Schedule (Tentative)

Week

Topic

Assignment

Readings

Week 1: 1/23 & 1/26

What is AI?

Agents

Homework 1 (due 1/26)

Jordan (2019)

Reference: Russell & Norvig Chapter 2

Week 2: 1/30 & 2/2

Search Problems

Uninformed search

Homework 2 (due 2/5)

Starter Code

YLLATAILY Chapters 1-2

Reference: Russell & Norvig Chapter 3

Week 3: 2/6 & 2/9

Informed search

Adversarial search

Homework 3 (due 2/12)

Starter Code

YLLATAILY Chapter 3-4

Reference: Russell & Norvig Chapter 5

Reference: Minimax recap

Week 4: 2/13 & 2/16

Uncertainty in Search

Search practice worksheets

Search practice solutions

Reinforcement learning

Homework 4 (due 2/20)

Starter Code

Mitchell Chapter 8-9

Reference: RL recap

Reference: Flip side of RL

Week 5: 2/23

Regression

YLLATAILY Chapter 5-6

Reference: Jurafsky & Martin Chapter 5

Reference: Regression in more depth

Week 6: 2/27 & 3/1

Regression

Cat/dog classifier notebook

Cat/dog dataset

Midterm

Midterm Review

Week 7: 3/5 & 3/8

Loss in Regression

Gradient Descent

Gradient Descent game

Homework 5 (due 3/11)

Starter Code

YLLATAILY Chapter 7-8

Reference: Jurafsky & Martin Chapter 7

Reference: Gradient descent video

Week 8: 3/12 & 3/15

Neural networks

Feedforward networks

Feedforward notebook

Output of full training

YLLATAILY Chapter 9-10

Reference: Jurafsky & Martin Chapter 7

Week 9: No Class

Week 10: 3/26 & 3/29

Representation Learning

Language models

Homework 6 (due 4/1)

Starter Code

Reference: Jurafsky & Martin Chapter 9

Week 11: 4/2 & 4/5

Image generation models

CNN notebook

Output of training

Autoencoder notebook

Output of training

Attention

Homework 7 (due 4/8)

For Tuesday: The Illustrated Stable Diffusion blog post

For Friday: Chiang (2023)

Reference: Jurafsky & Martin Chapter 10

Reference: Stable Diffusion paper

Week 12: 4/9 & 4/12

Transformers

Pre-recorded video: Costs of Deep Learning

Pre-recorded video: the Deep Learning Pipeline

Homework 8 (due 4/16)

Starter Code

For Tuesday: NYT article on data harvesting

For Friday: Overview of transfer learning

Reference: Illustrated Transformer blog post

Reference: Jurafsky & Martin Chapter 11

Week 13: 4/16 & 4/19

AI Harm Modeling

Probe Tasks

Societal Impacts

Homework 9 (due 4/22)

Blodgett et al. (2021)

(warning: includes offensive language)

Birhane (2021)

Raji (2021)

Reference: Arvind Narayanan's talk on 21 definitions of fairness

Week 14: 4/23 & 4/26

Societal impacts

Current and Future AI

Final project description

Support Code

Hooker (2021)

Baria & Cross (2021)

Reference: Liao, Taori, Raji, & Schmidt (2021)

Week 15: 4/30

Project presentations

Folder for Final Presentation Slides