CIS 412: Artificial Intelligence - spring
Prerequisite: CIS 360; C or Better
General Education requirement: Natural Science Technology
Artificial intelligence problem-solving paradigms. The course covers heuristic versus algorithmic methods, rational and heuristic approaches, and description of cognitive processes; and objectives of work in artificial intelligence, the mid-brain problem and nature of intelligence, simulation of cognitive behavior, and self-organizing systems. Examples are given of representative applications.
| 2024 Spring | ||||||||
|---|---|---|---|---|---|---|---|---|
| Class# | Sct | Type | Seats | Units | ||||
| 10932 | 01 | Lecture | 40 | 3.00 | ||||
| Days | Start | End | Location | |||||
| MON TUE WED THU FRI SAT | 3:00 PM EDT | 4:15 PM EDT | TEX-102 | |||||
| Instructor: Allison Poh | Class status: O | |||||||
| Prerequisite: CIS 360; C or Better | ||||||||
| Enrollment Section | ||||||||
| Class instruction mode: In Person | ||||||||