ITCS 4152: Introduction to Computer Vision
University of North Carolina, Charlotte
Computer Vision is the study of enabling machines to "see" the visual world (i.e., understand images and videos). In this course, the students will learn fundamental computer vision algorithms and have opportunities to implement them. Further, we will be discussing more recent state-of-the-art visual representation learning approaches.
Average GPA: 2.76
Grade distribution records: 364 students across 15 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 114 | 31.3% |
| B | 73 | 20.1% |
| C | 49 | 13.5% |
| D | 20 | 5.5% |
| F | 31 | 8.5% |
| W | 53 | 14.6% |
Based on 364 student grade records across 15 terms and 6 professors.
Instructors
- Srijan Das 121 students, Average GPA 2.80
- Min Shin 63 students, Average GPA 2.88
- Shaoting Zhang 54 students, Average GPA 2.95
- Archit Parnami 48 students, Average GPA 2.00
- Stephen Welch 44 students, Average GPA 2.83
- Jianping Fan 33 students, Average GPA 3.38