Oct 31, 2024  
2024-25 Catalog 
    
2024-25 Catalog
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BIOL 331 - Computational Systems Biology


A survey of network models used to gain a systems-level understanding of biological processes. Topics include computational models of gene regulation, signal transduction pathways, protein-protein interactions, and metabolic pathways. Laboratory exercises will involve building a collection of biological networks from public data, implementing a graph library and foundational algorithms, and interpreting computational results. A programming-based independent project will answer biological questions by applying graph algorithms to experimental data.

Unit(s): 1
Group Distribution Requirement(s): Distribution Group III, Distribution Group III-Data Collection and Analysis
Prerequisite(s): BIOL 101  and BIOL 102 , and either BIOL 131  or CSCI 121  
Instructional Method: Lecture-laboratory
Grading Mode: Letter grading (A-F)
Group Distribution Learning Outcome(s):
  • Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
  • Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
  • Collect, interpret, and analyze data.



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