CS 136: Intro to Comp Vision
San Jose State University
Fundamental and advanced Computer Vision algorithms. Basic image processing techniques (image convolution, and region and edge detection). Complex vision algorithms for contour detection, depth perception, dynamic vision, and object recognition. Core topics (color processing, texture analysis, and visual geometry). Prerequisite(s): CS 146, MATH 39, and CS 49C or equivalent (with a grade of "C-" or better in each). Computer Science, Data Science, and Software Engineering majors only.
Average GPA: 3.57
Grade distribution records: 90 students across 3 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 16 | 17.8% |
| A | 39 | 43.3% |
| A- | 11 | 12.2% |
| B+ | 2 | 2.2% |
| B | 12 | 13.3% |
| B- | 2 | 2.2% |
| C+ | 1 | 1.1% |
| C | 3 | 3.3% |
| C- | 1 | 1.1% |
| D+ | 1 | 1.1% |
| D | 1 | 1.1% |
| F | 1 | 1.1% |
Based on 90 student grade records across 3 terms and 1 professor.
Instructors
- Nada H Attar 90 students, Average GPA 3.56