CS-5424: Computational Cell Biology
Description: Use of mathematical models (nonlinear ordinary differential equations and stochastic processes) and simulation algorithms to explore the complex feedback circuits that control the behavior of living cells. Concepts and techniques from dynamical systems theory, bifurcation analysis, numerical methods, SBML (systems biology makeup language) and Matlab programming. Applications in gene regulatory networks, cell cycle control, circadian rhythms, cell signaling.
Pathways: N/A
Course Hours: 3 credits
Sections Taught: 7
Average GPA: 3.77 (A)
Strict A Rate (No A-) : 57.70%
Average Withdrawal Rate: 0.00%
| John J Tyson | 2011 | 83.4% | 0.0% | 16.7% | 0.0% | 0.0% | 0.0% | 3.62 | 1 |
| Staff Palmisano | 2014 | 16.7% | 83.4% | 0.0% | 0.0% | 0.0% | 0.0% | 3.37 | 1 |
| Young Cao | 2017 | 98.5% | 1.5% | 0.0% | 0.0% | 0.0% | 0.0% | 3.89 | 5 |