CSE 415 Autumn 2023
Course Calendar

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September
MondayTuesdayWednesdayThursdayFriday
25 26 27
13:30-14:20 Lecture
CSE2 G10
Introduction
slides
28 29
13:30-14:20 Lecture
CSE2 G10
Python Overview
slides
October
MondayTuesdayWednesdayThursdayFriday
02
13:30-14:20 Lecture
CSE2 G10
State-Space Search I: States, Operators, Moves, Spaces
slides
03 04
13:30-14:20 Lecture
CSE2 G10
SSS II: Formulation, Basic Algorithms
slides
05 06
13:30-14:20 Lecture
CSE2 G10
SSS III: Weighted Edges, Uniform Cost Search, A* Algorithm.
slides
23:59 A1 (Python Warm-up) due
09
13:30-14:20 Lecture
CSE2 G10
Heuristics: Admissibility, Consistency, Domination
slides
10 11
13:30-14:20 Lecture
CSE2 G10
Heuristics: Design
slides
23:59 A2 (Part 1 Early-Bird Bonus) due
12 13
13:30-14:20 Lecture
CSE2 G10
Adversarial Search I: Static Evaluation, Minimax Search
slides
16
13:30-14:20 Lecture
CSE2 G10
Adversarial Search II: Alpha-Beta Pruning
slides
23:59 A2 (Problem Formulation and Solving Techniques, Parts 1 and 2) due
17 18
13:30-14:20 Lecture
CSE2 G10
Expectimax Search
slides
19 20
13:30-14:20 Lecture
CSE2 G10
Probability Definitions
slides
23
13:30-14:20 Lecture
CSE2 G10
Joint Distributions, Probabilistic Inference
slides
24 25
13:30-14:20 Lecture
CSE2 G10
Independence, Conditional Independence, Factoring
(slides continue from Mon.)
23:59 A3 (Adversarial Search) due
26 27
13:30-14:20 Lecture
CSE2 G10
Bayes Nets: Structure and Counting Free Parameters
(slides continue from Mon.)
30
13:30-14:20 Lecture
CSE2 G10
Markov Models (a Special Factoring Structure for BNs)
slides
31 01
13:30-14:20 Lecture
CSE2 G10
D-Separation (Reasoning about Factored Structures)
slides
23:59 A4 (Written Exercises I) due
02 03
13:30-14:20 Lecture
CSE2 G10
Markov Decision Processes (e.g., for Robot World Modeling)
slides
November
MondayTuesdayWednesdayThursdayFriday
06
13:30-14:20 Lecture
CSE2 G10
MDP Values
slides
07 08
13:30-14:20 Midterm exam
09 10
Veteran's Day*
13
13:30-14:20 Lecture
CSE2 G10
Bellman Equations and Value Iteration
slides
14 15
13:30-14:20 Lecture
CSE2 G10
Q-Learning
Q-L slides Mini-Crawler slides
16 17
13:30-14:20 Lecture
CSE2 G10
Q-Learning (continued)
20
13:30-14:20 Lecture
CSE2 G10
Perceptrons
slides
21
23:59 A5 (Value Iteration and Q-Learning) due
22
13:30-14:20 Lecture
CSE2 G10
Perceptrons (cont.)
23
Thanksgiving
24
Native American Heritage Day
27
13:30-14:20 Lecture
CSE2 G10
Ethics I: The Asimov Laws, Trolley Problems
slides
28
23:59 A6 (Perceptron Learning and Classification) due
29
13:30-14:20 Lecture
CSE2 G10
Multilayer Nets and Backpropagation
slides
30 01
13:30-14:20 Lecture
CSE2 G10
NN Architectures incl. Transformers
slides
December
MondayTuesdayWednesdayThursdayFriday
04
13:30-14:20 Lecture
CSE2 G10
Applying Large Language Models
slides
05
23:59 A7 (Written Exercises II) due
06
13:30-14:20 Lecture
CSE2 G10
Bias, Injustice, Misinformation, Superintelligence, Ethics in AI.
slides
07 08
13:30-14:20 Lecture
CSE2 G10
Course Wrap-up and Comments on the Final Exam
slides
11
14:30-16:20 Final exam
12 13 14 15