CMPUT 261 (Winter 2023)

Intro to Artificial Intelligence

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, Jan 5 Introduction: Course Overview  
2 Tue, Jan 10 Search: Graph Search P&M §3.1–3.4
2 Thu, Jan 12 Search: Uninformed Search P&M §3.5
3 Tue, Jan 17 Search: Heuristic Search 1 P&M §3.6
Assignment 1 released
3 Thu, Jan 19 Search: Heuristic Search 2 P&M §3.7–3.8
4 Tue, Jan 24 Search: Local Search P&M §4.7
4 Thu, Jan 26 Uncertainty: Probability Theory P&M §8.1
5 Tue, Jan 31 Uncertainty: Conditional Independence P&M §8.2
Assignment 1 due
5 Thu, Feb 2 Uncertainty: Belief Networks P&M §8.3
Assignment 2 released
6 Tue, Feb 7 Uncertainty: Inference in Belief Networks P&M §8.4
6 Thu, Feb 9 Supervised Learning: Introduction & Framework P&M §7.1–7.2
7 Tue, Feb 14 Supervised Learning: Linear Models P&M §7.3
7 Thu, Feb 16 Supervised Learning: Overfitting P&M §7.4
Assignment 2 due
  Tue, Feb 21 reading week, no class  
  Thu, Feb 23 reading week, no class  
8 Tue, Feb 28 Supervised Learning: Bayesian Inference P&M §10.4, §8.6
8 Thu, Mar 2 MIDTERM  
9 Tue, Mar 7 Deep Learning: Neural Networks GBC §6.0–6.4.1
9 Thu, Mar 9 Deep Learning: Calculus Refresher GBC §4.1, §4.3
Assignment 3 released
10 Tue, Mar 14 Deep Learning: Training Neural Networks GBC §6.5
10 Thu, Mar 16 Deep Learning: Image Data GBC §9.0–9.4
11 Tue, Mar 21 Deep Learning: Sequence Data GBC §10.0–10.2, P §12.0-12.2,12.4-12.5
11 Thu, Mar 23 Reinforcement Learning: Markov Decision Processes S&B §3.0–3.5
Assignment 3 due
12 Tue, Mar 28 Reinforcement Learning: Optimality and Dynamic Programming S&B §3.6, §4.0–4.4
Assignment 4 released
12 Thu, Mar 30 Reinforcement Learning: Monte Carlo Prediction & Control S&B §5.0–5.5, §5.7
13 Tue, Apr 4 Reinforcement Learning: TD-Learning Prediction & Control S&B §6.0–6.5
Withdrawal deadline
13 Thu, Apr 6 Reinforcement Learning: Function Approximation & Policy Gradient Methods S&B §9.0–9.5.4, §13.0–13.3
14 Tue, Apr 11 Multiagent Systems: Game Theory for Single Interactions S&LB §3.0–3.3.2
Assignment 4 due
  Thu, Apr 20
9:00am
FINAL EXAM CCIS L2-200