INFO-B 446 Computational System Biology
Prerequisites: 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.
- Understanding the concepts of biological data and the different types of networks.
- Apply and conceptualize graph theories for biological data.
- Differentiate randomized networks and scale free networks.
- Organize, explore, and visualize biological data using networks.
- Evaluate the results of applying different system biology approaches over biological data.
- Evaluate system biology projects with respect to ethical considerations.
- Write a report and give an oral presentation grounded in an appropriate review of the literature.