Computational Medicine, Minor

Department website: https://icm.jhu.edu/

The Institute for Computational Medicine (ICM) offers an undergraduate minor in Computational Medicine, the first educational program in CM, reflecting Johns Hopkins University’s leadership in this field. Like the ICM, the undergraduate minor in Computational Medicine is integrative and multidisciplinary. The ICM Core Faculty who serve as advisors to the undergraduate minor hold primary and joint appointments in multiple Johns Hopkins University departments and schools including Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Applied Mathematics and Statistics (WSE); Neurosurgery, Emergency Medicine, Medicine, and the Divisions of Cardiology and Health Sciences Informatics (SOM); and Health Policy and Management (BSPH).

With a minor in CM, undergraduates gain a solid grounding in the development and application of computational methods in key areas of medicine. Specifically, undergraduates will understand how mathematical models can be constructed from biophysical laws or experimental data, and how predictions from these models facilitate the diagnosis and treatment of a disease. Undergraduates will become conversant with a wide variety of statistical, deterministic, and stochastic modeling methods, skills that are essential to the advancement of modern medicine, and are prized both in academic research and industrial research.

Declaring the Minor

Students interested in the minor should contact the Senior Academic Program Coordinator to receive guidance about the program and be assigned a minor advisor.

The information below describes the academic requirements for students entering JHU as degree-seeking students in Fall 2024.  Students who entered JHU as degree-seeking students prior to Fall 2024 should view the appropriate archived catalogue.

MINOR PREREQUISITES

Course List

Code	Title	Credits
AS.110.108	Calculus I (Physical Sciences & Engineering)	4
AS.110.109	Calculus II (For Physical Sciences and Engineering)	4
EN.553.311	Intermediate Probability and Statistics	4
or EN.553.420 & EN.553.430	Probability and Mathematical Statistics
One additional course from Math (AS.110) or Applied Math & Statistics (EN.553) department		3-4
One Computer Programming course from the following:		3-4
EN.500.112	Gateway Computing: JAVA
or EN.500.113	Gateway Computing: Python
or EN.500.114	Gateway Computing: Matlab
EN.553.385	Introduction to Computational Mathematics
EN.601.220	Intermediate Programming
EN.601.226	Data Structures
One Biological Science Course from the following:		3-4
AS.020.303	Genetics
AS.020.305	Biochemistry
AS.080.305	Neuroscience: Cellular and Systems I
AS.250.253	Protein Engineering and Biochemistry Lab
AS.250.315	Biochemistry I
AS.171.310	Biological Physics
AS.250.253	Protein Engineering and Biochemistry Lab
EN.580.221	Biochemistry and Molecular Engineering
Total Credits		21-24

MINOR REQUIREMENTS

The CM minor requires 18 credits. A grade of C- or higher is required for all courses. No Satisfactory/Unsatisfactory (S/U) grade is accepted. Details of these requirements are as follows:

Core Courses

Course List

Code	Title	Credits
EN.580.431	Introduction to Computational Medicine: Imaging	2
EN.580.433	Introduction to Computational Medicine: The Physiome	2
Complete one course from the following:		3-4
AS.110.445	Mathematical and Computational Foundations of Data Science
EN.553.450	Computational Molecular Medicine
EN.580.430	Systems Pharmacology and Personalized Medicine
EN.580.447	Computational Stem Cell Biology
EN.580.458	Computing the Transcriptome
EN.580.488	Foundations of Computational Biology and Bioinformatics
EN.601.649	Computational Genomics: Applied Comparative Genomics
PH.140.628	Data Science for Public Health I
or PH.140.629	Data Science for Public Health II
Total Credits		7-8

Elective Courses

No more than 3 independent research credits in computational medicine may be applied at the advisor's discretion. A course may not count for multiple requirements toward the minor. At least one course must be outside of the student's primary major department. 

Course List

Code	Title	Credits
At least two courses from M Designation (see below for course listings)
At least one course from C Designation (see below for course listings)
Total Credits		10-11

Elective Course Listings 

Significant Biology/Medicine Component (M)

Course List

Code	Title	Credits
EN.520.315	Intro. to Bio-Inspired Processing of Audio-Visual Signals	3
EN.520.621	Introduction To Nonlinear Systems	3
EN.530.343	Design and Analysis of Dynamical Systems	3
EN.530.410	Biomechanics of the Cell	3
EN.530.616	Introduction to Linear Systems Theory	3
EN.530.676	Locomotion Dynamics & Control	3
EN.540.421	Project in Design: Pharmacodynamics	3
EN.553.391	Dynamical Systems	4
EN.553.426	Introduction to Stochastic Processes	4
EN.580.430	Systems Pharmacology and Personalized Medicine	4
EN.580.435	Applied Bioelectrical Engineering	3
EN.580.439	Models of the Neuron	4
EN.580.447	Computational Stem Cell Biology	3
EN.580.448	Computational Genomics: Data Analysis	3
EN.580.460	Epigenetics at the Crossroads of Genes and the Environment	2
EN.580.462	Representations of Choice	3
EN.580.464	Advanced Data Science for Biomedical Engineering	4
EN.580.473	Dynamic Modeling of Infectious Diseases in Patients and Populations	2
EN.580.480	Precision Care Medicine I	4
EN.580.481	Precision Care Medicine II	4
EN.580.488	Foundations of Computational Biology and Bioinformatics	3
EN.580.561	Advanced Focus Area Research	3
EN.580.689	Modern Optical Microscopy: Theory and Practice	3
EN.601.350	Genomic Data Science	3
EN.601.447	Computational Genomics: Sequences	3
EN.601.649	Computational Genomics: Applied Comparative Genomics	3
EN.660.347	Action Lab	3
ME.250.771	Introduction to Precision Medicine Data Analysis	1.5

Significant Computational Component (C)

Course List

Code	Title	Credits
AS.050.375	Probabilistic Models of the Visual Cortex	3
AS.250.302	Modeling the Living Cell	4
EN.520.315	Intro. to Bio-Inspired Processing of Audio-Visual Signals	3
EN.520.353	Control Systems	4
EN.520.621	Introduction To Nonlinear Systems	3
EN.520.432	Medical Imaging Systems	3
EN.520.433	Medical Image Analysis	3
EN.520.439	Machine Learning for Medical Applications	3
EN.530.343	Design and Analysis of Dynamical Systems	3
EN.530.410	Biomechanics of the Cell	3
EN.530.616	Introduction to Linear Systems Theory	3
EN.540.409	Dynamic Modeling and Control	4
EN.540.414	Computational Protein Structure Prediction and Design	3
EN.540.421	Project in Design: Pharmacodynamics	3
EN.553.361	Introduction to Optimization I	4
EN.553.391	Dynamical Systems	4
EN.553.426	Introduction to Stochastic Processes	4
EN.553.430	Mathematical Statistics	4
EN.553.436	Introduction to Data Science	4
EN.553.492	Mathematical Biology	3
EN.580.430	Systems Pharmacology and Personalized Medicine	4
EN.580.437	Biomedical Data Design	4
EN.580.438	Biomedical Data Design II	4
EN.580.439	Models of the Neuron	4
EN.580.447	Computational Stem Cell Biology	3
EN.580.460	Epigenetics at the Crossroads of Genes and the Environment	2
EN.580.462	Representations of Choice	3
EN.580.464	Advanced Data Science for Biomedical Engineering	4
EN.580.473	Dynamic Modeling of Infectious Diseases in Patients and Populations	2
EN.580.480	Precision Care Medicine I	4
EN.580.481	Precision Care Medicine II	4
EN.580.488	Foundations of Computational Biology and Bioinformatics	3
EN.580.491	Learning, Estimation and Control	3
EN.580.689	Modern Optical Microscopy: Theory and Practice	3
EN.601.350	Genomic Data Science	3
EN.601.447	Computational Genomics: Sequences	3
EN.601.455	Computer Integrated Surgery I	4
EN.601.461	Computer Vision	3
EN.601.475	Machine Learning	3
EN.601.476	Machine Learning: Data to Models	3
EN.601.482	Machine Learning: Deep Learning	4
EN.601.649	Computational Genomics: Applied Comparative Genomics	3
EN.601.455	Computer Integrated Surgery I	4
EN.601.456	Computer Integrated Surgery II	3
EN.601.496	Computer Integrated Surgery II - Teams	3
PH.340.677	Infectious Disease Dynamics: Theoretical and Computational Approaches	4

Distinguished Seminar Series 

Students enrolled in the Computational Medicine Minor are required to attend six ICM Distinguished Seminars in person prior to graduation. Documentation of seminar attendance is two-fold. For each seminar attended students must:

1. Attend seminars in person and sign-in on the attendance sheet. For AY2024- 2025, seminars will take place on the first Tuesday of each month during the semester from 4:00 pm - 5:00 pm in Clark 110.
2. Complete a Seminar Attendance Form using your JHU email.