focusing on special populations (pediatric age group, pregnant subjects, international studies), and research fraud.

Since US Immigration laws require that all International students must be enrolled full time when on campus, students must complete their departmental/program comprehensive examination or their School preliminary oral examination enrolled as a full-time student during the time period of the exam.

MPH MBA Internship

Provides an opportunity for students to, in consultation with a faculty mentor from the Dept of Biochem and Molecular Bio, Environmental Health or Molecular Microbiology and Immunology, prepare a critical, scholarly paper on an agreed upon subject area.

Examines academic and research ethics at BSPH in a series of online interactive modules. Focuses on information about the academic ethics code and responsible conduct of research at the School. Explores issues of academic integrity such as proper ethical conduct and referencing, and discusses violations such as plagiarism and cheating, relative to case studies that illustrate situations faced by students and faculty in the academic setting. Addresses topics that include responsible conduct of research, authorship, data management, data ownership, guidelines for professional conduct, research fraud or scientific misconduct, federal and institutional guidelines related to research using human and animal subjects and ethical issues involving vulnerable subjects in research.

Conducts a project involving a defined denominator population at a community-based organization or local health department. Participates in seminar sessions that cover basic methods of outreach to community organizations, attitudes and values about the role of professionals in community-based work, the social contract required of service professionals, and the attitudes required for effective public health practice.

Introduces the substantive and methodologic bases for public health research, emphasizing the critical roles of the quantitative, qualitative, biologic, social, and behavioral sciences in improvement of public health. Highlights principles of high-quality research, including the value of a population perspective, interdisciplinary cooperation, the importance of new measurement techniques, and the interface between theory and practice. Gives students information about the interactions between the public and the researcher.

Introduces MPH students to their educational program. Includes enrichment seminars, required readingsand assignments, including the Goals Analysis requirement.

Prepare residents in the theoretical, practical, and clinical knowledge and skills essential to leadership roles in the design, management, and evaluation of population-based approaches to health.

The MPH Practicum is a mentored, hands-on practical public health experience, which involves meaningful participation and interaction with public health professionals.

Allows international graduate students required to take in practicums for their degree, to engage in practicum opportunities outside of JHU. Permits OIS to process Curricular Practical Training (CPT) for students in this course.

Discusses the importance of selecting the appropriate format for addressing different capstone topic. Reviews search strategies and data bases for a literature review. Provides tips for using a citation management software such as RefWorks in order to provide proper attribution to references. Introduces the basic strategies for writing a clear and concise capstone paper. Provides tips for presenting data in tables and graphs. Introduces the basic strategies for giving a good oral presentation. Presents tips for giving and receiving meaningful feedback. Introduces principles for the design of a good poster.

Special studies for practicum activities with SOURCE and participating Baltimore City community-based organizations.

Covers the bases for the role of quantitative methods in public health, including how to formulate scientific questions quantitatively, different types of data, properties characterizing high or poor quality of measurements, the implications of statistical uncertainty, and the difference between association and causation. Uses illustrative case examples including the opioid epidemic and aging.

Acquaints students with a broad overview of the use of qualitative research methods in public health. Explores the types of critical public health questions best addressed through a qualitative approach and introduces conceptual principles that are foundational to qualitative research. Exposes students to key issues in planning and conducting qualitative research, as well as strategies for analyzing qualitative data.

Provides a broad understanding of the top causes of morbidity and mortality globally, in the U.S., and in Baltimore City, as well as the trends in these estimates. Introduces measurement of morbidity and mortality, and threats to the quality of measurements. Addresses the role of population characteristics (age, sex, region, race/ethnicity) in estimates and trends. Discusses case studies of major causes and trends in morbidity and mortality in defined populations.

Provides a broad understanding of the different levels of public health prevention: primary, secondary, and tertiary and discusses the impact of each level on prevention in population health. Emphasizes the role of epidemiology in prevention and control; compares and contrasts the descriptive epidemiology, natural history, and pathologic and biologic characteristics as well as factors related to their etiology. Presents the impacts of recent advances in human genomics/genetics, immunology and metabolism on prevention strategies for chronic and acute disease. Introduces basic principles, theories, and methods in the field of prevention science. Identifies public health interventions that operate at multiple ecological levels, including the community, family, and individual. Introduces the role of resilience. Discusses case studies related to the prevention of different physical, mental, behavioral and infectious disease health problems.

Emphasizes the need to establish the credibility of the evidence, based on the rigor of the methods used in generating it (e.g., type of studies, rules of causality, the nature of errors) before employing evidence to advance knowledge, practice, or policy. Discusses the bases for debate about recommendations for particular interventions that impact a population’s health, how to weigh their benefits and harms, the ethics of scientific conduct, and effective communication in building evidence. Uses illustrative case examples, such as breast and prostate cancer screening, vaccines for measles and cervical cancer, nutritional sodium reductions, and the opioid epidemic.

Course Description: Summarizes the public health impact of environmental agents (e.g. chemical, biological, physical) present in air, water, soil, food, and the community. Discusses how these agents cause adverse health effects as well as ways to assess the risk of such effects and apply strategies for preventive interventions. Presents systems that have major impacts on environmental health, as well as applications of the science in the real domestic and international world. Through four modules: Foundations; Exposures in Air, Water and Food; Systems; and Cases, exemplifies effects of specific environmental exposures.

Focuses on the basics of cellular and molecular biology, genetics, and infectious agents. Explains concepts that link basic biology to disease and population health. Illustrates application of biologic and genetic principles to population health using case studies.

Shows the role of behavior in health, drawing from smoking and other risk behaviors. Examines factors along the socioecological continuum that influence such behavior. Highlights key determinants for achieving behavior change to improve health outcomes, such as feasibility, self-efficacy and social support. Introduces common types of behavior change interventions, such as counseling and social marketing.

Provides an overview of social, political, and economic influences on health and their role in producing health inequalities within and among populations. Emphasizes key axes of inequality: gender, race/ethnicity, and socioeconomic status. Explains conceptual foundations for social determinants of health and health inequalities. Summarizes evidence linking selected social, political, and economic factors to health and the pathways by which they influence health. Highlights importance of understanding social determinants of health, despite challenges of designing interventions targeting social determinants.

Evaluates in depth the complex relationship between globalization and health. Discusses this relationship across the four main dimensions of globalization (economic, political, cultural and environmental). Examines the existing evidence on the impact of globalization on global burdens of disease. Explores the opportunities of globalization and strategies for mitigating its negative effects.

Introduces the principles of One Health, the interface of human health, animal health and environmental health. Examines the methods and tools for the conduct of One Health studies and the design of One Health programs. Uses a systems thinking approach to explore multiple topics including food systems, food and animal policies, One Health governance, and stakeholder engagement.

Provides an overview of budgeting and resource management for public health practitioners working in health settings. Discusses the role and functions of governing bodies. Considers the types and categories of performance problems as well as how to determine causes of performance deviations and approaches for remedying them. Explores the tools and resources of budget and resource management.

Addresses strategies for creating budgets for projects and programs. Stresses the essential role of budgets in promoting the health of organizations and resource management. Explores how budgets are used to facilitate project and program management, including assessing whether high-quality outcomes are being achieved on time and within resource constraints or whether changes to the work plan, budget, or available resources are needed.

This course provides an overview of the essential role interprofessional teams in building multi-sector collaborations and partnerships in population health. Following deliberate, evidence-based methods for effective collaboration, the course identifies and discusses several key factors that can only be addressed through cross-sector efforts. These factors include the social determinants of health, complexity, context, and societal resistance. The Collective Impact Model, designed to tackle entrenched, socially complex issues, is introduced as an evidence-based for effective, large scale, sustainable change.

Provides students with an understanding of how to apply systems thinking in public health. Trains students on the fundamentals of systems thinking theory and offers opportunities to apply key methods and approaches to health policy and health questions. Prepares students to ask relevant research questions and apply systems thinking to describe, understand, and anticipate complex behavior. Examines how systems models can be critically appraised and communicated with others so public health policymakers can exercise a greater degree of wisdom and insight.

Provides a practical introduction to grassroots organizing for policy change. Uses foundational literature and case studies to review the history of advocacy and organizing for public health. Introduces campaign planning and management, discusses the role of research and coalition-building, and explores different types of organizing. Prepares students to participate in and critically assess public health campaigns to change the policies and structures that set the contexts in which people make their decisions about health.Introduces students to two key areas of knowledge in public health practice: 1) the principles and methods of community organizing and 2) campaigning for policy and structural change. Includes a series of short assignments and group activities that will culminate in a final product: the creation of a campaign plan for changing public policy regarding a specific public health problem.

Introduces students to a social ecological perspective of population health. Challenges students to address societal and structural forces such as socioeconomic position, racial and ethnic and gender sources of inequality as well as interpersonal processes reflected in norms, networks, and social capital. Focuses on behavior, communication, decision-making, and health outcomes at the individual, family, and community levels. Applies these social and behavioral perspectives to a better understanding of health problems and prepares students to develop effective public health interventions for individuals, families, communities, and populations.

This course provides students with an overview of tobacco product regulation, including cigarettes, smokeless tobacco, shisha, and emerging nicotine delivery systems, such as e-cigarettes and heated tobacco products. Students will explore tobacco regulatory frameworks and national policies; review past regulatory successes and emerging regulatory strategies; search industry patents to understand how product innovation is protected and presented; and study the tobacco industry’s tactics to counter tobacco regulation by critically assessing media stories.

Provides an introduction to workplace health promotion (wellness) programs, including a practical measurement and evaluation guide. Explains the key elements of measurement: structure, process, and outcomes. Reviews rigorous techniques and principles used in applied research studies and how they can be adapted to workplace health promotion evaluations. Offers easy to implement techniques for conducting survey studies at the workplace.

Acquaints first-year genetic counseling students with the thesis proposal development process. Provides an overview of the ongoing research opportunities at Johns Hopkins and the National Institutes of Health. Familiarizes students with possible collaborators.

Discusses a variety of harm reduction strategies as they pertain to substance use issues. Introduces various programs that address substance use problems from a harm reduction perspective. Describes the evidence base supporting harm reduction programs. Explores the complicated legal and contextual issues associated with implementation of harm reduction programs.

Prepare DrPH students to apply health equity frameworks and measurement tools in their everyday functions; Includes four components: definitions and historical perspectives of health equity, health disparity, and social justice; common theoretical frameworks and their applications to different aspects of health equity, health disparities, and social justice; measurement tools used for health equity and health disparities in context; strategies and policies to reduce health disparities and promote health equity; Students complete a final project in which they must propose a program based in theory and proven need within their professional capacity

Introduces students to innovative methods, practical tools, and skills required to conduct evidence-based research that promotes local and global health equity. Theoretical frameworks draw on fundamental values and principles, including human rights, social justice, the value of diverse ideas and perspectives, inclusiveness, trustworthiness, behavioral and implementation science, and participatory decision-making. Includes lectures, interactive panel discussions, case-based examples, and opportunities to obtain feedback on research ideas from experienced investigators.

Introduces public health professionals to the five phases of the video production process: conceptualization, script writing, pre-production (e.g., scouting locations, casting), production (e.g., shooting, voice-over), post-production (e.g., editing, graphics). Acquaints students to the fundamentals of script writing.

Given the complexity of many public health problems, systems thinking is increasingly cited as an approach and competency needed to understand these problems. The field of obesity in particular has benefited from systems thinking, methods and modeling, however, the application of these methods remains in an inchoate stage. Students will explore various systems concepts such as leverage points, heterogeneity, complexity, adaptability, interdependence, and learn how those concepts have been applied in obesity and food system research. Students will learn which systems concepts are most useful for researching specific obesity topics and their limitations. Finally, students will explore how systems research concepts and models critically appraised and communicated with others so public health policy makers can exercise a greater degree of wisdom and insight.

Introduces students to the contemporary wellness industry in the US (including fitness and yoga) and explores the relevance of this industry for public health promotion. Describes core industry strategies for behavior change, and opportunities for public health evidence and research to inform industry practice. Content includes consideration of social media and the application of effective industry communication and motivation strategies for health promotion broadly defined.

Introduces the issues of homelessness and its relationship to health. Presents factors leading to homelessness, myths about homelessness, barriers to accessing services, health problems that arise from homelessness, multidisciplinary approaches to health care from homeless persons, and advocacy strategies.

Explores the relationship between health, wealth, poverty, and public policy in the U.S. as well as internationally; assesses past and future strategies to remedy inequities in health and health care. Addresses theories of social class; distribution of poverty across gender, age, and ethnic/racial groups; antipoverty programs and their effects; effects of changes in health care organization on the poor; and possible modifications to provide greater equity. Investigates how a dramatically changing media landscape influences patterns of belief about the causes of poverty and its remedies. Synthesizes scientific evidence with a variety of genres and disciplines including: history, psychology, political science, religious thought, philosophy, geography, literary theory, popular culture, film/media studies, and music.

Examines three theoretical perspectives that are foundational to sociology, particularly as applied to medical sociology and sociologically informed public health research: 1) Conflict Theory, (aka: critical theory), 2) Social Integration Theory (aka: structure functionalism), 3) Sociology of Meaning (including social construction, medicalization, and symbolic interactions). Uses these perspectives to analyze various aspects of health and illness, the healthcare system, and health policy issues. Analyzes these aims: (1) its assumptions about the social world; (2) how it helps us think differently about social structure and human agency; and (3) the intellectual questions it raises. Examines how each perspective has been or could be applied in the study of health and illness and healthcare systems.

Emphasizes real world integrative thinking, tools, and solutions in the pursuit of improving public health in the U.S. and internationally. Presents a global, multifaceted examination of health and illness, exploring the many factors that influence - or even determine - whether we remain healthy or become ill. Using biopsychosocial and environmental/ecological perspectives, explores the most prevalent diseases and health challenges confronting us today. Presents emerging views of health and illness being used in research, program and policy arenas. Examines factors such as socioeconomic status, ethnicity, stress, stigma, social support, coping, and politico-cultural influences through an array of contemporary issues, including: obesity, HIV/AIDS, women's health, bioterrorism, environmental public health, mental health and others. Presents innovative social and behavioral perspectives, tools and approaches.

Provides an overview of the design and conduct of research in the social and behavioral sciences as applied to public health. Draws primarily from the research perspectives and methodologies of sociology, anthropology, and health promotion, students examine the formulation of a research question, selection of a research design, selection of a study site and population, issues and methods of data collection, and measurement validity and reliability. Evaluates the strengths and weaknesses of the major types of research design used in the social sciences.

Explores social influences on behavior and health. Teaches what research and experience in public health practice can tell us about how to affect social and structural change to improve the health of the public. Draws on theoretical, epidemiological, and case study evidence, uses specific health issues such as substance use, HIV, and stigma, and explores and illustrates the effects of social structures and practices on individual health status and behaviors. Develops a deeper understanding of the key concepts that inform a social and structural perspective on health, including race, class, gender, sexuality, socio-economic status, environments, and social networks and social capital. Also instructs and challenges students to think in terms of multi-level interventions that can influence these factors toward improved health outcomes.

This eight-week course will prepare participants to be effective teachers who: 1. Are knowledgeable about how learning takes place 2. Can develop and use appropriate active learning strategies in their classrooms 3. Can propose ways to make classrooms more inclusive and equitable

Introduces students to several qualitative data analysis software (QDAS) programs, including MAXQDA, Atlas.ti, NVivo, and Dedoose. Discusses the functions and limitations of qualitative data analysis software. Explores how QDAS can be used throughout a qualitative research project. Explains how to use QDAS for multi-media analysis, including images, video, and audio. Demonstrates how to use QDAS to organize data, produce reports, make comparisons, detect patterns, and facilitate analysis. Demonstrates how to use QDAS in team-based research projects for data coding and analysis. Prepares students to use QDAS to develop deeper insights into their data through visualization and mapping. Complements qualitative research methods and data analysis courses.

Introduces students to social justice frameworks and operational definitions to apply to research, policy, and practice. Challenges students to address societal and structural forms of oppression across systems in efforts to center cultural values and practices when implementing public health policies or programs.

Introduces students to different health behavior change theories addressing several levels of the Ecological Model. Students review and practice using program planning frameworks and needs assessments for designing effective interventions. Students choose a public health problem of their choice and design a behavior change intervention to address that problem. The process of creating the intervention is guided by a needs assessment and is theoretically informed.

Introduces students to the principles of strategic leadership, placing these in the context of facilitating health systems change in developing countries. Covers the following topics: mental models and the household production of health, systems thinking and strategic leverage, personal mastery and commitment to change, action-learning principles and practice, shared vision and creative tension, the theory of constraints and root cause analysis, strategy design and key moves, implementation with accountability, and linking data to action. Develops leadership skills via interactive computer exercises using STARGuide software, small group work and class presentations.

Provides the opportunity to participate in a case study highlighting the essential role of teams and teamwork in building multi-sector collaborations and partnerships in population health.

Prepares students for case preparation and genetic counseling in the cancer setting. Exposes students to a wide range of challenging counseling scenarios that require intermediate and some advanced counseling and communication skills.

Expands students’ understanding of, and skills in planning, implementing, and evaluating injury and violence prevention programs. Both unintentional and intentional injuries have been the focus of a considerable body of behavioral science research and behavior change interventions. Students read and discuss selected examples of this work and enhance their skills in applying behavioral science principles and best practices to an injury or violence area of interest to them. Topics include historical overview of behavior change and the injury prevention field, as well as examples of behavior change theories, strategies, and methods that have been applied to selected injury and violence problems.

Introduces constructs of sexual orientation and gender identity in the context of public health. Explores historical, epidemiological, and social perspectives related to the physical and mental health of lesbian, gay, bisexual, transgender and queer (LGBTQ) individuals and communities. Orients students to current and historic epidemiological and contextual issues that shape what is known about LGBTQ health, presents an overview of LGBTQ health disparities and interventions, and develops a foundation for critical thinking about LGBTQ health research and intervention potential.

Introduces design thinking, a transdisciplinary, human-centered, creative problem-solving approach, and its applications in public health. Focuses on engagement with a Baltimore-based organization to address a real design challenge based on a problem the organization is facing. Provides students with practice using the design thinking process to identify a product, service, or system that more effectively meets end-user needs and preferences. Includes empathetic research methods to uncover insights about the challenge and end-users’ experiences, working with stakeholders to generate a range of potential solutions, prototyping, and testing promising solutions, and identifying key considerations for implementation and scale-up. Discusses real-world case studies with HCD practitioners from the Johns Hopkins Center for Communication Programs (CCP).

Introduces constructs of sexual orientation and gender identity in the context of public health. Explores social, epidemiological, and historical perspectives related to the health of lesbian, gay, bisexual and transgender (LGBT) individuals and communities, and uses a case study approach to examine topics of particular salience for LGBT health. Designed to: 1) provide an overview of key LGBT health topics, 2) orient students to current and historic epidemiological and contextual issues that shape what is known about LGBT health, and 3) provide a foundation for critical thinking about LGBT health research questions and intervention potential.

Provides an understanding of major public health challenges impacting first and second- immigrant youth in the United States. Examines how culture and context shape child and adolescent development in immigrant families. Applies health equity and human rights frameworks to understanding the health and well-being of first and second-generation immigrant youth. Discusses the complex and evolving legal, institutional, and policy context shaping social risks and access to preventative health services for immigrant families. Addresses experiences of specific groups, such as children of migrant farmworkers and unaccompanied immigrant minors. Analyzes the interplay between federal, state, and local policy, as well as the role of community-based organizations and informal community supports, in promoting or detracting from the health of first and second-generation immigrant youth. Offers opportunities to develop approaches to address and mitigate health concerns for this population.

Uses projects primarily from domestic settings to illustrate and evaluate the program component delivery process and continuation or sustainability of activities and benefits of community-based disease prevention and health promotion programs after initial funding ends. Covers theories of innovation and organizational change; community participation and involvement; programmatic, cost-benefit, and ethical considerations related to the goal of sustainability; program characteristics associated with sustainability; and the relationships between investments in health and overall community development.

Introduces students to the fundamental principles of, rationale for, and key considerations in conducting community-based participatory research (CBPR). Offers knowledge of and skills in CBPR that emphasize the importance of community inclusion and partnership as a viable approach to constructing and increasing the acceptance of interventions and improving the health and well-being of populations. Also uses case-based learning as an approach for real world application of CBPR concepts.

Provides practical methods to develop, implement, and sustain successful health equity research programs in the United States and communities around the world. Introduces students to innovative methods, practical tools, and skills required to conduct rigorous health equity research and translate evidence-based strategies into practice and policy. Topics range from stakeholder engagement and behavioral intervention development to research methods in healthcare services for socially at-risk populations. Includes lectures, interactive discussions, case-based examples, and opportunities to obtain feedback on research ideas from experienced investigators.

This course introduces and guides students in the writing of scientific manuscripts for publication in an area related to public health, particularly social and behavioral sciences. The goal of the course is to facilitate more effective writing of research articles using practical examples and peer feedback. Topics include: principles of good writing; tips for writing more efficiently; journal selection; co-author selection, and the anatomy of a manuscript. Students begin the course with a research question (purpose of study) and a summary of quantitative or qualitative (or mixed methods) data they would like to present in a scientific manuscript. This typically takes the form of summary tables. All analyses must be completed prior to the start of the course. Students end the course with at least two sections (e.g., methods and results) of a completed manuscript.

This course guides students in the writing of scientific manuscripts for publication in an area related to social and behavioral sciences. The goal of the course is to facilitate more effective writing of research articles using practical examples and peer feedback. Topics include: completion of the manuscript; drafting a cover letter; the process of peer review; revising a manuscript; and proofs and ultimate publication. Students end the course with a completed manuscript for ready for submission to a journal for publication.

Provides an overview of actions taken over 50 years that have led to tobacco control being the most successful public health initiative. Actions of tobacco control are directly linked to changes in societal norms so that smoking is no longer socially acceptable in the US and in other countries. This course presents evidence-based policies, regulations, advocacy and communication strategies responsible for these changes. Challenges still present include disparities as well as introduction of novel products (Juul). The influence of transnational tobacco industries will be discussed and their role in undermining governmental and international actions to control tobacco use.

Compares the fields of tobacco control and climate change by describing the lessons learned from tobacco control—one of the most successful public health movements. Provides an overview of tobacco control research and advocacy approaches that form a comprehensive public health strategy and considers the use of the social ecological model to address the threats posed by climate change. Explores how both issues involve economic, social, environmental, and behavioral forces that require multi-level approaches from multiple sectors. Offers insight into industry and private sector interference that obfuscates scientific evidence, confuses the public, and stalls effective regulatory policy for both fields of study. Encourages critical comparative skills throughout to discuss how to improve public health approaches.

Examines and teaches ways in which education can be subtly but effectively worked into both new and time-honored genres of entertainment in order to foster positive behavior change and life improvement in both developing countries and local environments. Develops students’ ability to understand the ingredients of successful entertainment: emotions, empathy, efficacy and empowerment, and how these can be employed to enhance social and personal health and life skills. Examines methodology and develops skills needed to create a successful Entertainment-Education (E-E) project in entertainment (story, drama, etc.) formats with effective behavior change messages.

Focuses on strengthening students’ understanding of sexual risk-taking and provides a solid foundation in communication strategies for sexual risk-reduction from an international perspective. The literature and examples emphasize HIV and STI risk reduction. Adopts a seminar format and consists of readings, discussions, presentations, video viewing, case studies, and critiques of literature on sexual risk-taking and protective behaviors. Includes hands-on analyses and interpretation of empirical data on sexual risk-taking and development of a communication strategy.

Provides an overview of concepts and theories in communication with a focus on health behavior change. Explains the importance of health behavior as a contributor to current public health problems and the role of behavior change communication; describes methods of communications needs assessment. Also provides the approaches, conceptual tools in planning and management of communication processes in hospitals and out-reach programs in health services, and to develop skills for effective communication with clients and other stakeholders.

Examines the measures and predictors of health for the US Latino population. Learns how psychosocial and other individual-level factors, as well as socio-political, community, and health care delivery factors influence an individual’s success in accessing the health care system in a sustainable manner. Learns key steps to design, implement, and evaluate health care programs working to decrease the health disparities gap faced by Latinos in the US, by using case studies that take into consideration the heterogeneity of the Latino population.

Broadens students’ understanding of health communication to include the strategic use of the news media to support community organizing to change public health policy. Builds on theoretical and empirical work in mass communications, and uses case examples in a number of health policy areas to show how the strategies and tools of media advocacy may be applied to specific public health policy campaigns. Ample opportunities are provided for students to “practice” media advocacy, in the form of writing letters to the editor and opinion pieces, role-playing interviews, and so on. Introduces students to research literature about news media forms and practices; to framing techniques to influence news content and gain access to news channels; and to the relationship between media advocacy and other forms of health communication

Introduces participants to knowledge management (KM), behavioral science, and adaptive management principles, processes, and tools, and their applicability to the design and implementation of global health efforts. Demonstrates, through real-life examples, how KM, behavioral science, and adaptive management principles can be applied to strengthen public health systems and maximize available knowledge to reach public health objectives. Emphasizes the importance of culture and equity as drivers for program success.

Examines the major theoretical frameworks that are relevant to the development, enactment, implementation and evaluation of policy interventions that support healthy behavior change. Explores the roles of ideas, interests, institutions, key actors and ethics in the policy process are explored. Discusses how the environment can be influenced to improve the chances of implementing effective interventions to improve the public’s health. Presents case studies to critically explore the strengths and limitations of policy change theories as they relate to current hot topics in the area of health, behavior and society.

Introduces students to qualitative research methods applied to the investigation of public health issues. Explores the theoretical underpinnings of qualitative research, factors that influence the utility of a qualitative approach, and ethical considerations in qualitative research. Focuses on the qualitative interview and provides an overview of the practical skills and tools required for conducting qualitative interviews and analyzing qualitative data.

Introduces students to a key area of knowledge in public health practice: the principles and methods of community organizing and campaigning for policy and structural change. Focuses on how to mobilize the right people at the right time, with the right demands, to change public policies to promote health. Complements other courses in the school that look at advocating within policy processes or by using the mass media by placing these strategies in the context of the practical daily work and thinking of people who plan and carry out policy change campaigns at grassroots and grasstop levels.

Introduces students to the analysis of interview and focus group data collected as part of qualitative public health research. Explores distinct analytic approaches and traditions, and compares the strengths and weaknesses of different analytic paradigms for different research questions. Introduces computer software for coding and managing data using freely available online demonstration of various software packages. Presents both theoretical and practical dimensions of qualitative data analysis. Emphasizes hands-on learning activities within the classroom to practice and apply concepts learned through readings, lectures, and discussion. Develops skills to conceptualize an analytic plan for qualitative data for future research.

Provides a practical introduction to campaigning and organizing for public health. Combines experiential learning (through participation in an actual campaign) with traditional learning (online lectures, in-class discussions and readings). Uses case studies to review the history of organizing for public health. Introduces campaign planning and management, discusses the role of research and coalition-building, and explores different types of organizing. Part of a two-term sequence that prepares students to participate in and critically assess public health campaigns to change the policies and structures that set the contexts in which people make their decisions about health.

Provides a practical introduction to campaigning and organizing for public health. Combines experiential learning (through participation in an actual campaign) with traditional learning (online lectures, in-class discussions and readings). Uses case studies to review the history of organizing for public health. Introduces campaign planning and management, discusses the role of research and coalition-building, and explores different types of organizing. Part of a two-term sequence that prepares students to participate in and critically assess public health campaigns to change the policies and structures that set the contexts in which people make their decisions about health.

Applies insights from anti-colonialist texts to the field of global health communication. Critically examines the intersection of theories of economic development, social change, and communication as applied to public health. Introduces the complex and dynamic role of global communication in the social determinants of health. Interrogates “development” discourses as applied to health communication in middle- and low-resource areas countries. Presents evaluations of communication interventions in low- and middle-resource nation-states. Investigates health communication endeavors abroad as well as in low-resource settings in the U.S.

Addresses social approaches to promoting sustained adherence to health regimens among persons living with chronic conditions. Addresses prescribed use of medications, lifestyle changes, and retention in healthcare over time among persons living with HIV/AIDS, hypertension, and other chronic conditions. Enables students to: (1) assess adherence to health regimens, (2) identify correlates of adherence at the individual, interpersonal, and social network levels, and (3) assess major approaches and components of medical adherence interventions, and their linkage to theories of behavior change. Explores social factors impacting vulnerable populations’ medical adherence and health disparities, drawing examples from both domestic and international contexts.

Introduces students to key epidemiological, conceptual and historical constructs critical to understanding and responding to the HIV epidemic among gay, bisexual and other MSM in the United States. Explores the role of social and ecological factors and theoretical constructs (e.g., race and ethnicity, intersectionality and minority stress, gender and masculinity, policy and structural changes, and other social determinants) on individual and population-level experience of the HIV epidemic. Provides an in-depth understanding of the challenges to prevention and care in these constituencies through lectures, readings, small group work, and a panel discussion with community stakeholders. Provides students with an ability to develop new lines of theory, research and practice to more effectively apply a socio-ecologic framework to the HIV epidemic and better respond to HIV as a public health issue.

This course introduces and guides students in the writing of scientific manuscripts for publication in an area related to public health, particularly social and behavioral sciences. The goal of the course is to facilitate more effective writing of research articles using practical examples and peer feedback. Topics include: principles of good writing; tips for writing more efficiently; journal selection; co-author selection, and the anatomy of a manuscript. Students begin the course with a research question (purpose of study) and a summary of quantitative or qualitative (or mixed methods) data they would like to present in a scientific manuscript. This typically takes the form of summary tables. All analyses must be completed prior to the start of the course. Students end the course with at least two sections (e.g., methods and results) of a completed manuscript.

Prepares students to develop effective risk communication strategies using digital media. Emphasize practical theories of social and behavioral change which are intuitive and can be applied by practitioners in LMICs. Teaches not only how to increase the motivation to adopt healthier behavior, but also how ability factors due to inequities inhibit behavioral adoption and the extent to which communications interventions can address these barriers. Teaches the strengths and limitations of digital behavior change approaches, the current state of the literature on digital interventions, and how the effectiveness of digital interventions can be augmented

Presents advanced analytic methods relevant to the social ecological model and other theoretical frameworks common in the social and behavioral sciences. Emphasizes multilevel analyses, longitudinal analyses, and propensity score methods. Introduces factor analysis, analysis of experimental studies, structural equation modeling, and complex surveys. Explores the suitability of these methods to address different research questions and study designs. Provides discussions of underlying concepts and assumptions and presents key issues in their application. Illustrates methods through critical review of published articles and by working through examples in Stata. Presents resources for continued advanced study, including methods courses offered through the school.

Introduces students to ethnography as a method of qualitative research (fieldwork) and a product of this research (written accounts and monographs). Introduces skills and data collection methods fundamental to ethnographic fieldwork, particularly immersion, participant observation, writing field notes, and listening. Discusses what constitutes “the field” in ethnographic fieldwork, the holistic perspective, and “thick description.” Explores key theoretical and methodological issues in contemporary ethnographic fieldwork such as ethics, positionality, reflexivity, and power. Emphasizes the role of ethnographic research in public health. Prepares students to critically assess ethnographic writing. Combines lecture, discussion, and practical skill development.

Introduces doctoral students to emerging discussions and applications of mixed methods research in public health. Explores mixed methods as a third research paradigm that involves the utilization of both quantitative and qualitative methods within a single inquiry to enhance the researcher's abililty to understand the problem at hand. Fosters synthesis of and engaged reflection on qualitative and quantitative research training. Specific topics include: history and language of mixed methods research; relevant paradigms and epistemological debates; mixed methods design and research questions; and analysis and dissemination considerations.

Examines how behavioral research (especially intervention research) is used, and not used, by policy makers and program administrators to determine what public health services are delivered. Defines the major types of decisions made in determining services to deliver in public health programs and major decision analytic methods used to aid these selections. Includes these types of decisions: (1) how much to invest in service for one disease area relative to another, (2) determining if an intervention is affordable for large-scale delivery, and (3) choosing how much to invest in each of several different types of services within one disease area. Includes methods decision tree analysis, cost analysis, and cost-utility analysis.

Introduces the theory and method of network analysis, its application to public health, emphasizing the dissemination of public health information and the transmission of disease, and the influence of networks on health-related behavior.Introduces the theory and method of network analysis, its application to public health, emphasizing the dissemination of public health information and the transmission of disease, and the influence of networks on health-related behavior. The course consists of class lectures, discussions, labs, reading materials, and problem sets. Data analysis will be conducted using STATA, UCINET and Netdraw software packages. Students need to have the access to Window system to download a free version of UCINET and Netdraw.

Presents a multi-step strategic approach, called the P-Process, for designing, implementing, evaluating, and critiquing health communication programs. Explores the P-Process and walks students through each step, from the formative research stage to and discussion of monitoring and evaluation indicators to design pretest and implementation. Provides the opportunity to design a health communication program for a behavioral or normative public health challenge. Recognizes communication as a science and an art and emphasizes that importance when developing communication interventions that address health behaviors.

The MPH Capstone is an opportunity for students to work on public health practice projects that are of particular interest to them. The goal is for students to apply the skills and competencies they have acquired to a public health problem that simulates a professional practice experience.

Teaching Assistant (TA) for PhD students in Health, Behavior and Society

Introduces MHS Social Factors students to hands-on social science research for public health. Provides an opportunity to work extensively with a doctorally trained research mentor. Prepares students to participate in social science research initiatives. Builds students' research knowledge and skills.

Explores and debates theoretical concepts and orientations in the social and behavioral sciences and their application to public health research and practice through readings, discussion, and writing assignments.

Explores faculty-student-community partnerships in community-based participatory research (CBPR) practice and education. Includes seminar topics: CBPR principles and ethics, coalition and partnership building, implementation, dissemination, translation and sustainability, media and marketing, advocacy, policy, cultural diversity, collaborative grant writing, and publishing. Includes faculty and local community activists and collaborators as speakers.

Explores and critiques social and behavioral sciences research and practice, emphasizing key constructs and methods of department faculty through presentations, readings, and group discussions.

Provides an opportunity for students, postdoctoral trainees, and faculty to present scientific papers from the current and/or classic health disparities literature. Emphasizes presentation skills and the ability to critically evaluate scientific papers. Requires participants to read and discuss the assigned material.

Introduces a variety of topics important to the profession of health education and health promotion, including both historical and current issues. Presents role definitions and competencies, health education certification, professional organizations representing the field, and other health education and promotion resources. Prepares students for the field placement requirement in the second year of the program.

Prepares students to fully understand the MSPH field placement requirements, processes, and opportunities, so that they may make the most of this professional preparation opportunity..

Explores program planning application through project-based experiential learning. Includes work in small groups to apply the PRECEDE-PROCEED needs assessment planning framework in a real world setting with a community-based organization or local government agency. Focuses on the basic methods of working with communities and community organizations, types of needs assessment tools, and the skills needed to develop these tools, through four seminar sessions and weekly sessions with community based organization representatives.

Prepares students to fully understand the MSPH field placement requirements, processes, and opportunities, so that they may make the most of this professional preparation opportunity.

Provides opportunities to discuss issues and concepts related to Implementation Science. Discusses evaluation of existing research, identification of gaps and topics, and design of research projects. Facilitates preparation for the comprehensive written exams, the design and conduct of practicum projects, preliminary oral exams, dissertation projects, and the final oral exam. Provides opportunities to present work-in-progress on overall projects, on specific research methodologies and to give and receive peer feedback. Emphasizes clear communication of ideas.

Introduces students to social science concepts in public health and to ongoing social factors research at JHSPH. Introduces students to key concepts and tools necessary to successfully complete the MHS in Social Factors in Health degree program.

Provides additional skills in social science concepts for public health research. Introduces research methods for social factors research. Identifies current social factors research of interest to students.

Upon successfully completing this course, students will be able to: 1) Identify a range of social scientific research approaches adopted by public health agencies. 2) Identify a range of public health agencies where social science research is conducted.

Advances students' understanding of the relationship between social factors and health outcomes and experiences. Exposes students to research pertinent to social factors in health. Provides MHS students with opportunities to explore applications of public health research skills in a variety of research and practice settings.

Provides opportunities to discuss issues and concepts related to students’ specialized areas of focus. Discusses evaluation of existing research, identification of gaps and topics, and design of research projects. Facilitates preparation for the comprehensive written exams, the design and conduct of practicum projects, preliminary oral exams, dissertation projects, and the final oral exam. Provides opportunities to present work-in-progress on overall projects and on specific research methodologies and to give and receive peer feedback. Emphasizes clear communication of ideas.

Provides first-year genetic counseling students with opportunities to explore and practice clinical genetic counseling and communication skills. Serves as a bridge between Practical Genetic Counseling and the first clinical placement, with a focus on prenatal genetic counseling. Participates in synchronous weekly meetings, assignments, and encounters with simulated patients (SPs) to develop skills in giving and receiving feedback in the form of self-assessment, peer assessment, preceptor assessment, and standardized patient assessment.

Aims to equip graduate students enrolled in the JHU/NIH Genetic Counseling Training Program with the basic knowledge needed to enter into clinical genetic counseling rotations in a variety of settings. Introduces the most common categories of genetic conditions associated with each body system using a series of modules. Provides an overview of the functioning of the relevant body system prior to covering the phenotypic features of the most common categories of hereditary conditions of relevance to that system. Includes topics: clinical presentation, considerations for family and medical history-taking and optimal diagnostic strategies.

Aims to equip graduate students enrolled in the JHU/NIH Genetic Counseling Training Program with the basic knowledge needed to enter into clinical genetic counseling rotations in a variety of settings. Introduces the most common categories of genetic conditions associated with each body system using a series of modules. Provides an overview of the functioning of the relevant body system prior to covering the phenotypic features of the most common categories of hereditary conditions of relevance to that system. Includes topics: clinical presentation, considerations for family and medical history-taking and optimal diagnostic strategies.

415.610 addresses the chromosomal basis of heredity, chromosomes and genes, tools of human molecular genetics, single gene inheritance, variation, polymorphism and mutation, genes in populations and genes in families. 415.611 presents the role of genetic counseling in health care and emphasizes the essential components of prenatal, pediatric, and adult genetics services. Indications for referral and genetics education and counseling components are illustrated using care examples. Clinical skills and tools are taught including family, medical and development history taking and pedigree construction. Additional case management skills such as the choice of laboratory and test interpretation, and issues in billing and reimbursment of genetic counseling services are addressed. 415.612 -613 expand on the previous two courses to examine the Hemoglobinapathics and Thalassemias as models of molecular pathology, the molecular/biochemical basis of genetic disease, genetics of cancer, gene mapping

Provides a foundation in medical genetics. Focuses on teaching genetic disorders using a systems approach. Presents an overview of the disease process and differential diagnosis of related genetic disorders. Includes the following topics: birth defects/embryology, prenatal diagnosis, pulmonary disorders, muscle diseases, hemoglobinopathies, ocular diseases, kidney disorders, craniosynostoses, skin disorders, deafness, because knowledge of the genetic contribution to disorders within these categories is critical to the work of genetic counselors and medical geneticists. Prepares students for the board certification exam given by the American Board of Genetic Counseling upon completion of the ScM in genetic counseling.

Builds upon the material in 415.613, and emphasizes other organ systems. Includes a patient panel where individuals discuss the impact of a genetic disorder on their lives and the lives of their family. Includes the following topics: neurogenetics, cardiac defects, cancer genetics, orofacial clefting, genitourinary disorders, skeletal dysplasias, connective tissue disorders because knowledge of the genetic contribution to disorders within these categories is critical to the work of genetic counselors and medical geneticists. Prepares students for the board certification exam given by the American Board of Genetic Counseling upon completion of the ScM in genetic counseling.

Compares definitions of genetic counseling (GC) with objectives and service outcomes. Explores counselor values as they relate to roles and responsibilities toward clients. Introduces ethical and policy issues specific to GC in conjunction with a research agenda. Discusses and practices basic tools, including interviewing, history gathering, and case assessment, and nondirective counseling approaches.

Compares definitions of genetic counseling (GC) with objectives and service outcomes. Explores counselor values as they relate to roles and responsibilities toward clients. Introduces ethical and policy issues specific to GC in conjunction with a research agenda. Discusses and practices basic tools, including interviewing, history gathering, and case assessment, and nondirective counseling approaches.

Examines the ethical, legal and social implications (ELSI) of human genetics and genomics through the lens of significant and field-defining periods and events in the history of the field. Examines the ELSI raised by those events, and how the events have shaped and defined the current state of the science and emerging scientific, ethical, policy and public health issues.

Equips graduate students enrolled in the JHU/NHGRI Genetic Counseling Program with an applied psychological paradigm for genetic counseling. Defines and illustrates goals and the process of genetic counseling. Teaches students skills to assess clients' cognitive and affective responses to the genetic contribution to disease and risk. Defines components of a therapeutic relationship. Allows opportunities to practice establishing and acting on a therapeutic relationship.

Provides a foundation in cognitive, emotional, and motivational processes underlying judgment and decision making in a variety of health contexts. Focuses on antecedents and consequences of adaptive and maladaptive health judgments and decisions, with particular attention to risk perception and communication, application of decisional heuristics, and personal beliefs underlying health decisions. Considers how people make decisions, how they respond to health information, and how they mentally represent illness, as well as how health teams make decisions. Prepares students to apply basic research on health judgment and decision-making to effective genetic counseling and other applied settings.

Equips graduate students enrolled in the JHU/NHGRI genetic counseling program with principles of genetic components to common diseases, using cancer as the example for this course. Introduces key concepts throughout the course through case-based learning.

Aims to expose first-year ScM Genetic Counseling students to novel and emerging technologies in oncology. Evaluates the relevance of these technologies to genetic counseling practice. Familiarizes genetic counseling students with the emerging tools and clinical reasoning associated with new technologies for tumor profiling, genome-guided cancer prevention, and treatment.

Explores interactive genetic counseling interventions as they apply to specific clinical settings and client needs. Presents key issues in client education for various medical specialties, and identifies research needs related to genetic counseling. Examines counseling issues through the use of role-plays.

This literature-driven course applies interactive genetic counseling techniques to specific settings and client needs. Faculty and students present key issues in client education for various medical specialties, and identify research needs related to genetic counseling. Explores counseling issues through role-play.

Examines advances in the diagnosis of genetic disorders and treatments that result from genomic medicine. Focuses on examples from multiple malformation syndromes, autoinflammatory diseases, deletion/duplication syndromes, and Ras-opathies.

Examines advances in the diagnois of genetic disorders and treatments that result with a focus on neurocutaneous syndromes, muscular dystrophies, connective tissue disorders and ciliopathies. Both terms aim to prepare students for the board certification exam given by the American Board of Genetic Counseling upon completion of the ScM in genetic counseling.

Clinical placements in adult, pediatric, and prenatal genetic centers in the Baltimore-Washington area provide opportunity to learn about genetic conditions by their impact on individuals and their families, and about roles of the genetic counselor. Individual rotations are scheduled to achieve a wide range of clinical experiences.

This is the third of a series of three courses designed to provide students with the skills needed to turn a research idea into a formally presented and orally defended thesis proposal. In this final course of the series, students will refine their working proposal for submission to the Executive Committee and prepare for the oral examination. They will be expected to have turned a nascent research idea into a workable proposal for the conduct of a research study that will constitute the ScM thesis.

Introduces the field of planetary health as it relates to the health of low and middle income countries and US tribal areas. Explains how climate, environmental factors, human health and animal health are measured and studied globally. Discusses methods and challenges in the study of global climate change and its affect on health.

Introduces the core functions of public health and the core competencies for public health professionals. Students assess their strengths and academic goals while building their toolbox of public health competencies. Uses case studies to examine the application of the competencies in public health practices. Provides an opportunity to apply knowledge by working in teams to assess a public health problem and propose potential solutions.

Introduces MPH students to the many opportunities in public health policy to improve the health of populations in communities around the world. Focuses on identifying decision-makers, framing problems and key questions, developing and evaluating policy options, and advocating for change. Provides an introduction to some major policy challenges facing public health, such as inequity, injury, tobacco, nutrition, addiction, and violence.

Introduces the challenges and rewards of public health practice. Presents and discusses the core functions and essential services of public health in the context of real world practice examples. Provides opportunities for application of the core competencies of public health professionals. Prepares students for their practicum experience.

Studies the phenomenon of crises in public health. From a historical perspective, demonstrates how much of U.S. public health policy traces back to crises and responses that riveted public attention. Explains how substantial increases in FDA authority came about through serial crises in drug, device, food and tobacco markets. Shows that modern vaccine infrastructure emerged out of both disease and vaccine-related crises. From a management perspective, reviews how public health leaders at all levels respond to crises – the good, the bad and the ugly. From a strategic perspective, explores how health officials effectively manage crisis and response in order to win significant policy advances.

Focuses on the organization, financing, and delivery of healthcare in the U.S. Contrasts the private and public sectors and examines the effects of market competition and government regulation. Examines the ways that medical providers are paid, and explores the major issues currently facing physicians, hospitals, and the pharmaceutical industry. Discusses several potential small and large scale reforms to the U.S. healthcare system and evaluates their likely effects on healthcare spending, quality of care, and access to care.

Discusses the importance of clearly articulating a research question and its associated aims. Reviews search strategies and data bases for a literature review and critical appraisal. Critically examines how students can design research plans to answer their research questions, provides tips for formulating a conceptual framework, define variables and decide how to measure them and select the most appropriate study design (taxonomy).

Considers theories, strategies, and participants involved in formulating health and social policies. Discusses defining health and social problems, selecting and assessing policy options, and the role of stakeholders in policy process, as well as the context in which policy decisions are made. Analyzes case studies, discusses theories, participates in service-learning projects and writing exercises.

Introduces basic principles and methods for undertaking scientifically rigorous research with a special emphasis on evaluations of interventions intended to improve health and safety. Focuses on evaluations of policy, health care delivery systems, and public health programs. Topics include the evaluation and health policy analysis; common research designs and their strengths and weaknesses; and internal and external validity with the intent of giving students the fundamental tools needed to conduct health policy evaluations and/or making them better consumers of research conducted by others.

Introduces basic principles and methods for undertaking scientifically rigorous research with a special emphasis on evaluations of interventions intended to improve health and safety. Focuses on evaluation of health policies, health care delivery systems, and public health programs. Topics include the relationship between health services research, health policy research, health policy analysis and health program management; common research designs and their strengths and weaknesses; internal and external validity; survey research techniques; qualitative research methods; and basic cost effectiveness analysis with the intent of making students better conductors of research.

Familiarizes students with some of the foundational readings in health policy and provides an understanding of the theories and conceptual frameworks used in the development, implementation and analysis of health policies. Explores how different disciplines (political science, ethics, law, economics, sociology, behavioral sciences and history) inform thinking about the development, implementation and analysis of health policies that make a difference in the public’s health. Emphasizes critical reading and thinking, informed debate with respect for a range of opinions, and communication skills.

Familiarizes students with some of the foundational readings in health policy and provides an understanding of the theories and conceptual frameworks used in the development implementation and analysis of health policies. Explores how different disciplines (political science ethics law economics sociology behavioral sciences and history) inform thinking about the development implementation and analysis of health policies that make a difference in the public’s health. Emphasizes critical reading and thinking informed debate with respect for a range of opinions and communication skills.

Familiarizes students with some of the foundational readings in health policy and provides an understanding of the theories and conceptual frameworks used in the development, implementation and analysis of health policies. Explores how different disciplines (political science, ethics, law, economics, sociology, behavioral sciences and history) inform thinking about the development, implementation and analysis of health policies that make a difference in the public’s health. Emphasizes critical reading and thinking, informed debate with respect for a range of opinions, and communication skills.

Supplements and builds upon the course entitled Health Policy Analysis and Synthesis. Students analyze and discuss in depth the materials presented in that course.

Provides a small class-size, doctoral-focused experience and examines some of the most common data sources used in the field to study health policy and management research topics. Emphasizes secondary data sources and discusses: (1) data structure and challenges with conducting research with secondary data; (2) developing research questions and testable hypotheses using these data sources; (3) strategies for data cleaning, work flow management, and replication; (4) data protection and storage related concerns; and (5) orally communicating strengths and weaknesses of datasets in the context of research talks. Exposes doctoral students to faculty research projects and the specific datasets being used to conduct this research.

Offers students opportunities for exploring how to design, develop, deliver, and evaluate educational approaches for a range of audiences and to attain professional aims. Considers a variety of approaches for integrating educational practices and strategies into professional practice. Engages students in developing educational philosophies and reflecting upon personal educational experiences and use of educational approaches for professional and leadership advancement. Presents strategies for designing an educational plan.

The MPH Capstone is an opportunity for students to work on public health practice projects that are of particular interest to them. The goal is for students to apply the skills and competencies they have acquired to a public health problem that simulates a professional practice experience.

Provides students with a comprehensive understanding of the communication pitfalls that can contribute to error and preventable harm in healthcare. Teaches ten misconceptions about communication that frequently cause interpersonal failures in communication, and how certain aspects of the healthcare setting facilitate their occurrence. Teaches specific interpersonal communication practices that are prone to failure, and how to replace them with five “safe communication” competencies that help them communicate more reliably and support safe, high-quality care.

Reviews basic skills of public health policy and politics, including key definitions and principles, assessing policymakers, formulating and analyzing policy questions, and advocating for change. Discusses challenges of policy discussion amid a sea of misinformation and disinformation and the decline in traditional news media, as well as new opportunities for working with nontraditional media to advance consideration of major public health policy issues.

Studies contemporary U.S. media through the lens of public health. Analyzes the economic, social and political forces behind the changing media landscape. Provides insight into how news is gathered and how coverage decisions are made. Reviews the current media landscape, provides insight on problems and potential solutions, with specific lessons for practitioners in public health.

Faculty experts present public health topics of current interest in both industrialized and developing nations, such as health promotion and disease prevention, health care delivery systems, environmental problems and the spectrum of factors influencing the health status of populations and communities.

Provides PhD students in HPM with an integrated, research experience, applying coursework and theory to real-world settings. Places students based on their individual goals and interests.

This course is the first in the 2-term Health Policy and Management proposal writing course designed to assist doctoral students in developing their dissertation proposals through updates and discussion of progress, and faculty lectures on relevant topics. Classes during both terms are structured to cover major components of the proposal including, thesis topics and conceptualization, specific aims, hypotheses, methods (including study design, data, etc.), and logistical aspects of the oral examination process. Evaluation will be based on class participation and progress made on the student’s own dissertation proposal demonstrated by student presentations and written assignments.

Addresses the nature of racial and ethnic disparities in health status and introduces the research literature on race disparities. Develops an annotated bibliography of research on a minority health topic selected by the class and produces a literature review on that topic.

Provides an overview of the history and evolution of policing in the United States and the intersections between policing and public health. Considers both short- and long-term policing impacts, both positive or negative, on the health and safety of communities and individuals through various interactions with the public. Explores how public safety is reimagined through a public health lens to understand the impacts of police on social determinants of health, justice, and equity. Examines needed reforms, police-community relationships, and strategies to co-create public safety

Provides an introduction to advocacy concepts and real-world applications. Provides foundational advocacy skills related to developing a campaign for policy change, leveraging the media, and working with legislators. Includes guest lectures from public health professionals participating in advocacy activities in each of the five Bloomberg American Health Initiative Focus Areas.

Prepares public health professionals, (including government officials, health care providers, business leaders, non-profit organization representatives and scientists) to advance public health policy improvements through written and oral advocacy. Uses lectures, group exercises, and a "mock" congressional hearing, to develop the skills to evaluate the policymaking process, create opportunities to inform and influence policymaking, and become more effective in translating and communicating in a policymaking environment.

Provides a foundation of data, theory and perspectives on understanding gun violence within the United States. Students apply common public health methods for assessing risk and protective factors for multiple forms of gun violence at many levels (individual, family, community), assessing available evidence on prevention options, and determining how to enhance population-level success. Provides an understanding of the legal, political, and institutional constraints and opportunities for enacting policies to curb gun violence. Opportunities to develop plans to prevent gun violence with examples dealing with urban gun violence, domestic violence, and situations in which someone is threatening to commit an act of gun violence (e.g., school or workplace shooting) and develop creative public health alternatives to current approaches to gun violence that promote equity and justice as well as safety will be available.

Considers the contradictory role of public health research in the U.S. policy making process. Examines the question of when does research influence the policy-making process and how is it verified and what role can and should researchers play in the process.

Provides students with a working knowledge of NGOs and CBOs in health and public health, both domestically and internationally. Acquires on-the-ground insights and skills important to those planning a public health career from public health research, to service delivery, to health policy and management, both novice and expert. Presents the roles of CBOs/NGOs in a variety of arenas, including infectious disease control, environmental health, and disaster and humanitarian response. Provides basic skills and lessons, from starting and sustaining an organization, to working with CBOs/NGOs to achieve and maximize the success of your particular public health goals. Discusses the roles of CBOs/NGOs within the larger contexts of globalization, world politics, and social development. Includes guest lectures from domestic and internationally recognized organizations such as the American Red Cross, the National AIDS Fund, and the Center for Disaster and Humanitarian Assistance Medicine.

Reviews and critiques current literature in health and public policy and evaluates studies from a methodological and conceptual basis.

Acquaints participants with the critical role states play in developing and implementing policies that affect both health and health care. Reviews how the role of states has evolved within the US federal system of government where states and the national government both have significant responsibilities. Drawing upon the experience of implementing the health insurance exchanges in Maryland and Alabama, participants assess how state differences affect the implementation of a major new national health program--the Affordable Care Act.

Examines crises from the point of view of an agency leader responsible for designing and implementing an effective response while maintaining credibility and securing long-term policy change. Discusses recent crises including: global response to Ebola and Zika, responses to regulatory failures, foodborne outbreaks, and vaccine controversies. Offers students an opportunity to apply their knowledge by proposing a crisis response plan for a public health agency

Examines crises from the point of view of an agency leader responsible for designing and implementing an effective response while maintaining credibility and securing long-term policy change. Discusses recent crises including: global response to Ebola and Zika, responses to regulatory failures, foodborne outbreaks, and vaccine controversies. Offers students an opportunity to apply their knowledge by proposing a crisis response plan for a public health agency.

Employs both lecture and interactive formats to explore the nature of the public health policy process, including how policy is a reflection of knowledge, political will and social strategy. Through presentations by instructors and guest speakers, offers examples of public health policy development highlighting the intersection of science and politics. Deepens and enriches the learning process through field trip(s) that actively engage students with Washington, D.C. public health advocates and policy makers with varying policy roles and perspectives.

Follows key public health legislation throughout all steps of the Maryland legislative session to foster student learning about how the process works and key factors that impact policy debates and outcomes.

Addresses prominent sources of injury, including motor vehicles, falls, fires, and firearms. Explores the biological, behavioral, and social issues relating to injury and violence prevention and policy. Emphasizes basic strategies for preventing injuries and deaths in the workplace, home, travel, and recreation, and the relative effectiveness of various types of approaches.

Provides a link between the public health approach to injury prevention, the traditions of safety science and engineering, and their relationship with ergonomics and biomechanics. Topics covered include identifying the injury problem; using surveillance and record-keeping systems; preventing injuries by government, unions, health departments, and industry; and comparing safety sciences and a public health approach to injury prevention.

Examines the complex interplay between clinical preventive medicine, population medicine, and the practice of public health. Covers core topics for practice and for the preventive medicine board examination: prevention at the individual and community level; the evidence-based policy approach to prevention; and the creation and use of clinical governance standards and practice guidelines for prevention. Covers high-yield topics in short modules that focus on a clinical prevention frame, including the latest science and best practices in integrative medicine, chronic diseases, communicable diseases, injury and violence prevention. Covers prevention-based approaches to various issues of public health significance including the use of: mind-body medicine, lifestyle medicine, diet and nutrition wellness, motivational interviewing and health coaching, and evidence-based complementary and alternative medicine.

Provides an overview of the significant role of national politics on transportation safety policy in the United States. Using case studies of notable safety enhancement efforts in aviation, highway, and other transportation modes, students discover the significant roles and interactions of lobbyists, industry associations, politicians, and Federal Agencies in transportation safety research and subsequent safety improvement rulemaking. Through informal lectures, readings and a field trip to the Baltimore Washington International airport tower, students learn that transportation safety and injury prevention improvements often require significant efforts to successfully navigate the path from research findings to interventions that improve the traveling public's safety and health.

Since health impact assessment (HIA), is an approach that informs decision-makers about the potential health effects of proposed projects, programs, and policies made in areas outside of the health sector (e.g., education or housing), students learn about HIA through readings, lectures, and hands-on experience. Students study the rationale for conducting HIAs, review a range of analytic methods used to conduct HIAs analyze cases from international and domestic settings, understand its role in policymaking, and walk through the steps of how to conduct a HIA. Students then apply these skills through working on a HIA with a partnering organization.

Weekly seminar advances understanding of injury, violence, and resulting disabilities as public health problems. Topics include methodological approaches, substance use and overdose, occupational injury, violence prevention, and disability. Emerging topics as well as the application of policy, law and practice for injury and violence prevention are considered.

Provides an overview of the various manners in which the road traffic infrastructure and environment may contribute to the occurrence of accidents and injuries and also to social inequalities in mobility and safety. Examines analytic methods related to injury research and prevention using examples from both LMICs and HICs

Broadens, advances, and challenges existing skills and knowledge of injury prevention students and/or multi-disciplined injury prevention practitioners. Elaborates on the 9 Core Competencies for Injury and Violence Prevention, as developed by the SAVIR-STIPDA Joint Committee on Infrastructure Development. In addition to interactive lecture, students are given as many opportunities as possible, within the constraints of the 2-day training, to practice skills through practical application sessions for a facilitated hands-on, skills-development experience.

Provides advanced training in overdose prevention. Covers the epidemiology of overdose, leading drugs and drug combinations that contribute to overdose, surveillance of fatal and nonfatal overdose, prevention strategies, and promising policies.

Introduces MPH students to the basic principles and frameworks for research and public health ethics as well as concepts in professional and research integrity as a public health professional. Explores both domestic and global health examples. Focuses on introductory material on public health ethics, research ethics and professional integrity.

Introduces non-lawyers to the important role played by the law in determining the public's health. Analyzes judicial opinions, statutes, and regulations in classroom discussions. Covers substantive law and policy topics including the balance between individual rights and public health initiatives, privacy, environmental health law/policy, vaccine law/policy, and the role of public health agencies.

Examines the ways in which the state regulates intimate and private relations and the justifications for such regulation. Particularly focuses on the attention paid to the public health and morality justifications offered by the state for the enactment and enforcement of privacy laws. Topics include: when state regulation of intimate decisions, actions and relationships is justified; the regulation of consensual sexual activity; the regulation of contraception and abortion; the regulation of same-sex sexual activity; and the regulation of same-sex marriage.

Explores the important and expanding role that regulatory or administrative agencies, such as FDA and EPA, play in protecting and promoting the public’s health. Examines agencies’ ability to create and implement health policy, and discusses the legal limits on agency powers. Discusses how agencies develop regulations and employ other regulatory tools. Uses case studies to illustrate key concepts, such as the role of science in the regulatory process and the influence of politics on agency actions. Class sessions involve the interpretation and analysis of judicial opinions, regulations, and other administrative materials. Focuses on U.S. regulatory policy, but also examines examples and implications for international health policy. This course builds on the skills introduced in 306.650, and exposes students to new public health law and policy topics relevant to regulatory agencies.