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March
Monday	Tuesday	Wednesday	Thursday	Friday
29 10:00-12:00 OH (ld) Leo Du OH 14:30-15:20 Lecture * * Course introduction Slides 15:30-16:20 OH (eg) Emilia Gan OH	30 09:00-11:00 OH (am) Amir Mola OH 12:00-12:50 OH (pr) Prashant Rangarajan OH	31 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Turing Tests, State Spaces Slides 16:30-17:20 OH (eg) Emilia Gan OH	01 12:00-12:50 OH (pr) Prashant Rangarajan OH	02 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Search Algorithms Slides

April
Monday	Tuesday	Wednesday	Thursday	Friday
05 10:00-12:00 OH (ld) Leo Du OH 14:30-15:20 Lecture * * Heuristic Search Slides 15:30-16:20 OH (eg) Emilia Gan OH	06 09:00-11:00 OH (am) Amir Mola OH 12:00-12:50 OH (pr) Prashant Rangarajan OH	07 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Heuristic Search (cont.) 16:30-17:20 OH (eg) Emilia Gan OH	08 12:00-12:50 OH (pr) Prashant Rangarajan OH	09 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Heuristic Search (cont.) 23:59 A1 (Python Warm-up and AI Intro) due
12 10:00-12:00 OH (ld) Leo Du OH 14:30-15:20 Lecture * * Adversarial Search Slides 15:30-16:20 OH (eg) Emilia Gan OH	13 09:00-11:00 OH (am) Amir Mola OH 12:00-12:50 OH (pr) Prashant Rangarajan OH	14 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Adversarial Search (Alpha-Beta Pruning) Slides 16:30-17:20 OH (eg) Emilia Gan OH 23:59 A2 (Part 1 Early-Bird Bonus) due	15 12:00-12:50 OH (pr) Prashant Rangarajan OH	16 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Expectimax Search Slides 14:30-15:20 Quizella 1
19 10:00-12:00 OH (ld) Leo Du OH 14:30-15:20 Lecture * * Markov Decision Processes Slides 15:30-16:20 OH (eg) Emilia Gan OH 23:59 A2 (Search Techniques, Parts 1 and 2) due	20 09:00-11:00 OH (am) Amir Mola OH 12:00-12:50 OH (pr) Prashant Rangarajan OH	21 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Values, Q-Values, Policies Slides 16:30-17:20 OH (eg) Emilia Gan OH	22 12:00-12:50 OH (pr) Prashant Rangarajan OH	23 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * MDP Values (cont.) 14:30-15:20 Quizella 2 23:59 A3 (Part 1 Early-Bird Bonus) due
26 10:00-12:00 OH (ld) Leo Du OH 14:30-15:20 Lecture * * Value Iteration 15:30-16:20 OH (eg) Emilia Gan OH	27 09:00-11:00 OH (am) Amir Mola OH 12:00-12:50 OH (pr) Prashant Rangarajan OH	28 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Q-Learning Slides 16:30-17:20 OH (eg) Emilia Gan OH 23:59 A3 (Adversarial Search) due	29 12:00-12:50 OH (pr) Prashant Rangarajan OH	30 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Feature-Based Q-Learning Slides

May
Monday	Tuesday	Wednesday	Thursday	Friday
03 10:00-12:00 OH (ld) Leo Du OH 14:30-15:20 Lecture * * Probabilities and Probabilistic Reasoning Slides 15:30-16:20 OH (eg) Emilia Gan OH	04 09:00-11:00 OH (am) Amir Mola OH 12:00-12:50 OH (pr) Prashant Rangarajan OH	05 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Joint Distributions Slides 16:30-17:20 OH (eg) Emilia Gan OH 23:59 A4 (Written Exercises I) due	06 12:00-12:50 OH (pr) Prashant Rangarajan OH	07 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Bayes Nets (slides continue from Wed.) 14:30-15:20 Quizella 3
10 10:00-12:00 OH (ld) Leo Du OH 14:30-15:20 Lecture * * Bayes Nets (Cont.) Intro to Perceptrons Slides 15:30-16:20 OH (eg) Emilia Gan OH 23:59 A5 (Reinforcement Learning, Part A) Early Bird due date	11 09:00-11:00 OH (am) Amir Mola OH 12:00-12:50 OH (pr) Prashant Rangarajan OH	12 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Intro to Perceptrons (continued) 16:30-17:20 OH (eg) Emilia Gan OH	13 12:00-12:50 OH (pr) Prashant Rangarajan OH	14 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Multi-Class Perceptrons Slides 23:59 A5 (Reinforcement Learning) due
17 10:00-12:00 OH (ld) Leo Du OH 14:30-15:20 Lecture * * D-Separation in Bayes Nets Slides 15:30-16:20 OH (eg) Emilia Gan OH	18 09:00-11:00 OH (am) Amir Mola OH 12:00-12:50 OH (pr) Prashant Rangarajan OH	19 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Markov Models Slides 16:30-17:20 OH (eg) Emilia Gan OH 23:59 A6 (Perceptrons, Part A) Early Bird due date	20 12:00-12:50 OH (pr) Prashant Rangarajan OH	21 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Hidden Markov Models: The Viterbi Algorithm Slides 14:30-15:20 Quizella 4
24 10:00-12:00 OH (ld) Leo Du OH 14:30-15:20 Lecture * * Hidden Markov Models (continued). NLP Using Probabilistic Context-Free Grammars Slides 15:30-16:20 OH (eg) Emilia Gan OH 23:59 A6 (Perceptrons) due	25 09:00-11:00 OH (am) Amir Mola OH 12:00-12:50 OH (pr) Prashant Rangarajan OH	26 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Document analysis using the Cosine similarity and Latent Semantic Analysis; The Asimov Laws of Robotics 16:30-17:20 OH (eg) Emilia Gan OH	27 12:00-12:50 OH (pr) Prashant Rangarajan OH	28 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Guest Lecture: Ethics in AI (Emilia Gan) Slides
31 Memorial Day	01 09:00-11:00 OH (am) Amir Mola OH 12:00-12:50 OH (pr) Prashant Rangarajan OH	02 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * The Asimov Laws; The Future of AI: Opportunities and Challenges Slides on the Asimov Laws; Slides on the Future of AI 16:30-17:20 OH (eg) Emilia Gan OH 23:59 A7 (Written Exercises II) due	03 12:00-12:50 OH (pr) Prashant Rangarajan OH	04 10:30-11:20 OH (st) Steve Tanimoto OH 14:30-15:20 Lecture * * Meeting the Challenges of AI Slides 14:30-15:20 Quizella 5