Fall 2025
Machine Intelligence
, 0 pts, GU4836Machine 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
