Introduction to scientific machine learning covering dimension reduction techniques for scientific data, modern methods in sparse regression and compressed sensing, deep neural networks for modeling real-life systems, and neural ordinary differential equations.
2 terms
Other grades
University of California, Santa Cruz
AM 160 at UCSC: average GPA 3.61 across 73 students. Grade distribution by term. Introduction to scientific machine learning covering dimension reduction…
Average GPA: 3.61
Grade distribution records: 73 students across 2 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 29 | 39.7% |
| A | 15 | 20.5% |
| A- | 4 | 5.5% |
| B+ | 4 | 5.5% |
| B | 4 | 5.5% |
| D+ | 1 | 1.4% |
| D | 2 | 2.7% |
| D- | 1 | 1.4% |
| F | 1 | 1.4% |
| P | 1 | 1.4% |
| NP | 1 | 1.4% |
| S | 9 | 12.3% |
| U | 1 | 1.4% |
Based on 73 student grade records across 2 terms and 1 professor.
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