MSAI3135
IMAGE PROCESSING
- Department
- Master of Sci in AI
- Terms offered
- 1
- Data refreshed
- Jun 27, 2026
Description
This course covers the fundamental techniques and practical applications of image processing, focusing on manipulating and analyzing visual data. Students will learn keymethods such as image filtering, edge detection, segmentation, and color processing. The course emphasizes hands-on implementation using Python and libraries such asOpenCV and PIL. Real-world applications of image processing in domains such as medical imaging, photography, and video processing will be explored. Ethicalconsiderations of image manipulation, particularly in areas like media and surveillance, will also be discussed
Syllabi
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Offering history & forecast 2026
2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 2030 Spring: not enough history to forecast. | 2030 Summer: not enough history to forecast. | 2030 Intersession: not enough history to forecast. |
| 2029 | 2029 Fall: not enough history to forecast. | 2029 Spring: not enough history to forecast. | 2029 Summer: not enough history to forecast. | 2029 Intersession: not enough history to forecast. |
| 2028 | 2028 Fall: not enough history to forecast. | 2028 Spring: not enough history to forecast. | 2028 Summer: not enough history to forecast. | 2028 Intersession: not enough history to forecast. |
| 2027 | 2027 Fall: not enough history to forecast. | 2027 Spring: not enough history to forecast. | 2027 Summer: not enough history to forecast. | 2027 Intersession: not enough history to forecast. |
| 2026 | 1 section | Not offered | Not offered | No data for this term |
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent first- Thu, 6:30 PM–9:30 PM JC204 2026
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2026 | Ahmed A. ElSayed | Lecture | 1 | 3 of 30 enrolled | 24970 |