Schedule

This page contains a schedule of the topics, content, and assignments for the term, organized by module.

You should follow this general process for each module

  • Do the reading before the corresponding Monday’s Lecture
  • Complete the lab report within one week from the assignment date
  • Submit the project progress report one week after the end of a module


There are seven modules in this course:

Note that this schedule will be updated as necessary throughout the term.

Week Date Topic Slides Lab HW Reading
Overview
1 9/15/25 Course Overview
1 9/16/25 Computing setup
1 9/17/25 Framing a decision analysis
1 9/19/25 Python and GitHub Bootcamp
Uncertainty
2 9/22/25 Shallow and deep uncertainties
2 9/23/25 Python and GitHub Bootcamp II
2 9/24/25 Deep uncertainty game
2 9/26/25 MSD UC/UQ tutorials
RDM
3 9/29/25 Robust decision-making
3 10/1/25 Case study
3 10/3/25 Potential pitfalls of predict-then-act
Trade-offs
4 10/6/25 DA in a pluralistic society
4 10/8/25 Case study
4 10/10/25 Navigating trade-offs
5 10/13/25 MORDM
5 10/15/25 Case study
5 10/17/25 Case study
DMDU
6 10/20/25 Direct policy search
6 10/22/25 Adaptive policies
6 10/24/25 Lab continued
7 10/27/25 Revisiting decision analysis framing
7 10/29/25 Case study
7 10/31/25 Case study
8 11/3/25 Case study
8 11/5/25 Practice presentations
8 11/7/25 Practice presentations
Gaps
9 11/10/25 More useful decision analysis
9 11/12/25 Case study
9 11/14/25 Presentations
Projects
10 11/17/25 Presentations
10 11/18/25 Presentations