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INFO-B 446 Computational System Biology

3 credits

Prerequisties: BIOL-K 101 (preferably BIOL-K 322) and CSCI 23000 or CIT 21500 or INFO I210 or NEWM N220

This course covers basic system biology and network analysis concepts and provides hands-on experience analyzing biological data. It equips students with in-demand network analytics skills to select, prepare, analyze, interpret, evaluate, and present biological data for improving outcomes in translational bioinformatics research and applications.

Learning Outcomes

  1. Understanding the concepts of biological data and the different types of networks.
  2. Apply and conceptualize graph theories for biological data.
  3. Differentiate randomized networks and scale free networks.
  4. Organize, explore, and visualize biological data using networks.
  5. Evaluate the results of applying different system biology approaches over biological data.
  6. Evaluate system biology projects with respect to ethical considerations.
  7. Write a report and give an oral presentation grounded in an appropriate review of the literature.

Course Delivery

  • On-Campus

Course Schedule

This course is not being offered this semester.

Syllabi