CSE 415 Autumn 2025
Course Calendar

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September
MondayTuesdayWednesdayThursdayFriday
22 23 24
13:30-14:20 Lecture
CSE2 G10
Introduction
slides
25 26
13:30-14:20 Lecture
CSE2 G10
Python Overview
slides
29
13:30-14:20 Lecture
CSE2 G10
State-Space Search I: States, Operators, Moves, Spaces
slides
30 01
13:30-14:20 Lecture
CSE2 G10
SSS II: Formulation, Basic Algorithms
slides
02 03
13:30-14:20 Lecture
CSE2 G10
SSS III: Searching Weighted Graphs
slides
23:59 A1 (Python Warm-up) due
October
MondayTuesdayWednesdayThursdayFriday
06
13:30-14:20 Lecture
CSE2 G10
A* Algorithm Details
slides
07 08
13:30-14:20 Lecture
CSE2 G10
Comparing and Designing Heuristics
slides
09 10
13:30-14:20 Lecture
CSE2 G10
Adversarial Search I: Static Evaluation, Minimax Search
slides
23:59 A2 Part A (Blind Search) due
13
13:30-14:20 Lecture
CSE2 G10
Adversarial Search II: Alpha-Beta Pruning
slides
14 15
13:30-14:20 Lecture
CSE2 G10
Adversarial Search III: Zobrist Hashing
slides
16 17
13:30-14:20 Lecture
CSE2 G10
Expectimax Search and Probability
slides
23:59 A2 Parts B and C (Heuristic Search) due
20
13:30-14:20 Lecture
CSE2 G10
Markov Decision Processes (e.g., for Robot World Modeling)
slides
21 22
13:30-14:20 Lecture
CSE2 G10
MDP Values
slides
23 24
13:30-14:20 Lecture
CSE2 G10
Bellman Equations and Value Iteration
slides
27
13:30-14:20 Lecture
CSE2 G10
Value Iteration (continued)
23:59 A3 (Exercises I) due
28 29
13:30-14:20 Lecture
CSE2 G10
Q-Learning
Q-L slides Mini-Crawler slides
30 31
13:30-14:20 Lecture
CSE2 G10
November
MondayTuesdayWednesdayThursdayFriday
03
13:30-14:20 Lecture
CSE2 G10
Joint Probability Distributions
slides
04 05
13:30-14:20 Midterm exam
06 07
13:30-14:20 Lecture
CSE2 G10
Bayes Nets
(slides continue from Wed.)
10
13:30-14:20 Lecture
CSE2 G10
Bayes Net Refactoring
(worksheet)
11
Veteran's Day
12
13:30-14:20 Lecture
CSE2 G10
Introducing a Markov Decision Process for Towers of Hanoi
(worksheet)
23:59 A4 (Game-Playing Agents) due
13 14
13:30-14:20 Lecture
CSE2 G10
D-Separation (Reasoning about Factored Prob. Distributions)
slides
17
13:30-14:20 Lecture
CSE2 G10
Markov Models (a Special Factoring Structure for BNs)
slides
18 19
13:30-14:20 Lecture
CSE2 G10
Hidden Markov Models and the Viterbi Algorithm
slides
20 21
13:30-14:20 Lecture
CSE2 G10
Perceptrons
slides
23:59 A5 (Implementing Reinf. Learning) due
24
13:30-14:20 Lecture
CSE2 G10
Multiclass Perceptrons; Ethics I: The Asimov Laws, Trolley Problems
slides
25 26
13:30-14:20 Lecture
CSE2 G10
Math Background for Deep Learning and Large Language Models
slides
27
Thanksgiving
28
Native American Heritage Day
December
MondayTuesdayWednesdayThursdayFriday
01
13:30-14:20 Lecture
CSE2 G10
NN Architectures incl. Transformers
slides
23:59 A6 (Exercises II) due
02 03
13:30-14:20 Lecture
CSE2 G10
NN Architectures (cont)
04 05
13:30-14:20 Lecture
CSE2 G10
The Future of AI: Opportunities and Challenges; Course Wrap-up and Comments on the Final Exam
slides on Fut. of AI Wrap-up slides
08
14:30-16:20 Final exam
09 10 11 12