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T Jan 15: Intro to AI
Reading: Ch. 1
Slides: pptx, pdf.
Recommended Problems: 1.1,3,5,7-9,11 -
R Jan 17: History of AI
Reading: Ch. 1
Slides: pptx, pdf.
Recommended Problems: 1.15 -
T Jan 22: Agents
Reading: Ch. 2
Assignment 1 published
Slides: pptx, pdf.
Recommended Problems: 2.2-5,10-13 -
R Jan 24: Uninformed Search: Tree Search, including BFS, DFS, IDS
Reading: Sec. 3.1-3.2
Slides: pptx, pdf.
Recommended Problems: 3.2,3,6,8,10,11,16,21,26(a-d) -
T Jan 29: Informed Search: Greedy, A*
Reading: Sec. 3.3-3.6
Slides: pptx, pdf.
Recommended Problems: 3.14,23,26(e-h),27-29,31 -
R Jan 31:
Constraint Satisfaction Problems
Reading: Ch. 6
Slides: pptx, pdf.
Recommended Problems: 6.2-9,11-14,16
Assignment 1 due M Feb 4 -
T Feb 5: Planning
Reading: Sec. 10.1-3
Slides: pptx, pdf.
Recommended Problems: 10.1-3, 10.9-11
Assignment 2 published -
R Feb 7: Two-Player Games
Reading: Sec. 5.1-4
Recommended Problems: 5.3, 5.7, 5.8, 5.13-14
Slides: pptx, pdf. -
T Feb 12: Game Theory
Reading: Sec. 17.5-17.6
Recommended Problems: 17.17, 17.18, 17.21
Slides: pptx, pdf. -
R Feb 14: Probability
Reading: Ch. 13
Recommended Problems: 13.1-9, 13.12, 13.15, 16.3
Slides: pptx, pdf. -
T Feb 19: Random Variables
Reading: Ch. 13
Recommended Problems: 13.10, 13.11, 13.14, 13.18, 13.20
Slides: pptx, pdf.
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R Feb 21: Stochastic Games,
Imperfect Information, and Stochastic Search
Reading: Sec. 5.5-6
Recommended Problems: 5.16, 5.20, 5.21
Slides: pptx, pdf.
Assignment 2 due M Feb 25 -
T Feb 26: Exam 1 Review
Review 1, Solutions - R Feb 28: Exam 1 (in class)
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T Mar 5: Bayesian Inference
and Bayesian Learning
Reading: Ch. 13, Recommended Problems: 13.13-24, 18.18, 20.9; repeat 13.22 using Laplace smoothing
Slides: pptx, pdf.
Assignment 3 published -
R Mar 7: Linear Classifiers: Bayesian, Perceptron, Logistic Regression
Slides: pptx, pdf.
Reading: Sections 18.6-18.7, Recommended Problems: 18.16,20,21,23,25; 20.4 -
T Mar 12: Linear and PWL Polychotomizers: Softmax, One-Hot Vectors, Cross-Entropy
Slides: pptx, pdf.
Reading: Sections 18.6-18.7, Recommended Problems: 18.19,22 -
R Mar 14:
Bayesian Networks
Slides: pptx, pdf.
Reading: Ch. 14, Recommended Problems: 14.1-8,11-14;16.5,16.17 -
T Mar 26:
Bayes Net Inference
Slides: pptx, pdf.
Reading: Ch. 20, Recommended Problems: 14.15-16,20.1-3,20.6,20.8,20.10 -
R Mar 28:
Hidden Markov Models
Slides: pptx, pdf.
Reading: Ch. 15, Recommended Problems: 15.1-6,13-17
Assignment 3 due M Apr 1 -
T Apr 2:
Markov Decision Processes
Slides: pptx, pdf.
Reading: Ch. 17, Recommended Problems: 17.1-10
Assignment 4 published -
R Apr 4:
Reinforcement Learning
Slides: pptx, pdf.
Reading: Ch. 21, Recommended Problems: 22.2,4,6,8 -
T Apr 9: Deep Learning
Slides: pptx, pdf. -
R Apr 11: Deep Reinforcement Learning
Slides: pptx, pdf. -
T Apr 16: Natural Language Processing
Slides: pptx, pdf. -
R Apr 18: Speech
Slides: pptx, pdf.
Assignment 4 due M Apr 22 -
T Apr 23: Societal Impacts of AI
Slides: pptx, pdf. -
R Apr 25: Exam 2 Review
Review, Solutions. -
T Apr 30: Exam 2 Review
Review, Solutions. - Exam 2: Monday, May 6, 9:30-10:45am, ECEB 1002, 1013, 1015 and MatSE 100