ITIS 8326: 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: 3.33
Grade distribution records: 3 students across 1 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 1 | 33.3% |
| B | 2 | 66.7% |
Based on 3 student grade records across 1 term and 1 professor.
Instructors
- Mirsad Hadzikadic 3 students, Average GPA 3.33