ENGR 121: Data Structures and Algorithms for Behavioral and Social Science Applications
San Jose State University
Represent and analyze behavioral and social science data using Python and data structures such as classes, trees, and graphs; use related algorithms to solve behavioral and social science problems. Prerequisite: ENGR 120 with C- or instructor consent
Average GPA: 3.33
Grade distribution records: 127 students across 8 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 6 | 4.7% |
| A | 35 | 27.6% |
| A- | 29 | 22.8% |
| B+ | 14 | 11.0% |
| B | 15 | 11.8% |
| B- | 12 | 9.4% |
| C+ | 4 | 3.1% |
| C | 6 | 4.7% |
| C- | 3 | 2.4% |
| D | 2 | 1.6% |
| F | 1 | 0.8% |
Based on 127 student grade records across 8 terms and 4 professors.
Instructors
- Farshid Marbouti 68 students, Average GPA 3.19
- Morris E Jones 29 students, Average GPA 3.72
- Marjan Orang 15 students, Average GPA 3.27
- Yaan Mirng Jeffrey Chen 15 students, Average GPA 3.30