Spring 2022 not offered
|This course may be repeated for credit.|
An introduction to creating programs which appear to behave intelligently. Topics will include search algorithms for problem solving, as well as probabilistic reasoning including regression, classification and decision making. Sample topics include Bayesian Networks, basic Neural Networks and Reinforcement Learning.
||Gen Ed Area Dept:
|Course Format: Lecture||Grading Mode: |
||Prerequisites: COMP212 AND MATH228
||Fulfills a Major Requirement for: (COMP)