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Lecture

Section

Lab

Exam

Homework

Office Hour

Other

Holiday

September
Monday	Tuesday	Wednesday	Thursday	Friday
23	24	25 13:30-14:20 Lecture CSE2 G10 Course Intro. Slides; 1-up	26	27 13:30-14:20 Lecture CSE2 G10 State Spaces Slides; 1-up
30 13:30-14:20 Lecture CSE2 G10 Search Algorithms Slides; 1-up	01	02 13:30-14:20 Lecture CSE2 G10 Search Algorithms (continued)	03	04 13:30-14:20 Lecture CSE2 G10 More about Search Algorithms 23:59 A1 (Python Warm-up and Chatbot) due

October
Monday	Tuesday	Wednesday	Thursday	Friday
07 13:30-14:20 Lecture CSE2 G10 Problem Formulation Slides; 1-up	08	09 13:30-14:20 Lecture CSE2 G10 Heuristic Search Slides; 1-up	10	11 13:30-14:20 Lecture CSE2 G10 Heuristic Search (continued) 23:59 A2 (Basic Problem-Solving Techniques) due
14 13:30-14:20 Lecture CSE2 G10 Adversarial Search Slides; 1-up	15	16 13:30-14:20 Lecture CSE2 G10 Adversarial Search (continued) Slides; 1-up	17	18 13:30-14:20 Lecture CSE2 G10 Adversarial Search (conclusion), Expectimax Search Slides; 1-up; Slides; 1-up 23:59 A3 (Heuristic Search) due
21 13:30-14:20 Lecture CSE2 G10 Markov Decision Proceses Slides; 1-up	22	23 13:30-14:20 Lecture CSE2 G10 Markov Decision Process Values, Plans, and Policies Slides; 1-up	24 23:59 A4 (Written Exercises I) due	25 13:30-14:20 Lecture CSE2 G10 Review for the midterm
28 13:30-14:20 Midterm exam	29	30 13:30-14:20 Lecture CSE2 G10 1: A5 intro; 2: Bellman Equations, Value Iteration (continuation of the October 23 slides)	31	01 13:30-14:20 Lecture CSE2 G10 Value Iteration (continued)

November
Monday	Tuesday	Wednesday	Thursday	Friday
04 13:30-14:20 Lecture CSE2 G10 Q-Learning Slides 1-up	05	06 13:30-14:20 Lecture CSE2 G10 Q-Learning (continued)	07	08 13:30-14:20 Lecture CSE2 G10 Feature-Based Reinforcement Learning Slides 1-up 23:59 A5 (Adversarial Search) due
11 Veteran's Day	12	13 13:30-14:20 Lecture CSE2 G10 Probability and Probabilistic Reasoning Slides 1-up	14	15 13:30-14:20 Lecture CSE2 G10 Joint Probability Distributions and Intro to Bayes Nets Slides 1-up 23:59 A6 (Reinforcement Learning) due
18 13:30-14:20 Lecture CSE2 G10 Bayes Nets (cont.)	19 23:59 Proj. Milestone A due	20 13:30-14:20 Lecture CSE2 G10 D-Separation in Bayes Nets Slides 1-up	21	22 13:30-14:20 Lecture CSE2 G10 Machine Learning: Neural Nets Slides 1-up
25 13:30-14:20 Lecture CSE2 G10 Natural Language Processing Slides 1-up 23:59 Proj. Milestone B due	26	27 13:30-14:20 Lecture CSE2 G10 Ethics and Social issues, incl. the Asimov Laws. Slides on Ethics; Slides on the Future of AI 1-up	28 Thanksgiving	29 Fri. after Thanksgiving

December
Monday	Tuesday	Wednesday	Thursday	Friday
02 13:30-14:20 Lecture CSE2 G10 Project demonstrations and peer evaluations 23:59 Proj. Milestone C due	03	04 13:30-14:20 Lecture CSE2 G10 Multilayer Perceptrons, Wrapup Slides 1-up	05 23:59 A7 (Written Exercises II) due; No late days!	06 13:30-14:20 Lecture CSE2 G10 Review
09 14:30-16:20 Final exam	10	11	12	13