Schedule (Subject to Change)
Wednesday, January 6:
Topic: Introduction
Handouts: Lecture Notes
Readings:
- R and N: Chapters 1 and 2
- P and M: Chapter 1
Friday, January 8:
Topic: Uninformed Search
Handouts: Lecture Notes
Readings:
- R and N:Ch 3.1-3.4
- P and M: Ch 3.1-3.5 and parts of 3.7
Wednesday, January 13:
Topic: Informed Search
Handouts:Lecture Notes
Readings:
- R and N:Ch 3.5-3.6
- P and M: Ch 3.6 and parts of 3.7
Announcements: Assignment 1 out.
Friday, January 15:
Topic: Constraint Satisfaction Problems
Handouts: Lecture Notes
Readings:
- R and N: Ch 6
- P and M: Ch 4.1-4.5
Wednesday, January 20:
Topic: Local Search
Handouts:Lecture Notes
Readings:
- R and N:Ch 4.1-4.2
- P and M: Ch 4.8-4.9
Friday, January 22:
Wednesday, January 27:
Topic: Adversarial Search
Handouts: Lecture Notes
Readings:
- R and N: Ch 5
- P and M: Ch 10.3
Announcements:
Assignment 1 due. Assignment 2 out.
Friday, January 29:
Topic: Decision Making
Handouts: Lecture Notes
Readings:
- R and N: Ch 16.1-16.4
- P and M: Ch 9.1-9.2
Wednesday, February 3:
Topic: Markov Decision Processes
Handouts: Lecture Notes
Readings:
- R and N:Ch 17.1-17.4
- P and M: Ch 9.5
Friday, February 5:
Topic: Markov Decision Processes/ Reinforcement Learning
Handouts: Lecture Notes
Readings:
- R and N:Ch 21.1-Ch 21.3
- P and M:
Wednesday, February 10:
Topic: Reinforcement Learning
Handouts: See handout from February 5
Readings:
Announcements: Midterm Exam in RCH 101 from 7:00pm-8:50pm.
Friday, February 12:
Topic: Uncertainty
Handouts: Lecture Notes
Readings:
- R and N: Ch 13.1-13.5
- P and M: Ch 6.1-6.2
Announcements: Assignment 2 due.
Wednesday, February 17:
Friday, February 19:
Wednesday, February 24:
Topic: Bayes Nets
Handouts: Lecture Notes
Readings:
- R and N: Ch 14.1-14.3
- P and M: Ch 6.1-6.4
Announcements: Assignment 3 out.
Friday, February 26:
Topic: Bayes Nets
Handouts: Lecture Notes
Readings:
- R and N: Ch 14.4
- P and M: Ch 6.4
Wednesday, March 2:
Topic: Hidden Markov Models and Reasoning Over Time
Handouts: Lecture Notes
Readings:
- R and N: Ch 15.1-15.3, 15.5
- P and M: Ch 6.5
Friday, March 4:
Topic: Decision Networks
Handouts: Lecture Notes
Readings:
- R and N: Ch 16.5-16.6
- P and M: Ch 9.2-9.4
Wednesday, March 9:
Topic: Multiagent Systems
Handouts: Lecture Notes
Readings:
- R and N: Ch 17.5-17.6
- P and M: Ch 10
Friday, March 11:
Topic: Multiagent Systems
Handouts: Lecture Notes
Readings:
- R and N: Ch 17.5-17.6
- P and M: Ch 10
Announcements: Assignment 3 due.
Wednesday, March 16:
Topic: Machine Learning (Decision Tree Learning)
Handouts: Lecture Notes
Readings:
- R and N: CH 18.1-18.4
- P and M: Ch 7.1-7.3.1
Announcements: Assignment 4 out.
Friday, March 17:
Topic: Machine Learning (Ensembles)
Handouts:Lecture Notes
Readings:
- R and N:Ch 18.6.3, 18.10
- P and M:Ch 7.4.2
Wednesday , March 23:
Topic: Machine Learning (Statistical Learning)
Handouts:Lecture Notes
Readings:
- R and N:Ch 20.1-20.2
- P and M: Ch 7.8
Friday, March 25:
No Class. University Closed.
Wednesday, March 30:
Topic: Machine Learning (EM)
Handouts:Lecture Notes
Readings:
- R and N: Ch 20.3
- P and M: Ch 11.1
Announcements: Assignment 4 due. Assignment 5 out.
Friday, April 1:
Topic: Machine Learning (Neural Networks)
Handouts:Lecture Notes
Readings:
- R and N: Ch 18.7
- P and M: Ch 7.4.1
Monday, April 4:
Topic: Ethics and Future Directions
Handouts:Lecture Notes
Readings:
Announcements: Assignment 5 due.
Thursday, April 14 from 12:30pm-3:00pm
Event: Final Exam
Location: MC 4059, MC 4060 and MC 4061