601.664 Artificial Intelligence

Spring 2025

Instructor: Philipp Koehn (phi@jhu.edu)
TA: Steven Tan (wtan12@jhu.edu)
Class: Tuesdays and Thursdays 1:30pm, Maryland Hall 110
Office Hours: See post on Piazza
Gradescope (entry code 8K2P8J) ☆ Piazza (access code 0a91fj5s1af) ☆ Syllabus

Readings

Required textbook: Artificial Intelligence - A Modern Approach, Russell and Norvig, 4th edition, 2020

The following books are not required but suggested, if you want to learn more about certain subjects.

Philosophy of Mind, Jaegwon Kim, 3rd edition, 2011
Cognitive Psychology, E. Bruce Goldstein, 4th edition, 2015
Consciousness and the Brain, Stanislas Dehaene, 2014
Thinking, Fast and Slow, Daniel Kahneman, 2011
Neural Machine Translation, Philipp Koehn, 2020
Deep Learning and the Game of Go, Max Pumperla and Kevin Ferguson, 2019
Generative Deep Learning, David Foster, 2nd edition, 2023

Assignments

AI in the Public Imagination, due February 9
Game Playing, due March 2
Logic and Knowledge Representation, due March 16 - but encouraged to finish before midterm
Uncertainty, due April 6
Deep Learning and Reinforcement Learning, due April 20

Midterm and Final Exam

The exams are closed book but you are allowed to take one sheet of paper with notes (on both sides).

Final exam Monday, May 5th 9am-12pm. Past exams:

Spring 2025: midterm (solutions) final (solutions)
Spring 2024: midterm (solutions), final (solutions)
Spring 2020
Spring 2019
Spring 2017 (solutions)
Fall 2015

Lectures

Date	Topic	Readings
Tu Jan 21	Introduction	Russel and Norvig, Chapter 1
Artificial Intelligence in Context
Th Jan 23	AI in the Public Imagination
Tu Jan 28	Philosophy of Mind	Russel and Norvig, Chapter 26.1-2; Kim
Th Jan 30	Cognitive Neuroscience	Goldstein, Chapters 2, 3, 7; Dehaene, Chapters 1-3
Tu Feb 4	Cognitive Psychology	Goldstein, Chapters 5-7, 9, 12, 13
Intelligent Agents, Heuristic Search, and Game Playing
Th Feb 6	Intelligent Agents	Russel and Norvig, Chapter 2
Tu Feb 11	Basic Search	Russel and Norvig, Chapter 3.1-3.4
Th Feb 13	Informed Search	Russel and Norvig, Chapter 3.5-3.6, 4.1
Tu Feb 18	Game Playing	Russel and Norvig, Chapter 5
Th Feb 20	Constraint Satisfaction	Russel and Norvig, Chapter 6
Logic and Knowledge Representation
Tu Feb 25	Logical Agents	Russel and Norvig, Chapter 7.1-7.5
Th Feb 27	First Order Logic	Russel and Norvig, Chapter 8
Tu Mar 4	Inference in First-Order Logic	Russel and Norvig, Chapter 9
Th Mar 6	Knowledge Representation	Video part 1, part 2, part 3 Russel and Norvig, Chapter 12
Tu Mar 11	Planning	Video part 1, part 2, Russel and Norvig, Chapter 10, 11.3
Midterm and Spring Break
Th Mar 13	Midterm
Uncertainty
Tu Mar 25	Probabilistic Reasoning	Video part 1, part 2, part 3, Russel and Norvig, Chapter 13
Th Mar 27	Bayesian Networks	Video part 1, part 2, part 3, Russel and Norvig, Chapter 14
Tu Apr 1	Markov Decision Processes	Video part 1, part 2, part 3, Russel and Norvig, Chapter 15, 23.5
Machine Learning
Th Apr 3	Statistical Learning	Video part 1, part 2, part 3, Russel and Norvig, Chapter 20
Tu Apr 8	Deep Learning	Video part 1, part 2, part 3, part 4, Koehn, Chapter 5-6
Th Apr 10	Reinforcement Learning	Video part 1, part 2, part 3, Russel and Norvig, Chapter 21
Tu Apr 15	Deep Reinforcement Learning	Video part 1, part 2, part 3, part 4, part 5, Pumperla and Ferguson
Generative AI
Th Apr 17	Vision Models	Foster
Tu Apr 22	Language Models	Koehn, Chapter 7-8, 11
Th Apr 24	(no class)