CS-5854: Computational Systems Biology
Description: Phenomenological and data-driven models of molecular interaction networks. Applications of graph theory, discrete algorithms, data mining, and machine learning to the modeling and analysis of molecular interaction networks. Biological applications. Interaction between biological and computational disciplines in systems biology. Must have GBCB pre-requisite and CS pre-requisites or graduate standing in CSA or equivalent.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 8
Average GPA: 3.51 (A-)
Strict A Rate (No A-) : 29.34%
Average Withdrawal Rate: 0.00%
| T M Murali | 2023 | 56.2% | 43.8% | 0.0% | 0.0% | 0.0% | 0.0% | 3.51 | 8 |