CSE 415 Winter 2024
Course Calendar

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January
MondayTuesdayWednesdayThursdayFriday
01 02 03
14:30-15:20 Lecture
CSE2 G01
Introduction
slides
04 05
14:30-15:20 Lecture
CSE2 G01
Python Overview
slides
08
14:30-15:20 Lecture
CSE2 G01
State-Space Search I: States, Operators, Moves, Spaces
slides
09 10
14:30-15:20 Lecture
CSE2 G01
SSS II: Formulation, Basic Algorithms
slides
11 12
14:30-15:20 Lecture
CSE2 G01
Basic Algorithms (continued)
(slides continue from Friday)
23:59 A1 (Python Warm-up) due
15
MLK Day
16 17
14:30-15:20 Lecture
CSE2 G01
SSS III: Weighted Edges, Uniform Cost Search, A* Algorithm.
slides
23:59 A2 (Part 1 Early-Bird Bonus) due
18 19
14:30-15:20 Lecture
CSE2 G01
Heuristics: Admissibility, Consistency, Domination
slides
22
14:30-15:20 Lecture
CSE2 G01
Adversarial Search I: Static Evaluation, Minimax Search
slides
23:59 A2 (Problem Formulation and Solving Techniques, Parts 1 and 2) due
23 24
14:30-15:20 Lecture
CSE2 G01
Adversarial Search II: Alpha-Beta Pruning
slides
25 26
14:30-15:20 Lecture
CSE2 G01
Zobrist Hashing, Expectimax Search
Z.H. slides, Expectimax slides
29
14:30-15:20 Lecture
CSE2 G01
Probability Definitions
slides
30 31
14:30-15:20 Lecture
CSE2 G01
Joint Distributions, Probabilistic Inference
(slides continue from Mon.)
23:59 A3 (Adversarial Search) due
01 02
14:30-15:20 Lecture
CSE2 G01
Independence, Conditional Independence, Factoring
slides
February
MondayTuesdayWednesdayThursdayFriday
05
14:30-15:20 Lecture
CSE2 G01
Bayes Nets: Structure and Counting Free Parameters
(slides continue from Fri.)
06 07
14:30-15:20 Lecture
CSE2 G01
Markov Models (a Special Factoring Structure for BNs)
slides
23:59 A4 (Written Exercises I) due
08 09
14:30-15:20 Lecture
CSE2 G01
D-Separation (Reasoning about Factored Structures)
slides
12
14:30-15:20 Lecture
CSE2 G01
Markov Decision Processes (e.g., for Robot World Modeling)
slides
13 14
14:30-15:20 Lecture
CSE2 G01
MDP Values
slides
15 16
14:30-15:20 Midterm exam
19
President's Day
20 21
14:30-15:20 Lecture
CSE2 G01
Bellman Equations and Value Iteration; begin Q-Learning
slides
22 23
14:30-15:20 Lecture
CSE2 G01
Q-Learning (continued)
Q-L slides Mini-Crawler slides
26
14:30-15:20 Lecture
CSE2 G01
Perceptrons
slides
23:59 A5 (Value Iteration and Q-Learning) due
27 28
14:30-15:20 Lecture
CSE2 G01
Perceptrons (cont.); Ethics I: The Asimov Laws, Trolley Problems
slides
29 01
14:30-15:20 Lecture
CSE2 G01
Bias, Injustice, Misinformation, Superintelligence, Ethics in AI.
slides
23:59 A6 (Perceptron Learning and Classification) due
March
MondayTuesdayWednesdayThursdayFriday
04
14:30-15:20 Lecture
CSE2 G01
Multilayer Nets and Backpropagation
slides
05 06
14:30-15:20 Lecture
CSE2 G01
NN Architectures incl. Transformers
slides
23:59 A7 (Written Exercises II) due
07 08
14:30-15:20 Lecture
CSE2 G01
Course Wrap-up and Comments on the Final Exam
slides
11 12
14:30-16:20 Final exam
13 14 15