CMDA-3606: 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 differencee 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. III-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: 25
Average GPA: 2.78 (rounds to B-)
Strict A Rate (No A-) : 18.79%
Average Withdrawal Rate: 2.20%
| Christopher A Beattie | 2021 | 28.3% | 36.8% | 23.2% | 8.1% | 2.3% | 1.3% | 2.77 | 6 |
| Yingda Cheng | 2023 | 29.4% | 8.8% | 32.3% | 20.6% | 8.8% | 0.0% | 2.28 | 1 |
| Daniel E Appelo | 2023 | 19.5% | 33.2% | 22.2% | 11.1% | 8.3% | 5.6% | 2.51 | 1 |
| Agnieszka K Miedlar | 2023 | 19.3% | 26.7% | 23.8% | 7.7% | 10.3% | 12.2% | 2.47 | 2 |
| Serkan Gugercin | 2023 | 45.9% | 23.9% | 14.8% | 11.5% | 2.4% | 1.6% | 2.97 | 3 |
| Julianne Chung | 2021 | 30.6% | 41.1% | 21.2% | 3.1% | 2.4% | 1.7% | 2.92 | 3 |
| Mark P Embree | 2022 | 31.1% | 34.7% | 23.3% | 5.7% | 3.9% | 1.3% | 2.85 | 4 |
| Jeffrey T Borggaard | 2024 | 25.6% | 40.2% | 23.6% | 7.4% | 2.4% | 0.6% | 2.78 | 4 |
| Eric Ufferman | 2024 | 38.3% | 32.4% | 26.5% | 2.9% | 0.0% | 0.0% | 3.03 | 1 |