Schedule
Quizzes: Q; Projects: P; Class Exercises: CE; Surveys: SDate | 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) |
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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 |