Same school, new name. The School of Informatics and Computing is changing its name effective January 11, 2023. Learn more about the name change

INFO-B 446 Computational System Biology

3 credits

  • Prerequisites: PBHL-B 302, and BIOL-N 322 or BIOL-K 322
  • Delivery: On-Campus
  • 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.