Acknowledgement and Citations: Some of the material below was developed from:
- The POGIL respository for Computer Science
- the Berkeley AI project
- Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
| W | Date | Lecture Topic | Readings | Activities | Homework | Project |
|---|---|---|---|---|---|---|
| 1 | 22-Jan |
|
Agents and Rationality | PA 1 | ||
| 2 | 27-Jan |
Uninformed Search BFS, DFS, IDS |
Uninformed Search | PA 2 | ||
| 29-Jan | Graph Search vs. Tree Search | Lab 1:Uninformed Search | ||||
| 3 | 3-Feb | Uniform Cost and A* Search | Informed Search | |||
| 5-Feb | Developing Heuristics | Lab 2: Informed Search | ||||
| 4 | 10-Feb |
Mastery Quiz 1a Local Search |
Local Search | PA 2 Due Feb 8 | ||
| 12-Feb | Using Local Search methods to Solve N-Queens | Lab 3: Local Search | ||||
| 5 | 17-Feb |
Mastery Quiz 1b Constraint Satisifcation Problems with Backtracking |
CSPs | PA 3 | ||
| 19-Feb |
CSPs
|
Lab 4: Min Conflicting Queeens | ||||
| 6 | 24-Feb |
Adversarial Search
|
Adversarial Search | |||
| 26-Feb | Expectimax, Utility Functions | Adversarial Search with Uncertainty | RQ 7 | |||
| 7 | 3-Mar | MPQW7 | ||||
| 5-Mar |
|
HW6 | ||||
| 8 | 10-Mar | Markov Decision Processes 1 | MDPs |
PA 3 Due Mar 5 (/pas/pacmanwithghosts/) |
||
| 12-Mar |
Master Quiz 2b Lab |
Lab 5: Value Iteration | ||||
| 9 | 17-Mar | Spring BREAK | ||||
| 24-Mar | Spring BREAK | |||||
| 10 | 26-Mar | Markov Decision Processes 2 | ||||
| 31-Mar | Reinforcement Learning 1 | Reinforcement Learning | ||||
| 11 | 2-Apr | Reinforcement Learning 2 | Lab 7: Reinforcement Learning Crawler | |||
| 7-Apr | PA Work day | |||||
| 12 | 9-Apr |
|
Propositional Logic | PA 4 Due Apr 2 | ||
| 14-Apr | Theorm Proving and Resolution | |||||
| 13 | 16-Apr |
|
First Order Logic | |||
| 21-Apr | FOL Resolution and Chaining | |||||
| 14 | 23-Apr |
|
Probability Review | |||
| 28-Apr | Bayes Variable Elimination | Bayes | ||||
| 15 | 5-May | Bayes Sampling | ||||
| 7-May |
|