CMPS140 - Artificial Intelligence CMPS140: Artificial Intelligence

Study Material

Schedule

Quizzes: Q; Projects: P; Class Exercises: CE; Surveys: S
Date Module: Topic Required Reading Out Due
01/10, Tu M0: Introduction to AI [Slides] Ch. 1 Q0, S0, P0
01/12, Th M1: Heuristic Search [Slides] Ch. 3.1 - 3.4 Q1 Q0, S0 Fri 5PM
01/17, Tu M1: Heuristic Search Ch. 3.5 - 3.6 P1 P0 Tue 10PM
01/19, Th M2: Constraint Satisfaction Problems (CSP) [Slides] Ch. 6.1 Q2 Q1 Fri 5PM
01/24, Tu M2: Constraint Satisfaction Problems (CSP) Ch. 6.3 - 6.5
01/26, Th M3: Adversarial Search and Game Playing [Slides] Ch. 5 Q3 Q2 Fri 5PM
P1 Sun 5PM
01/31, Tu M3: Adversarial Search and Game Playing Ch. 16.1 - 16.3 P2
02/02, Th M4: Markov Decision Processes (MDPs) and Reinforcement Learning [Slides] Sutton and Barto Ch. 3.1 - 3.4, AIMA Ch. 17.1 - 17.3 Q4 Q3 Fri 5PM
02/07, Tu M4: Markov Decision Processes (MDPs) and Reinforcement Learning Sutton and Barto Ch. 6.1, 6.2, 6.5
02/09, Th Midterm in E2-180 P2 Sun 5PM
02/14, Tu M4: Markov Decision Processes (MDPs) and Reinforcement Learning P3
02/16, Th M5: Knowledge Representation & Theorem Proving [Slides] Ch. 7 Q5 Q4 Fri 5PM
02/21, Tu M5: Knowledge Representation & Theorem Proving Ch. 8, 9
02/23, Th M6: Probabilistic Reasoning & Bayesian Networks (BNs) [Slides] Ch. 13.1 - 13.5 Q6, P4 Q5 Fri 5PM
P3 Sun 5PM
02/28, Tu M6: Probabilistic Reasoning & Bayesian Networks (BNs) Ch. 14.1 - 14.4
03/02, Th M6: Probabilistic Reasoning & Bayesian Networks (BNs) Q6 Fri 5PM
03/07, Tu M7: Machine Learning [Slides] Ch. 18.1 - 18.3 Q7
03/09, Th M7: Machine Learning [Slides] Ch. 20.1 - 20.2.4
03/14, Tu M7: Machine Learning [Slides] Ch. 18.6.3 - 18.7 P4 Mon 10PM
(* tentative)
03/16, Th M7: Machine Learning, Review [Slides] Ch. 18.7 - 18.8.2 Q7 Fri 5PM
03/21, Tu Final in E2-180 12:00 - 3:00PM