Required Materials

• AIMA: Artificial Intelligence: A Modern Approach, 4ed, by Stuart Russell and Peter Norvig, https://aima.cs.berkeley.edu/. US or Global Edition
• PMLAI: Probabilistic Machine Learning: An Introduction https://probml.github.io/pml-book/book1.html
• RLAI: Reinforcement Learning: An Introduction http://incompleteideas.net/book/the-book.html

Recommended Materials

• AICA: Artificial Intelligence: Foundations of Computational Agents, 3ed, by David Poole and Alan Mackworth, https://artint.info/3e/html/ArtInt3e.html
• AIPP: Artificial Intelligence: Principles and Practice, by George Luger, https://link.springer.com/book/10.1007/978-3-031-57437-5

Schedule

#	Topics	Reading/Resources	Exercises
Artificial Intelligence
1	Introduction to the Course	Syllabus Resources Meet Prof. Simpkins
2	Introduction to AI	AIMA: 1	Introduction to AI Questions Introduction to AI Answers
3	Intelligent Agents	AIMA: 2	Intelligent Agents Questions Intelligent Agents Answers
Problem Solving
4	Problem Solving	AIMA: 3.1-3.4	Problem Solving Questions Problem Solving Answers
5	Heuristic Search	AIMA: 3.5-3.6	Heuristic Search Questions Heuristic Search Answers
6	Local Search	AIMA: 4.1-4.2	Local Search Questions Local Search Answers
7	Nondeterministic Search	AIMA: 4.3-4.5	Local Search Questions Local Search Answers
8	Adversarial Search	AIMA: 5	Adversarial Search Questions Adversarial Search Answers
9	Constraint Satisfaction	AIMA: 6	Constraint Satisfaction Questions Constraint Satisfaction Answers
Knowledge, Reasoning, and Planning
10	Knowledge-Based AI	AIMA: 7-10	Knowledge-Based AI Questions Knowledge-Based AI Answers
11	Logical Agents	AIMA: 7
12	First Order Logic	AIMA: 8
13	Inference in First Order Logic	AIMA: 9
14	Knowledge Representation	AIMA: 10
15	Planning	AIMA: 11	Planning Questions Planning Answers
Uncertain Knowledge and Reasoning
16	Uncertainty	AIMA: 12
17	Bayesian Networks	AIMA: 13.1-13.2
18	Probabilistic Inference	AIMA: 13.3-13.4
19	Causality	AIMA: 13.5 Causality Elements of Causal Inference Causal ML Book
20	Probabilistic Temporal Reasoning	AIMA: 14.1-14.3
21	State Estimation	AIMA: 14.4-14.5
22	Probabilistic Programming	AIMA: 15
Machine Learning
23	Machine Learning	PMLAI: 1 AIMA: 19.1-19.6
24	Supervised Learning	AIMA: 19.1-19.6, 21.1-21.3
25	Statistical Learning	AIMA: 20
Decision Making and Reinforcement Learning
26	Utility Theory	AIMA: 16.1-16.4
27	Decision Theory	AIMA: 16.5-16.7
28	Multi-Agent Systems	AIMA: 18.1-18.2
29	Collective Decisions	AIMA: 18.3-18.4
30	Multi-Armed Bandits	RLAI: 2 AIMA: 17.3
31	Markov Decision Processes	RLAI: 3 AIMA: 17.1, 17.4-17.5
32	Dynamic Programming	AIMA: 17.2 RLAI: 4
33	Temporal-Difference Learning	AIMA: 22 RLAI: 6