Meeting Schedule (tentative)
| Date | Topic | Homework | Material |
| 01/9/20 | Introduction | Read chapters 1 and 3; skim chapter 2 Install Python 3.X and configure your IDE Join Piazza | intro.pdf |
| 01/14/20 | Search | Work through HW0 by 1/21/20 (not for credit) Skim chapters 4 and 6 | UninformedSearch |
| 1/16/20 | Informed Search | InformedSearch | |
| 1/21/20 | Informed Search (continued) | HW1, due 1/31/20 Read Chapter 5 | |
| 1/23/20 | Other Search Methods | OtherSearch | |
| 1/27/20 | Discussion: Search Exercises | SearchDiscussion | |
| 1/28/20 | CSPs | CSPs | |
| 1/30/20 | Adversarial Search | GameSearch | |
| 2/3/20 | Discussion: CSP and Game Exercises | CSPGameDiscussion | |
| 2/4/20 | Planning | HW2 assigned, due 2/13Skim chapters 7-10 | planning |
| 2/6/20 | Logic and Theorem proving | Read chapter 14 Optional: The Cancer Cluster Myth | logic |
| 2/10/20 | Discussion: Game Search and Planning | GamePlanningDiscussion | |
| 2/11/20 | Slack | ||
| 2/13/20 | Slack | ||
| 2/17/20 | Logic and Intro Probability Discussion | Discussion_2_17_20 | |
| 2/18/20 | Uncertainty | HW3 assigned, due 2/27/20 Read chapter 16 | uncertainty |
| 2/20/20 | Decision Theory | Read Chapter 17 (through 17.4) | decisions |
| 2/24/20 | Probability and Decision Theory Discussion | Discussion_2_24_20 | |
| 2/24/20 | Markov Decision Processes | mdp | |
| 2/27/20 | MDPs (continued) | Read chapter 21 | |
| 3/3/20 | Reinforcement Learning | Read Chapter 14 | RL |
| 3/5/20 | Reinforcement Learning (continued) | ||
| Spring Break (no class 3/10, 3/12, 3/17, 3/19) | |||
| 3/24/20 | Finish RL | Read Chapter 15 | |
| 3/26/20 | Midterm vis Sakai (75 minutes in a 24 hour window) | ||
| Bayesian Networks | HW4 assigned, due 4/14 | bnets | |
| 4/14/20 | HMMs | HMMs | |
| Particle Filters | HW5 assigned, due 6:00 PM, 4/22/20 | Particle Filters | |
| 4/21/20 | Linear Programming and Game Theory | LP's and Games | |
| 4/23/20 | Intro to Machine Learning | ML Intro | |
| 04/28/20 | Final Exam 7:00 PM - 10:00 PM | ||