CMDA-3605: Mathematical Modeling: Methods and Tools
Description: 3605: Mathematical modeling with ordinary differential equations and difference equations. Numerical solution and analysis of ordinary differential equations and difference equations. Stochastic modeling, and numerical solution of stochastic differential equations. 3606: Concepts and techniques from numerical linear algebra, including iterative methods for solving linear systems and least squares problems, and numerical approaches for solving eigenvalue problems. Ill-posed inverse problems such as parameter estimation, and numerical methods for computing solutions to inverse problems. Numerical optimization. Emphasis on large-scale problems.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 33
Average GPA: 2.86 (B)
Strict A Rate (No A-) : 23.44%
Average Withdrawal Rate: 3.35%
| Matthias Chung | 2017 | 29.7% | 28.3% | 26.9% | 3.7% | 4.3% | 7.1% | 2.84 | 5 |
| Omar Saucedo | 2023 | 68.4% | 28.5% | 1.6% | 0.0% | 1.6% | 0.0% | 3.61 | 2 |
| Nicole T Abaid | 2024 | 21.9% | 30.5% | 24.0% | 15.7% | 4.9% | 3.0% | 2.53 | 6 |
| Steffen Wilhelm Richard Werner | 2024 | 40.6% | 31.9% | 17.3% | 5.8% | 2.9% | 1.5% | 2.96 | 2 |
| Serkan Gugercin | 2021 | 31.0% | 30.7% | 14.1% | 11.2% | 8.1% | 4.9% | 2.70 | 5 |
| Eric Ufferman | 2023 | 36.9% | 37.4% | 19.8% | 3.2% | 0.0% | 2.7% | 3.13 | 4 |
| Jason R Wilson | 2021 | 31.3% | 40.2% | 18.4% | 4.6% | 4.2% | 1.3% | 2.88 | 6 |
| Lauren M Childs | 2021 | 29.8% | 34.6% | 23.0% | 6.8% | 2.0% | 3.6% | 2.84 | 3 |