Week-by-week schedule
Week-by-week schedule#
Note: Italicized text indicates planned topics, but subject to change.
Date |
Week |
Topic |
Milestones |
Materials |
|---|---|---|---|---|
Sep 30 |
1 |
Introduction, state space representation, coding basics |
||
Oct 7 |
2 |
Optimization |
||
Oct 14 |
3 |
Stability and invariance, Lyapunov and barrier functions |
Week 1-2 exercises due Thurs |
|
Oct 21 |
4 |
Value function, dynamic programming, Bellman equation |
Self-assessment due Thurs |
|
Oct 28 |
5 |
Markov Decision Process, POMDPs // Guest lecture: Dr. Liam Kruse |
Week 3-4 exercises due Thurs |
|
Nov 4 |
6 |
Linear quadratic regulator |
Self-assessment due Thurs |
|
Nov 11 |
7 |
(No lecture / Veterans Day) |
Week 5-6 exercises due Thurs |
|
Nov 18 |
8 |
Trajectory optimization, MPC, learning-based control |
Self-assessment due Thurs |
|
Nov 25 |
9 |
Kalman filter and Linear Quadratic Gaussian |
Week 8-9 exercises due Fri |
|
Dec 2 |
10 |
Research paper presentation |
Self-assessment due Fri |
|
Finals |
Video and feedback due |