Courses Taught by Michael Hayashi
EPID633: Introduction to Mathematical Modeling in Epidemiology and Public Health
- Graduate level
- Residential
- Fall term(s) for residential students;
- 3 credit hour(s) for residential students;
- Instructor(s): Michael Hayashi (Residential);
- Offered Every Fall
- Prerequisites: None
- Description: This course serves as a basic introduction to math modeling in epidemiology, with examples drawn broadly from infectious disease, chronic disease, and social epidemiology. The goal of this course is to give students basic familiarity with a wide range of topics and methods in mathematical modeling for epidemiology.
- Syllabus for EPID633
EPID637: Systems Modeling Of Behavior, Social Processes And Chronic Disease
- Graduate level
- Residential
- Winter term(s) for residential students;
- 3 credit hour(s) for residential students;
- Instructor(s): Michael Hayashi (Residential);
- Prerequisites: None
- Description: This course covers applications of mathematical and computational modeling to behavior, social processes, and chronic disease. Methods include game theory, agent-based, and network modeling, and natural history models of chronic diseases. Students will learn to develop models in Python. Coursework includes computer lab exercises and a final modeling project.
- Syllabus for EPID637