| Date | Lecture Topic | Reading | Assigned | HW Due |
|---|---|---|---|---|
| Wed, Jan 17 | Introduction | Chapter 1 | Homework 1 | |
| Mon, Jan 22 | Example: Learning to Play Checkers | Chapter 1 | ||
| Wed, Jan 24 | Concept Learning and Version Spaces | Chapter 2 | ||
| Mon, Jan 29 | Concept Learning and Version Spaces (cont) | Chapter 2 | ||
| Wed, Jan 31 | Decision Tree Learning | Chapter 3 | ||
| Mon, Feb 5 | Decision Tree Learning | Chapter 3 | ||
| Wed, Feb 7 | Artificial Neural Networks | Chapter 4 | Homework 2 | HOMEWORK 1 DUE | Mon, Feb 12 | Artificial Neural Networks | Chapter 4 | Wed, Feb 14 | Evaluating Hypotheses | Chapter 5 |
| Mon, Feb 19 | Evaluating Hypotheses | Chapter 5 | ||
| Wed, Feb 21 | Evaluating Hypotheses | Chapter 5 | ||
| Mon, Feb 26 | Computational Learning Theory | Chapter 7 | ||
| Wed, Feb 28 | Computational Learning Theory | Chapter 7 | Homework 3 | HOMEWORK 2 DUE |
| Mon, March 5 | Computational Learning Theory | Chapter 7 | ||
| Wed, March 7 | MIDTERM EXAM | |||
| Mon, March 12 | Spring Break | |||
| Wed, March 14 | Spring Break | |||
| Monday, March 19 | Go over midterm exam solutions | |||
| Wed, March 21 | Boosting | A Brief Introduction to Boosting | ||
| Mon, March 26 | Support Vector Machines | Statistical Learning and Kernel Methods | ||
| Wed, March 28 | Bayesian Learning | Chapter 6 | ||
| Mon, April 2 | Bayesian Learning | Chapter 6 | ||
| Wed, April 4 | Bayesian Learning | Chapter 6 | Homework 4 | |
| Mon, April 9 | HMMs, Instance-Based Learning | Chapter 8 | ||
| Wed, April 11 | Instance-Based Learning | Chapter 8 | HOMEWORK 3 DUE | |
| Mon, April 16 | Reinforcement Learning | Chapter 13 | ||
| Wed, April 18 | Reinforcement Learning | Chapter 13 | ||
| Mon, April 23 | Reinforcement Learning | Chapter 13 | ||
| Wed, April 25 | Course Overview | |||
| Mon, April 30 | Course Overview (cont) | HOMEWORK 4 DUE | ||
| Friday, May 4 | Final Exam, 10:30-12:30 in January 110 |