- Rui Zhang
- Office Hour: Friday 4-6pm @ W329 Westgate Building and Zoom

- Tuesday and Thursday, 4:35PM - 5:50PM @ Thomas Bldg 104

- Ryo Kamoi
- Office Hour: Wednesday 12-2pm @ W300

- Detailed syllabus is avaialbe here.

- Basic techniques for building intelligent computer systems
- Search, (games,) constraint satisfaction, uncertainty and probability, Bayes Rule, Naïve Bayes, Hidden Markov Models
- Introduction to fundamental concepts in machine learning: linear regression, linear regression classifier, perceptron learning rule
- In depth consideration of the role AI will play in our lives

- Artificial Intelligence: A Modern Approach, 3rd Edition by Stuart Russell & Peter Norvig. The sections on machine learning covered in the course are not in the 2nd Edition. Because this course is a prerequisite for machine learning, the 3rd Edition is recommended over the much cheaper 2nd Edition.
- Speech and Language Processing by Dan Jurafsky and James H. Martin.

Date | Topic | Material / Reading | Event | Due |
---|---|---|---|---|

Week 1Tuesday Jan 9 |
Introduction
[slides] |
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Thursday Jan 11 | Intelligent Agents
[slides] |
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Week 2Tuesday Jan 16 |
Search
[slides] |
HW 1 Out |
||

Thursday Jan 18 |
Search
[slides] |
|||

Week 3Tuesday Jan 23 |
Search
[slides] |
|||

Thursday Jan 25 | Game
[slides] |
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Week 4Tuesday Jan 30 |
Game
[slides] |
HW 1 Due |
||

Thursday Feb 1 | Game
[slides] |
HW 2 Out |
||

Week 5Tue Feb 7 |
Constraint Satisfaction Problem
[slides] |
|||

Thursday Feb 8 | Constraint Satisfaction Problem
[slides] |
|||

Week 6Tuesday Feb 13 |
Logic Agents
[slides] |
|||

Thursday Feb 15 | Logic Agents
[slides] |
HW 2 Due |
||

Week 7Tuesday Feb 20 |
Logic Agents
[slides] |
HW 3 Out |
||

Thursday Feb 22 | Probabilistic Agents
[slides] |
|||

Week 8Tuesday Feb 27 |
Probabilistic Agents
[slides] |
|||

Tuesday Feb 29 | Probabilistic Agents
[slides] |
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Week 9Tuesday March 5 |
Spring Break | |||

Thursday March 7 | Spring Break | |||

Week 10Tuesday March 12 |
Hidden Markov Models
[slides] |
HW 3 Due |
||

Thursday March 14 | Hidden Markov Models
[slides] |
HW 4 Out |
||

Week 11Tuesday March 19 |
Hidden Markov Models
[slides] |
|||

Thursday March 21 | Markov Decision Processes
[slides] |
|||

Week 12Tuesday March 26 |
Markov Decision Processes
[slides] |
|||

Thursday March 28 | Markov Decision Processes
[slides] |
HW 4 Due |
||

Week 13Tuesday April 2 |
Machine Learning
[slides] |
HW 5 Out |
||

Thursday April 4 | Machine Learning
[slides] |
|||

Week 14Tuesday April 9 |
Machine Learning
[slides] |
|||

Thursday April 11 | NLP, LLM, Generative AI
[slides] |
HW 5 Due |
||

Week 15Tuesday April 16 |
NLP, LLM, Generative AI
[slides] |
HW 6 Out |
||

Thursday April 18 | NLP, LLM, Generative AI
[slides] |
|||

Week 16Tuesday April 23 |
AI Ethics
[slides] |
|||

Thursday April 25 | AI Ethics
[slides] |
HW 6 Due |
||

TBD | Final Exam Due |