1:10pm–3:40pm
HAMILTON HALL HAM 517
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
This course 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. Emphasis will be placed 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 artificial intelligence applications.
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Aggregated across every course Trenton Jerde has taught.
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Difficulty
3.1 / 5 · Moderate
Overall sentiment
Positive
In your week
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
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- Credits
- 3 credits
Reported workload
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