CSE 164: Computer Vision
University of California, Santa Cruz
Introduces both the basic computer vision concepts and the advanced deep learning methods for computer vision. Topics include fundamentals of image formation, camera imaging geometry, early-/mid-/high-level vision, basics of machine learning and convolutional neural networks for vision.
Average GPA: 3.42
Grade distribution records: 112 students across 4 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 9 | 8.0% |
| A | 38 | 33.9% |
| A- | 12 | 10.7% |
| B+ | 7 | 6.3% |
| B | 10 | 8.9% |
| B- | 5 | 4.5% |
| C+ | 2 | 1.8% |
| C | 3 | 2.7% |
| C- | 1 | 0.9% |
| F | 4 | 3.6% |
| P | 15 | 13.4% |
| NP | 4 | 3.6% |
| S | 1 | 0.9% |
Based on 112 student grade records across 4 terms and 1 professor.
Instructors
- Cihang Xie 112 students, Average GPA 3.42