
T Jan 15: Intro to AI
Reading: Ch. 1
Slides: pptx, pdf.
Recommended Problems: 1.1,3,5,79,11 
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: 2.25,1013 
R Jan 24: Uninformed Search: Tree Search, including BFS, DFS, IDS
Reading: Sec. 3.13.2
Slides: pptx, pdf.
Recommended Problems: 3.2,3,6,8,10,11,16,21,26(ad) 
T Jan 29: Informed Search: Greedy, A*
Reading: Sec. 3.33.6
Slides: pptx, pdf.
Recommended Problems: 3.14,23,26(eh),2729,31 
R Jan 31:
Constraint Satisfaction Problems
Reading: Ch. 6
Slides: pptx, pdf.
Recommended Problems: 6.29,1114,16
Assignment 1 due M Feb 4 
T Feb 5: Planning
Reading: Sec. 10.13
Slides: pptx, pdf.
Recommended Problems: 10.13, 10.911
Assignment 2 published 
R Feb 7: TwoPlayer Games
Reading: Sec. 5.14
Recommended Problems: 5.3, 5.7, 5.8, 5.1314
Slides: pptx, pdf. 
T Feb 12: Game Theory
Reading: Sec. 17.517.6
Recommended Problems: 17.17, 17.18, 17.21
Slides: pptx, pdf. 
R Feb 14: Probability
Reading: Ch. 13
Recommended Problems: 13.19, 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.

R Feb 21: Stochastic Games,
Imperfect Information, and Stochastic Search
Reading: Sec. 5.56
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)

T Mar 5: Bayesian Inference
and Bayesian Learning
Reading: Ch. 13, Recommended Problems: 13.1324, 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 18.618.7, Recommended Problems: 18.16,20,21,23,25; 20.4 
T Mar 12: Linear and PWL Polychotomizers: Softmax, OneHot Vectors, CrossEntropy
Slides: pptx, pdf.
Reading: Sections 18.618.7, Recommended Problems: 18.19,22 
R Mar 14:
Bayesian Networks
Slides: pptx, pdf.
Reading: Ch. 14, Recommended Problems: 14.18,1114;16.5,16.17 
T Mar 26:
Bayes Net Inference
Slides: pptx, pdf.
Reading: Ch. 20, Recommended Problems: 14.1516,20.13,20.6,20.8,20.10 
R Mar 28:
Hidden Markov Models
Slides: pptx, pdf.
Reading: Ch. 15, Recommended Problems: 15.16,1317
Assignment 3 due M Apr 1 
T Apr 2:
Markov Decision Processes
Slides: pptx, pdf.
Reading: Ch. 17, Recommended Problems: 17.110
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, 9:3010:45am, ECEB 1002, 1013, 1015 and MatSE 100