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: 26
Average GPA: 2.94 (rounds to B)
Strict A Rate (No A-) : 25.08%
Average Withdrawal Rate: 2.51%
| Nicole T Abaid | 2024 | 21.9% | 30.5% | 24.0% | 15.7% | 4.9% | 3.0% | 2.53 | 6 |
| Omar Saucedo | 2023 | 68.4% | 28.5% | 1.6% | 0.0% | 1.6% | 0.0% | 3.61 | 2 |
| Serkan Gugercin | 2021 | 36.0% | 33.5% | 12.5% | 7.6% | 5.4% | 5.0% | 2.95 | 3 |
| Eric Ufferman | 2024 | 39.8% | 36.8% | 18.3% | 3.0% | 0.0% | 2.2% | 3.17 | 5 |
| Steffen Wilhelm Richard Werner | 2024 | 39.9% | 34.1% | 15.8% | 6.4% | 2.8% | 1.0% | 2.98 | 3 |
| Jason R Wilson | 2021 | 35.7% | 34.3% | 18.8% | 5.2% | 3.4% | 2.6% | 2.93 | 3 |
| Lauren M Childs | 2021 | 29.8% | 34.6% | 23.0% | 6.8% | 2.0% | 3.6% | 2.84 | 3 |
| Yingda Cheng | 2024 | 44.7% | 31.6% | 21.1% | 2.6% | 0.0% | 0.0% | 3.15 | 1 |