Class Number: 2117
Description: Hours: Three hours lecture in the lab per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
Description: This course presents several branches of mathematics that provide computational basis for Artificial Intelligence. The course covers Trees and Search, The Concepts of Predicate Logic, The Theory of Resolution, Nonmonotonic Reasoning, Probability Theory, Bayesian Networks, Fuzziness and Belief Theory, Classifier Systems, Math for Neural Networks, Elements of Statistics, Decision Trees and Optimization.
| Days | Time | Date Range | Location | Instructor |
|---|---|---|---|---|
| ARR | 08/22/2011 - 12/16/2011 | Online | William Wolfe |
Status: Open
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Start Date: 08/22/2011
End Date: 12/16/2011
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 16
Available Seats: 14
Wait List Capacity: 0
Wait List Total: 0
Enrollment Information
- Graduate Division
Notes
- MSCS