CSCE 582 - Bayesian Networks and Decision Graphs
Class Session: Monday, January 13, 2025 - Wednesday, May 07, 2025
Credit: 3 semester hours of credit
Instructor: Marco Valtorta
Term: Spring 2025
Course Description
Normative approaches to uncertainty in artificial intelligence. Probabilistic and causal modeling with Bayesian networks and influence diagrams. Applications in decision analysis and support. Algorithms for probability update in graphical models.Prerequisite: C or better in either CSCE 106 or CSCE 145 and either STAT 509 or STAT 515.FS: 12/06/2023.
College |
EC - Molinaroli College of Engineering and Computing |
Level |
Undergraduate |
Section |
J56 |
Instructional Method |
DWEBS 100% Web Synchronous |
CRN |
59734 |
Restrictions |
CAMPUSICOL - USC Columbia FOSALLE999A - Conditional |
Information is accurate as of January 8, 2025 (Subject to change)
Special Fee Notification
Students may be required to be proctored during online test completion. If students are unable to attend test proctoring sessions in person at the Distributed Learning office, additional fees may apply for online test proctoring if the course requires online testing.