Instructor: Sarath Sreedharan
Email: ssreedh3＠colostate.edu
Communication Policy: I primarily use email for all communication. We will also have a class teams group, where you can paste your questions. For more general, non-personal questions, Teams is generally recommended as more people will see it, including the TA and other students. So, even before I can get to it, others who may know the answer might be able to chime in.

As mentioned, the official textbook for the course will be Artificial Intelligence: A Modern Approach. To ensure a comprehensive understanding of AI, additional materials will be provided when topics outside the scope of the textbook are covered. Some of the topics that will be covered in the class will include:

1. Agent architecture and environment
2. Agent types
3. Search
4. Adversarial Search
5. Propositional Logic
6. Acting under uncertainty
7. Rational-Decision Making
8. Sequential-Decision Making
9. Reinforcement Learning
10. Inductive Learning From Data

Grading

Please note that all the grading information currently posted is tentative.

Calculation of the final class score is the sum of the grade points obtained for each category. The final point score will not be curved. The assignment of letter grades will be made as follows: