MATH 151: Fndmntl Data Science
San Jose State University
Introduction to data mining for Applied Mathematics major. Topics: data cleaning, proximity and similarity measures, dimension reduction, regression, classification, clustering, privacy, and ethics. Prerequisite(s): MATH 39, MATH 163, and MATH 167R, all with a C- or better, or instructor consent. Allowed Declared Major: Applied Mathematics or Mathematics major or any Mathematics minor.
Average GPA: 2.72
Grade distribution records: 67 students across 5 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 6 | 9.0% |
| A | 12 | 17.9% |
| A- | 7 | 10.4% |
| B+ | 6 | 9.0% |
| B | 7 | 10.4% |
| B- | 5 | 7.5% |
| C+ | 2 | 3.0% |
| C | 7 | 10.4% |
| C- | 4 | 6.0% |
| D+ | 2 | 3.0% |
| D | 2 | 3.0% |
| F | 7 | 10.4% |
Based on 67 student grade records across 5 terms and 3 professors.
Instructors
- Cristina Tortora 28 students, Average GPA 2.95
- Antonio Punzo 22 students, Average GPA 2.85
- Tahir Bachar Issa 17 students, Average GPA 2.16