CS343 Artificial Intelligence-WB

Fall 2022, Tuesdays at 6pm CT, online
Unique number 52825
http://www.cs.utexas.edu/users/risto/cs343
Zoom links to class meetings and to office hours are in Canvas

Instructor:

Risto Miikkulainen
risto@cs.utexas.edu
Office hrs (online; until 12/12/22; exceptions):
Drop-in: Mon 1-1:30pm CT; By appt: Fri 2-3pm CT

TA:

Siddhant Agarwal
siddhant@cs.utexas.edu
Office hrs (online): Mondays 4-5pm CT

Text:

Artificial Intelligence: A Modern Approach. (Fourth Edition, 2020). Prentice-Hall.
(Third edition is ok as well). Available through Longhorn Textbook Access.

Course organization:

This course is fully online and in a flipped format. Each class has a designated topic, with a reading assignment and lecture videos. You need to do the reading, watch the videos, and turn in one question about them before each online class meeting (as well as a separate question for each of the three review sessions). In each class we discuss the topic with your questions as a starting point, and run hands-on exercises. I will have (optional) office hours where we can continue the discussion one-on-one. There will be four homework assignments that allow you to apply what you've learned to practical problems.

Grading:

10% Questions
40% Homework
20% Midterm (10/4 6-8pm CDT)
30% Final (12/12 3:30-5:30pm CST)
- No makeup exams without a valid proof of unexpected emergency.
- You have five late days for which there is no penalty. After those five days are used up over the semester, turning homework in late will reduce the grade 15% for the first 24hrs, 40% for the second, 75% for the third, and 100% after that, and turning questions in late 100% immediately.
- Plus/minus final grades will be used; attendance will not affect the final grade.
- Students with disabilities may request appropriate academic accommodations from the Services for Students with Disabilities.
- Cheating will not be tolerated; see CS Department Code of Conduct

More details:

Class Description
Class Schedule
Homework Assignments
Exams
Questions
Class Resources

Interesting and useful links:

Loebner Prize, BotPrize, Lojban
Chinook, Watson
An interactive COVID-19 Intervention optimization demo
Risto's interview on Neuroevolution and Evolutionary Computation in Lex Fridman podcast