Schedule

This schedule is subject to change as the semester progresses, but it will be kept up to date. Slides are linked from the lecture title. They will be made available on the day of the lecture.

wk	Date	Topic	Readings & Milestones
1	Thu, Sep 1	Introduction: Course Overview
2	Tue, Sep 6	Search: Graph Search	P&M §3.1–3.4
2	Thu, Sep 8	Search: Uninformed Search	P&M §3.5
3	Tue, Sep 13	Search: Heuristic Search 1	P&M §3.6 Assignment 1 released
3	Thu, Sep 15	Search: Heuristic Search 2	P&M §3.7–3.8 Example code: fringe.py
4	Tue, Sep 20	Search: Local Search	P&M §4.7
4	Thu, Sep 22	Uncertainty: Probability Theory	P&M §8.1
5	Tue, Sep 27	Uncertainty: Conditional Independence	P&M §8.2 Assignment 1 due
5	Thu, Sep 29	Uncertainty: Belief Networks	P&M §8.3
6	Tue, Oct 4	Uncertainty: Inference in Belief Networks	P&M §8.4
6	Thu, Oct 6	Uncertainty: Causal Inference	Bar §3.4
7	Tue, Oct 11	Supervised Learning: Introduction & Framework	P&M §7.1–7.3 Assignment 2 released
7	Thu, Oct 13	Supervised Learning: Linear Models & Overfitting	P&M §7.3–7.4
8	Tue, Oct 18	Supervised Learning: Bayesian Inference	P&M §10.4, §8.6
8	Thu, Oct 20	Deep Learning: Neural Networks	GBC §6.0–6.4.1
9	Tue, Oct 25	Deep Learning: Calculus Refresher	GBC §4.1, §4.3 Assignment 2 due
9	Thu, Oct 27	Deep Learning: Training Neural Networks	GBC §6.5
10	Tue, Nov 1	Deep Learning: Image Data	GBC §9.0–9.4 Assignment 3 released
10	Thu, Nov 3	MIDTERM	Assignment 3 released
	Tue, Nov 8	reading week, no class
	Thu, Nov 10	reading week, no class
11	Tue, Nov 15	Deep Learning: Sequence Data	GBC §10.0–10.2, P §12.0-12.2,12.4-12.5 Assignment 3 due
11	Thu, Nov 17	Reinforcement Learning: Markov Decision Processes	S&B §3.0–3.5 Assignment 3 due
12	Tue, Nov 22	Reinforcement Learning: Optimality and Dynamic Programming	S&B §3.6, §4.0–4.4 Assignment 4 released
12	Thu, Nov 24	Reinforcement Learning: Monte Carlo Prediction & Control	S&B §5.0–5.5, §5.7
13	Tue, Nov 29	Reinforcement Learning: TD-Learning Prediction & Control	S&B §6.0–6.5
13	Thu, Dec 1	Reinforcement Learning: Function Approximation & Policy Gradient Methods	S&B §9.0–9.5.4, §13.0–13.3 Withdrawal deadline
14	Tue, Dec 6	Multiagent Systems: Game Theory for Single Interactions	S&LB §3.0–3.3.2 Assignment 4 due
14	Thu, Dec 8	Multiagent Systems: Game Theory for Sequential Interactions	S&LB §5.0–5.2.2
	Tue, Dec 13 9:00am	FINAL EXAM