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		Ex 1, lec01 (annotated), quiz0(sol0)
Oct 7	2	Optimization		Ex 2, Ex 3, lec02(annotated)
Oct 14	3	Stability and invariance, Lyapunov and barrier functions	Exercises 1,2,3 due Thurs	lec03(annotated), Ex 4, Ex 5, Ex 6
Oct 21	4	Value function, dynamic programming, Bellman equation	Self-assessment due Thurs	lec04(annotated), Ex 7, Ex 8
Oct 28	5	Markov Decision Process, POMDPs // Guest lecture: Dr. Liam Kruse	Exercises 4, 5, 6, 7, 8 due Thurs	Guest lecture, Ex 9
Nov 4	6	Linear quadratic regulator	Self-assessment due Thurs	lec06(annotated), Ex 10, Ex 11, Ex 12
Nov 11	7	(No lecture / Veterans Day)	Exercises 9, 10, 11, 12 due Thurs	lec07(annotated), HJ notebook
Nov 18	8	Trajectory optimization, MPC, learning-based control	Self-assessment due Thurs	lec08(annotated), Ex 13, Ex 14
Nov 25	9	Kalman filter and Linear Quadratic Gaussian		lec09(annotated)
Dec 2	10	Research paper presentation	Exercises 13 & 14 due Mon (Dec 1)
	Finals		Video and feedback due, Self-assessment due Mon (Dec 8)