Review of select topics in statistical physics including information theory, entropy, coupled systems, phase transitions, and symmetry breaking. Introduction to multivariate algorithms, with an emphasis on their foundations in statistical physics and classical mechanics. Notebooks, data preparation, cross-validation, supervised and unsupervised learning. Practical considerations for training and optimizing neural networks and related tools. (Formerly offered as Neural Networks, Statistical Physics and Computing.)
4 terms
Other grades
University of California, Santa Cruz
PHYS 152 at UCSC: average GPA 3.85 across 80 students. Grade distribution by term. Review of select topics in statistical physics including information theory…
Average GPA: 3.85
Grade distribution records: 80 students across 4 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 36 | 45.0% |
| A | 21 | 26.3% |
| A- | 4 | 5.0% |
| B+ | 2 | 2.5% |
| B | 3 | 3.8% |
| B- | 1 | 1.3% |
| C+ | 1 | 1.3% |
| C | 1 | 1.3% |
| P | 4 | 5.0% |
| NP | 3 | 3.8% |
| S | 3 | 3.8% |
| W | 1 | 1.3% |
Based on 80 student grade records across 4 terms and 1 professor.
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