IDS 6606 Approaches to Network Analysis and Applications

Approaches to Network Analysis and Applications IDS 6606 is a graduate level course. It is co-taught with Dr. Wang in Computer Science and it is the core course for the Certificate in Network Analysis and Applications at UCF. It is in development and will be taught from Spring 2022 (projected)

Course Description

This course is co-organized and taught by a team of social and computer scientists in order to highlight the inherent interdisciplinary nature of network analysis.

Basic concepts in network science, issues and best practices in collecting data and performing network analysis. Applications from multiple fields including: landscape ecology, social networks, diffusion of strategy and opinions, social-ecological networks, epidemiology, and computing.

Student Learning Outcomes

A student who has passed the course will be able to:

  • General Knowledge
    • Explain the meaning of networks, network classes and basic network metrics and their uses.
    • Apply network analysis in research, showing the relationship between structure and function in selected systems.
    • Explain basic network properties of social, technical, and ecological systems
  • Applied Knowledge
    • Collect network data, demonstrating best practices and explaining any relevant issues
    • Write scripts to perform network analysis in Python and R
    • Perform hands-on network analysis
    • Use computational thinking for solving network-based problems
  • Students will be evaluated via:
    • Weekly discussions and exercises
    • Two presentations (can be group presentation)
    • One Final Essay (can be multi-authored)
Associate Professor

My research interests relate to assessinig and analyzing dynamics of social ecological systems, common pool resources, resilence of coastal systems and the relationship between cognitive abilities and group adaptabilty to socio-economic, political and environmental changes