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Lecture

Section

Lab

Exam

Homework

Office Hour

Other

Holiday

September
Monday	Tuesday	Wednesday	Thursday	Friday
28	29	30 14:30-15:20 Lecture * * Course introduction Slides	01	02 14:30-15:20 Lecture * * Turing Tests; State Spaces Turing Tests: Slides; State Spaces: Slides

October
Monday	Tuesday	Wednesday	Thursday	Friday
05 14:30-15:20 Lecture * * Search Algorithms Slides	06	07 14:30-15:20 Lecture * * Heuristic Search Slides	08	09 14:30-15:20 Lecture * * Adversarial Search I Slides 23:59 A0 (Python Warm-up) due
12 14:30-15:20 Lecture * * Adversarial Search II Slides	13	14 14:30-15:20 Lecture * * Adversarial Search II (continued) 15:00-15:20 Quiz	15	16 14:30-15:20 Lecture * * Expectimax Search Slides
19 14:30-15:20 Lecture * * Markov Decision Processes Slides 23:59 A1 (Search Techniques) due	20	21 14:30-15:20 Lecture * * Values, Q-Values, Policies Slides	22	23 14:30-15:20 Lecture * * Value Iteration (slides continue from Oct. 21)
26 14:30-15:20 Lecture * * Q-Learning Slides 15:00-15:20 Quiz	27	28 14:30-15:20 Lecture * * Q-Learning (continued) 23:59 A2 (Problem Formulation) due	29	30 14:30-15:20 Lecture * * Feature-Based Q-Learning Slides

November
Monday	Tuesday	Wednesday	Thursday	Friday
02 14:30-15:20 Lecture * * Probabilities and Probabilistic Reasoning Slides	03	04 14:30-15:20 Lecture * * Joint Distributions Slides	05	06 14:30-15:20 Lecture * * Bayes Nets 15:00-15:20 Quiz 23:59 A3 (Written Exercises I) due
09 14:30-15:20 Lecture * * D-Separation in Bayes Nets Slides	10	11 Veteran's Day	12	13 14:30-15:20 Lecture * * Perceptron Learning Slides
16 14:30-15:20 Lecture * * Neural Nets and Gradient Descent 23:59 A4 (Reinforcement Learning) due	17	18 14:30-15:20 Lecture * * Neural Nets, Continued Slides	19	20 14:30-15:20 Lecture * * Deep Learning Slides 15:00-15:20 Quiz
23 14:30-15:20 Lecture * * Markov Models Slides	24	25 14:30-15:20 Lecture * * Hidden Markov Models: The Viterbi Algorithm Slides 23:59 A5 (Neural Networks) due	26 Thanksgiving	27 Fri. after Thanksgiving
30 14:30-15:20 Lecture * * Hidden Markov Models: The Forward Algorithm Slides	01	02 14:30-15:20 Lecture * * Natural Language Processing Slides	03	04 14:30-15:20 Lecture * * Ethical A.I. in Health Care (guest lecturer: Emilia Gan), the Asimov Laws of Robotics AI and Health Care Slides; 3 Laws of Robotics Slides 23:59 Project

December
Monday	Tuesday	Wednesday	Thursday	Friday
07 14:30-15:20 Lecture * * CSP Part I Slides 15:00-15:20 Quiz	08	09 14:30-15:20 Lecture * * CSP Part II Slides	10	11 14:30-15:20 Lecture * * AI Opportunities and Challenges Slides 23:59 A6 (Written Exercises I) due (extended to Dec. 12)