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4830. Computer Vision and Machine Learning for Image Analysis
3.00 credits
Prerequisites: MATH 2210Q; STAT 3025Q or 3345Q or 3375Q or MATH 3160; open only to students in the School of Engineering and declared Computer Science minors; juniors or higher. Recommended preparation: CSE 3500 and 4820.
Grading Basis: Graded
Computer vision, image processing, machine learning and deep learning techniques and their application to digital photography and medical image analysis. Students will gain theoretical and practical skills in 2D and 3D image classification, segmentation, reconstruction and registration using computer vision and machine learning.
Last Refreshed: 26-APR-24 05.20.16.357506 AM
| Term | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Location | Enrollment | Notes | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1243 13548 1 001 | Spring 2024 | Storrs | In Person | Nabavi, Sheida | 001 | Reg | MoWeFr 11:15am‑12:05pm |
MCHU 302 | 18/40 |