Course Materials

Organized by type:

Course schedule

Topics are subject to change and rearrangement!

1. Compartmental Models and DAGs

2. Parameter Estimation and Maximum Likelihood

3. Uncertainty and Identifiability

5.5 A little more Bayesian stuff (see Section 5 also)

8. Data scraping and general wrangling (e.g. twitter scraping, MMWR scraping)

9. Stochastic processes and stochastic modeling methods

Maybe include

  • Gillespie & Tau-leaping (Alicia?)

10. Additional Topics
  • Spatial modeling & spatial stats

  • Network models - particularly integrating statistics with network models and data

  • Working with sequencing data