Yale Summer Course in Public Health Modeling

Apply:

https://web.cvent.com/event/f2d58236-f453-4165-a588-918374aefb56/summary

Prerequisites:

Attendees should be familiar with undergraduate mathematics, including calculus and basic statistics. Some experience with a flexible programming language (e.g. R, Python, Julia, MATLAB) is required. Attendees with a strong quantitative background in mathematics, statistics, engineering, economics, or computer science will be able to take advantage of more advanced course topics.

Learning Objectives:

1. Formalize hypotheses and intuition about health system dynamics into coherent mathematical models
2. Construct models of systems and processes in epidemiology, health economics/policy and biomedical science
3. Implement models in the R programming language
4. Calibrate models using rigorous tools from statistical inference
5. Generate predictions from models