Graduate course on the modern algorithmic toolbox, meant for graduate students with a good mathematical background. Students need familiarity with discrete math, analysis of algorithms, basic analysis, probability theory, and graph theory. Class is aimed at students who want to learn more about the central ideas and algorithmic techniques that are used in modern data science applications. Class focuses on the theoretical underpinnings of these algorithms as well as their practical applications and implementation details.
2 terms
Other grades
University of California, Santa Cruz
CSE 209A at UCSC: average GPA 3.50 across 26 students. Grade distribution by term. Graduate course on the modern algorithmic toolbox, meant for graduate…
Average GPA: 3.50
Grade distribution records: 26 students across 2 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 5 | 19.2% |
| A | 3 | 11.5% |
| A- | 6 | 23.1% |
| B+ | 1 | 3.8% |
| B | 1 | 3.8% |
| C | 3 | 11.5% |
| S | 5 | 19.2% |
| U | 2 | 7.7% |
Based on 26 student grade records across 2 terms and 1 professor.
The course page is taking longer to load. This summary is still available.
We could not load the full course details. This summary is still available.
Still loading. This can take a moment on a slow connection.
Loading My Class Grades