CS 163: Data Science Senior Project
San Jose State University
Semester-long individual or team project. Apply knowledge and technology to solve a realistic data science problem, including the entire process of collecting and processing real-world data, applying suitable analytic methods, explaining analysis outcomes, and making appropriate recommendations. Prerequisite(s): CS 100W, CS 131, and either CS 156 or CS 171.
Average GPA: 3.45
Grade distribution records: 110 students across 3 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 3 | 2.7% |
| A | 47 | 42.7% |
| A- | 10 | 9.1% |
| B+ | 6 | 5.5% |
| B | 31 | 28.2% |
| B- | 6 | 5.5% |
| C | 6 | 5.5% |
| D | 1 | 0.9% |
Based on 110 student grade records across 3 terms and 2 professors.
Instructors
- Genya Ishigaki 81 students, Average GPA 3.47
- Vuthea Chheang 29 students, Average GPA 3.38