{"id":22,"date":"2025-06-04T14:11:24","date_gmt":"2025-06-04T20:11:24","guid":{"rendered":"https:\/\/courses.cs.colostate.edu\/cs003\/?page_id=22"},"modified":"2025-08-15T20:02:13","modified_gmt":"2025-08-16T02:02:13","slug":"syllabus","status":"publish","type":"page","link":"https:\/\/courses.cs.colostate.edu\/cs440\/syllabus\/","title":{"rendered":"Syllabus"},"content":{"rendered":"\n

Instructor: Sarath Sreedharan
Email: ssreedh3\uff20colostate.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.<\/p>\n\n\n\n

As mentioned, the official textbook for the course will be\u00a0Artificial Intelligence: A Modern Approach<\/a>. 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:<\/p>\n\n\n\n

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

    Grading<\/h2>\n\n\n\n

    Please note that all the grading information currently posted is tentative.<\/p>\n\n\n