CSE 473 Autumn 2020
Course Calendar

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September
MondayTuesdayWednesdayThursdayFriday
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
MondayTuesdayWednesdayThursdayFriday
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
MondayTuesdayWednesdayThursdayFriday
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
03 04
14:30-15:20 Lecture
* *
Social Issues, The Asimov Laws and the Future of AI
23:59 Project

December
MondayTuesdayWednesdayThursdayFriday
07
14:30-15:20 Lecture
* *
Ethical A.I. in Health Care (guest lecturer: Emilia Gan)
15:00-15:20 Quiz
08 09
14:30-15:20 Lecture
* *
AI: Challenges and Opportunities
10 11
14:30-15:20 Lecture
* *
Course Summary and Farewell
23:59 A6 (Written Exercises I) due