Courses

Fall 2025

Machine Intelligence

, 0 pts, GU4836

Machine Intelligence

This seminar will survey historical and modern developments in machine intelligence from fields such as psychology, neuroscience, and computer science, and from approaches such as cybernetics, artificial intelligence, machine learning, robotics, connectionism, neural networks, and deep learning. The emphasis is on the conceptual understanding of topics. The course does not include, nor require a background in, computer programming and statistics. The overall goal is for students to become informed consumers of applications of artificial intelligence.

Section Number
001
Call Number
11139
Day, Time & Location
T 6:10PM-8:00PM 200B Schermerhorn Hall [SCH]
Instructor
Trenton Jerde