CS 176: Introduction to Social Network Analysis
San Jose State University
The Web and social networks are complex networks. We study them by unifying tools from different disciplines: computer science, economics, and social sciences. Topics include graph theory, information networks, search, advertisement, auctions. Prerequisite(s): CS 146 (with a grade of C-). Computer Science, Data Science, Computer Science and Linguistics, or Software Engineering majors only, or instructor consent.
Average GPA: 3.55
Grade distribution records: 135 students across 5 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 33 | 24.4% |
| A | 41 | 30.4% |
| A- | 15 | 11.1% |
| B+ | 18 | 13.3% |
| B | 19 | 14.1% |
| B- | 2 | 1.5% |
| C+ | 1 | 0.7% |
| C | 2 | 1.5% |
| F | 4 | 3.0% |
Based on 135 student grade records across 5 terms and 1 professor.
Instructors
- Aikaterini Potika 135 students, Average GPA 3.55