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	Mon, Jan 6	Introduction: What is AI?	P&M chapter 1 NO LAB THIS WEEK
1	Wed, Jan 8	Introduction: Representational dimensions	P&M chapter 1
1	Fri, Jan 10	Search: Graph search	P&M §3.1–3.4
2	Mon, Jan 13	Search: Uninformed search	P&M §3.5 NO LAB THIS WEEK
2	Wed, Jan 15	Search: Heuristic search	P&M §3.6
2	Fri, Jan 17	Search: Heuristic Search II; Branch & bound	P&M §3.7–3.8 Add/Drop deadline
3	Mon, Jan 20	Search: Local search	P&M §4.7 Assignment 1 released
3	Wed, Jan 22	Uncertainty: Probability theory	P&M §8.1
3	Fri, Jan 24	Uncertainty: Conditional independence	P&M §8.2
4	Mon, Jan 27	Uncertainty: Belief networks	P&M §8.3
4	Wed, Jan 29	Uncertainty: Independence in belief networks	P&M §8.4
4	Fri, Jan 31	Uncertainty: Inference in belief networks	P&M §8.4
5	Mon, Feb 3	Causality: Causal inference	Bar §3.4 Assignment 1 due
5	Wed, Feb 5	Supervised learning: Intro	P&M §7.1–7.2
5	Fri, Feb 7	Supervised learning: Linear models	P&M §7.3 Assignment 2 released
6	Mon, Feb 10	Supervised learning: Overfitting	P&M §7.4
6	Wed, Feb 12	Supervised learning: Exact Bayesian models	P&M §10.4
6	Fri, Feb 14	Supervised learning: Monte Carlo estimation	P&M §8.6
	Mon, Feb 17	Winter Reading Break, NO CLASS
	Wed, Feb 19	Winter Reading Break, NO CLASS
	Fri, Feb 21	Winter Reading Break, NO CLASS
7	Mon, Feb 24	Deep learning: Calculus refresher	GBC §4.1, 4.3
7	Wed, Feb 26	Deep learning: Neural networks	GBC §6.0–6.4.1
7	Fri, Feb 28	Deep learning: Training Neural Networks	GBC §6.5 Assignment 2 due
8	Mon, Mar 2	Deep learning: Convolutional neural networks	GBC §9.0–9.4
8	Wed, Mar 4	Deep learning: Recurrent neural networks	GBC §10.0–10.2, 10.4, 10.10
8	Fri, Mar 6	Midterm review	Assignment 3 released
9	Mon, Mar 9	Midterm exam
9	Wed, Mar 11	Reinforcement learning: Markov decision processes	S&B §3.0–3.4
9	Fri, Mar 13	CLASS CANCELLED
10	Mon, Mar 16	CLASS CANCELLED
10	Wed, Mar 18	Reinforcement learning: Policies and value functions	S&B §3.5
10	Fri, Mar 20	Reinforcement learning: Optimality and Policy Evaluation	S&B §3.6, §4.0–4.2
11	Mon, Mar 23	Reinforcement learning: Policy Iteration and Monte Carlo Prediction	S&B §4.3–4.4, §5.0–5.2
11	Wed, Mar 25	Reinforcement learning: Monte Carlo Control	S&B §5.3–5.5, §5.7
11	Fri, Mar 27	Reinforcement learning: Temporal difference learning	S&B §6.0–6.5 Assignment 3 due
12	Mon, Mar 30	Reinforcement learning: Function approximation	S&B §9.0–9.5.4
12	Wed, Apr 1	Reinforcement learning: Policy gradient	S&B §13.0–13.3
12	Fri, Apr 3	Multiagent systems: Game theory for single interactions	S&LB §3.0–3.3.2 Assignment 4 released
13	Mon, Apr 6	Multiagent systems: Game theory for sequential interactions	S&LB §5.0–5.2.2
13	Wed, Apr 8	Final exam review
	Fri, Apr 10	NO CLASS	Assignment 4 due
	TBD	Final exam	CSC B2 (usual location) eClass