Schedule (Tentative)
Week
Topic
Assignment
Readings
Week 1: 1/23 & 1/26
What is AI?
Agents
Homework 1 (due 1/26)
Reference: Russell & Norvig Chapter 2
Week 2: 1/30 & 2/2
Search Problems
Uninformed search
Homework 2 (due 2/5)
YLLATAILY Chapters 1-2
Reference: Russell & Norvig Chapter 3
Week 3: 2/6 & 2/9
Informed search
Adversarial search
Homework 3 (due 2/12)
YLLATAILY Chapter 3-4
Reference: Russell & Norvig Chapter 5
Week 4: 2/13 & 2/16
Uncertainty in Search
Search practice worksheets
Search practice solutions
Reinforcement learning
Homework 4 (due 2/20)
Week 5: 2/23
Regression
YLLATAILY Chapter 5-6
Reference: Jurafsky & Martin Chapter 5
Week 6: 2/27 & 3/1
Regression
Midterm
Midterm Review
Week 7: 3/5 & 3/8
Loss in Regression
Gradient Descent
Homework 5 (due 3/11)
YLLATAILY Chapter 7-8
Reference: Jurafsky & Martin Chapter 7
Week 8: 3/12 & 3/15
Neural networks
Feedforward networks
YLLATAILY Chapter 9-10
Reference: Jurafsky & Martin Chapter 7
Week 10: 3/26 & 3/29
Representation Learning
Language models
Homework 6 (due 4/1)
Reference: Jurafsky & Martin Chapter 9
Week 11: 4/2 & 4/5
Computer Vision models
Attention
Homework 7 (due 4/8)
Reference: Jurafsky & Martin Chapter 10
Week 12: 4/9 & 4/12
Transfer Learning
Homework 8 (due 4/15)
Blodgett et al. (2021)
(warning: includes offensive language)
Reference: Jurafsky & Martin Chapter 11
Week 13: 4/16 & 4/19
Societal impacts
Homework 9 (due 4/22)
Week 14: 4/23 & 4/26
Societal impacts
Final project description
Week 15: 4/30
Project presentations