Program: MSIS/PhD
Catalog Description
Computer vision is a field of artificial intelligence (AI) that enables computing systems to extract meaningful information from digital images, videos, and other visual inputs to make computable decisions. The camera captures digital photos and videos, and algorithms process and derive valuable information, which can help in making better decisions and recommendations. This course offers a comprehensive review of computer vision emphasizing its fundamental principles and their applicability in the real world, from fashion to deep face recognition.
Prerequisites
Graduate standing.
Restrictions
Enrollment in Information Studies (INF) courses is restricted to graduate students in the School of Information through registration periods 1 and 2, with outside students only being accepted during period 3.
Current and Upcoming Classes for this Course
| Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
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| INF 385T: Special Topics in Information Science: Computer Vision
Shounak Roychowdhury |
Spring Term 2026 |
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Past Classes for this Course
| Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
|---|---|---|---|---|---|---|
| INF 385T: Special Topics in Information Science: Computer Vision
Shounak Roychowdhury |
Spring Term 2025 |
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| INF 385T: Special Topics in Information Science: Computer Vision
Shounak Roychowdhury Syllabus |
Spring Term 2024 |
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| INF 385T: Special Topics in Information Science: Computer Vision
Shounak Roychowdhury Syllabus |
Spring Term 2023 |
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