CS 438 - AI
2025 - Spring
An introduction to the concepts of artificial intelligence.
Tentative schedule is provided below – assignments dates and lectures will be updated as the course progresses.
Table of contents
- INTRO
- UNIT 1: Search
- UNIT 2: Constraint Satisfaction Problems & Adversarial Search
- UNIT 3: Markov Decision Processes and Reinforcement Learning
- UNIT 4: Probability, Bayesian Networks, and HMMs
- FINAL EXAM
INTRO
UNIT 1: Search
UNIT 2: Constraint Satisfaction Problems & Adversarial Search
WEEK 9 |
Spring Break |
UNIT 3: Markov Decision Processes and Reinforcement Learning
UNIT 4: Probability, Bayesian Networks, and HMMs
FINAL EXAM
WEEK 17 |
UNIT 4 EXAM Mon. May 5, 2025, Peck Hall 1402, 10:00 - 11:40am |