Introduction, AI Ethics

• Read the 2016 AI100 Study Panel Report
• Write a 500-word response to one or more of the sections indicating your reactions (e.g. agreement, disagreement, musings, etc.).
• [Week 1a response form]

• Textbook Chapter 1 through the end of Section 1.1 (Rest of Chapter 1 is optional - we recommend skimming it at least)
• Textbook Chapter 2
• For your response, select one real or imaginable agent not discussed in class or in the readings, give a PEAS description of the task environment, and characterize it in terms of the properties listed in Section 2.3.2.
• [Week 1b response form]

• If you don't have a CS UNIX account (e.g. because you're a non-CS major), sign up for a temporary account IMMEDIATELY!

• Project 0: Unix/Python/Autograder tutorial

Search

• Textbook Chapter 3
• [Week 2 response form]

• Homework 1: Search

• Project 1: Search in Pacman

Constraint Satisfaction Problems and Local Search

• Textbook Chapter 6
• Textbook Sections 4.1 and 4.2 (Rest of Chapter 4 is optional - we recommend skimming it at least)
• [Week 3 response form]

• Homework 2: CSPs

Adversarial Search, Utilities

• Textbook Chapter 5 through the end of Section 5.5 (Rest of chapter 5 is optional - we recommend at least skimming it)
• Textbook Chapter 16 through the end of Section 16.3
• [Week 4 response form]

• Homework 3: Games

• Project 2: Multi-Agent Pacman

Markov Decision Processes

• Textbook Chapter 17 through the end of Section 17.3
• Sutton and Barto Chapters 3 and 4
• [Week 5 response form]

• Homework 4: MDPs

Reinforcement Learning

• Textbook Chapter 21
• Sutton and Barto Sections 6.1, 6.2, and 6.5
• [Week 6 response form]

• Homework 5: Reinforcement Learning

• Project 3: Reinforcement Learning

Bayes Nets: Representation and Inference

• If you need a review of Probability, Textbook Chapter 13 through the end of 13.5 (optional). We suggest at least skimming it to familiarize yourselves with the book's notation.
• Textbook Chapter 14 through the end of Section 14.5
• Textbook Section 14.7. (You can skim this part - it is mainly to address questions about what alternatives there are to probabilistic models of uncertainty).
• [Week 7 response form]

• Homework 6: Probability and Bayes nets

Midterm

• [Survey form]

(Hidden) Markov Models, Particle Filters, and VPI

• Textbook Chapter 15 through the end of Section 15.3.
• Textbook Section 15.4 is optional (we recommend skimming it at least)
• Textbook Chapter 15.5
• Textbook Sections 16.5 and 16.6
• [Week 9 response form]

• Homework 7: Bayes Nets: Sampling, Decision Diagrams, VPI + HMMs, and Particle Filtering

• Project 4: Bayes Nets

• Capture the Flag Contest (OPTIONAL)

Naive Bayes and Perceptrons

• Textbook Chapter 18 through the end of Section 18.2
• Skim Sections 18.3, but pay attention to the definition of overfitting in 18.3.5.
• Section 18.4
  • Section 18.5 is optional
• Section 18.6 except Sections 18.6.2 and 18.6.4
  • Sections 18.6.2 is optional (18.6.4 is assigned next week)
• Textbook Chapter 20 through the end of Section 20.2
  • You can skim 20.2.3 if you're not comfortable with reasoning about continuous distributions (e.g. Gaussians).
  • 20.2.5 is just an overview without all the details - do your best.
  • Textbook Section 20.3 is optional
• [Week 10 response form]

• Homework 8: Naive Bayes and Perceptrons

• Project 5: Ghostbusters

Deep Learning

• Textbook Section 18.6.4
• Textbook Section 18.7
• Watch the Berkeley course Deep Learning I lecture, starting at minute 27
• Watch the Berkeley course Deep Learning II lecture (parts of minutes 5-15 are review from the first lecture)
• [Week 11 response form]

• Homework 9: Neural networks and Optimization

SVMs, Kernels, and Clustering

• Sections 18.8, 18.9, and 18.11.
  • Section 18.10 is optional.
• [Week 12 response form]

• Project 6: Classification

Classical Planning

• Textbook Chapter 10. (Focus on Sections 10-10.3)
• [Week 13 response form]

Philosophical Foundations

• Textbook Chapters 26 and 27
• Please include in your response if/how your thoughts about any of the questions considered in the chapters have changed since before you took the course.
• [Week 14 response form]