Courses
Emphasis is placed on the fundamental biological processes underlying oncogenesis, and factors affecting the progression of various neoplastic diseases. A basic foundation will be developed that will permit the student to approach various aspects of oncology including epidemiology, carcinogenesis, environmental issues, biologic behavior of the neoplastic cell, and the rationale for the use of various treatment modalities with understanding.
Selected timely topics relevant to novel diagnostic and treatment techniques being developed for the management of patients with cancer are considered with a view toward illustrating the underlying principles. Emphasis is placed on illuminating the chemical and biologic basis of therapeutics and their translation impact on clinical practice.
This course is designed to be highly translational, covering fundamental cancer molecular biology to the processes of transformation and metastases, and how targeted therapies emerge from new scientific knowledge. There are four modules: 1) Origins of Cancer; 2) Progression of Cancer; 3) Treatment; and 4) Prevention.
The Data Analysis using R course is a hands-on introduction to the R statistical software suite. We assume that you are familiar with the plots and statistical summaries that are commonly used in biomedical papers, but no formal background in statistics or programming is necessary. Most class sessions are conducted as labs, so please bring your laptop and power cord, and be prepared to jump right into data analysis. In this course, you will find a mix of contents on data visualization techniques, data structure, basic statistical concepts and programming, etc. We hope that you will get comfortable working with data, and through this course, you will learn useful data visualization/analysis techniques.