[Module 0] [Module 1] [Module 2] [Module 3] [Module 4] [Module 5]

Module 0: Introduction to AI & Agents

Thursday, August 31, 2023 to Tuesday, September 5, 2023

No homework for this module.

Lesson 1: Introduction to AI

Readings (due before the lecture):

Lesson 2: Agents

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 2

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Module 1: Search

Thursday, September 7, 2023 to Tuesday, September 26, 2023

Homework

• Search in Pac-Man

Lesson 1: Uninformed Search

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 3.1-3.4

Lesson 2: Informed Search

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 3.5-3.7

Lesson 3: Local Search

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 4.1-4.4

Lesson 4: Multi-Agent Search

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 5.1-5.4

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Module 2: Logical Agents

Thursday, September 28, 2023 to Tuesday, October 10, 2023

Homework

• Hunt the Wampa

Lesson 1: Propositional Logic

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 7.1-7.5

Lesson 2: First-Order Logic

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapters 8.1.2, 8.2, 8.3, 9.3

Lesson 3: Planning

Guest Lecturer: Dr. Cassie Kent

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 11.1-11.7

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Module 3: Sequential Decision Making

Thursday, October 12, 2023 to Thursday, October 26, 2023

Homework

• Reinforcement Learning in GridWorld & Pac-Man

Lesson 1: Markov Decision Processes (MDPs)

Guest Lecturer: Dr. Frank Ferraro

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 16.1-16.3, 17.1-17.2

Lesson 2: Reinforcement Learning (RL)

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 22.1-22.5

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Module 4: Probability & Stochastic Reasoning

Tuesday, October 31, 2023 to Thursday, November 16, 2023

No homework for this module.

Lesson 1: Intro to Probability

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 5.5, 12.1-12.4

Lesson 2: Statistical Learning

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 20.1

• Daniel Jurafsky & James H. Martin, Speech and Language Processing, Chapter 3: N-gram Language Models

Lesson 3: Bayes Nets

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 12.5-12.7, 13.1-13.4

Lesson 4: Naive Bayes

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, Chapter 19.1-19.6

• Daniel Jurafsky & James H. Martin, Speech and Language Processing, Chapter 4: Naive Bayes and Sentiment Classification

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Module 5: Machine Learning

Tuesday, November 28, 2023 to Tuesday, December 12, 2023

No homework for this module.

Lesson 1: Intro to Machine Learning

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 19.1, 19.2, 21.7

Lesson 2: Types of ML Algorithms

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 14.3, 19.3, 19.6, 19.7

Lesson 3: Perceptrons

Readings (due before the lecture):

• Stuart Russell & Peter Norvig, AIMA, Chapter 19.6

Lesson 4: Deep Neural Networks

Readings (due before the lecture):

• Daniel Jurafsky & James H. Martin, Speech and Language Processing, Chapter 7: Neural Networks and Neural Language Models

Lesson 5: Transformers

Readings (due before the lecture):

• Daniel Jurafsky & James H. Martin, Speech and Language Processing, Chapter 10: Transformers and Pretrained Language Models

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