Spring 2015 Syllabus
Week | Day(mm/dd) | Topic | Slides | Video | Assignment | Due(mm/dd) | |
1 | 2/6-2/12 | Introduction to AI
|
small large |
Python Refresher | (ungraded) | ||
2 | 2/13-2/19 | Search and Planning
|
HW1: Search | 2/22 | |||
3 | 2/20-2/26 | Project 1: Search and Planning | P1: Search | 3/1 | |||
4 | 2/27-3/5 | Constraint Satisfaction Problems
|
HW2: CSPs | 3/9 | |||
5 | 3/6-3/12 | Game Trees and Decision Theory
|
Other |
HW3: Games | 3/15 | ||
6 | 3/13-3/19 | Project 2: Game Trees and Decision Theory | P2: Multi-Agent Games |
3/22 | |||
7 | 3/20-3/26 | Markov Decision Processes (MDPs)
|
HW4: MDPs | 3/29 | |||
8 | 3/27-4/2 | Reinforcement Learning (RL)
|
HW5: RL | 4/5 | |||
9 | 4/3-4/9 | Project 3: Reinforcement Learning (RL) | P3: RL | 4/12 | |||
10 | 4/10-4/16 | Conclusion and Wrap-Up | Practice Finals I II III |
(ungraded) | |||
11 | 4/17-4/23 | No Lecture, Final Exam Week | Final | 4/26 |