DSBA 6326: Network Science
University of North Carolina, Charlotte
Network Science helps students design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people.� It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk.� This course integrates concepts across computer science, biology, physics, social network analysis, economics, and marketing.
Average GPA: 3.57
Grade distribution records: 16 students across 2 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 9 | 56.3% |
| B | 4 | 25.0% |
| C | 1 | 6.3% |
| W | 2 | 12.5% |
Based on 16 student grade records across 2 terms and 1 professor.
Instructors
- Mirsad Hadzikadic 16 students, Average GPA 3.57