MATH 178: Mathematical Modeling
San Jose State University
An introduction to modern quantitative modeling and data¿analysis techniques. Topics from model fitting and selection, difference equations, data processing, and network analysis will be used to model a range of applied problems from scientific fields using contemporary software packages. Prerequisite(s): MATH 39 (with a grade of "C-" or better) or instructor consent. Allowed Declared Major: Mathematics major/minor or Computer Science.
Average GPA: 3.00
Grade distribution records: 400 students across 8 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 33 | 8.3% |
| A | 80 | 20.0% |
| A- | 51 | 12.8% |
| B+ | 24 | 6.0% |
| B | 64 | 16.0% |
| B- | 32 | 8.0% |
| C+ | 25 | 6.3% |
| C | 43 | 10.8% |
| C- | 28 | 7.0% |
| D+ | 3 | 0.8% |
| D | 5 | 1.3% |
| D- | 1 | 0.3% |
| F | 11 | 2.8% |
Based on 400 student grade records across 8 terms and 4 professors.
Instructors
- Mohammed Yahdi 199 students, Average GPA 2.96
- Giang T le 132 students, Average GPA 2.89
- Bradley W Jackson 39 students, Average GPA 3.41
- Patrick Allison Murphy 30 students, Average GPA 3.23