AI, Imaging, Art
2:10pm–4:00pm
SCHERMERHORN HALL SCH 930
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
This bridge seminar welcomes graduate and advanced undergraduate students with backgrounds in art history or computer science (and related fields). We will interrogate intersections in artificial intelligence, machine vision, neural networks, visual culture, imaging, and art. Students will gain a foundation in the histories and technologies underlying the recent rise of neural networks and machine vision, as well as the more recent rise of generative AI, especially image generation. With this foundation, we will investigate a range of artistic, technological, mass-media, and legal developments in visual culture and AI. In addition to readings and seminar meetings, we will take advantage of the ample public and private AI-related programming at Columbia and in New York: lectures, exhibitions, screenings, studio visits with artists, etc. Students will also have the opportunity to work with custom generative AI models. Admission by application only. All students are expected to complete the readings and tutorials for the first class prior to the start of the semester
Reviews
Course experience
Aggregated across everyone who has taught this course.
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Instructor quality
n=6, 2008–2013
Aggregated across every course Noam M Elcott has taught.
Teaching quality
4.2 / 5
Grading fairness
No signal
Workload
No signal
Difficulty
1.5 / 5 · Easy
Overall sentiment
Positive
In your week
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 4 credits
Reported workload
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