CSCI-B 551 ELEMENTS OF ARTIFICIAL INTELLIGENCE (3 CR.)
Introduction to major issues and approaches in artificial intelligence. Principles of reactive, goal-based, and utility-based agents. Problem-solving and search. Knowledge representation and design of representational vocabularies. Inference and theorem proving, reasoning under uncertainty, planning. Overview of machine learning.
2 classes found
Fall 2024
Component | Credits | Class | Status | Time | Day | Facility | Instructor |
---|---|---|---|---|---|---|---|
LEC | 3 | 7277 | Open | 6:30 p.m.–7:45 p.m. | MW | IF 1106 | Leake D |
Regular Academic Session / In Person
LEC 7277: Total Seats: 160 / Available: 112 / Waitlisted: 0
Lecture (LEC)
- B 551: CSCI-C 343 recommended
- Above class meets for evening exams, Sept. 25, Oct. 30 and Dec. 4 from 6:30 pm-7:45 pm
Component | Credits | Class | Status | Time | Day | Facility | Instructor |
---|---|---|---|---|---|---|---|
LEC | 3 | 8363 | Open | ARR | ARR | WB WEB | Blanco Rodriguez S |
Regular Academic Session / 100% Online All
LEC 8363: Total Seats: 150 / Available: 110 / Waitlisted: 0
Lecture (LEC)
- B 551: CSCI-C 343 recommended
- This is a 100% online class taught by IU Bloomington. No on-campus class meetings are required. If IU e-Texts are not used for this class, textbooks and other materials are available at your home campus bookstore.
- A portion of above course seats reserved for Data Science MS Online students. Luddy graduate students are given priority on the waitlist. Please contact the department if you have questions about registering for this course.