Class Detail
CSE 140 - 01 Artificial Intelligence
2020 Summer Quarter
Class Details
- Career
- Undergraduate
- Grading
- Student Option
- Class Number
- 71149
- Type
- Lecture
- Instruction Mode
- In Person
- Credits
- 5 units
- General Education
- Status
- Open
- Available Seats
- 13
- Enrollment Capacity
- 60
- Enrolled
- 47
- Wait List Capacity
- 0
- Wait List Total
- 0
OpenDescription
Introduction to the contemporary concepts and techniques of artificial intelligence, including any or all of: machine perception and inference, machine learning, optimization problems, computational methods and models of search, game playing and theorem proving. Emphasis may be on any formal method of perceiving, learning, reasoning, and problem solving which proves to be effective. This includes both symbolic and neural network approaches to artificial intelligence. Issues discussed include symbolic versus nonsymbolic methods, local versus global methods, hierarchical organization and control, and brain modeling versus engineering approaches. Lisp or Prolog may be introduced. Involves one major project or regular programming assignments.
Enrollment Requirements
Prerequisite(s): CSE 101.
Meeting Information
| Days & Times | Room | Instructor | Meeting Dates |
|---|---|---|---|
| TuTh 01:00PM-04:30PM | Norouzi,N. Covarrubias,M.D. Khan,F. |
06/22/20 - 07/24/20 |