MATH-4414: Issues in Scientific Computing
Description: Theory and techniques of modern computational mathematics, computing environments, computational linear algebra, optimization, approximation, parameter identification, finite difference and finite element methods and symbolic computation. Project-oriented course; modeling and analysis of physical systems using state-of-the-art software and packaged subroutines.
Pathways: N/A
Course Hours: 3 credits
Sections Taught: 10
Average GPA: 3.23 (rounds to B+)
Strict A Rate (No A-) : 33.86%
Average Withdrawal Rate: 5.90%
Tao Lin | 2024 | 41.2% | 25.6% | 14.7% | 7.4% | 3.7% | 7.6% | 2.96 | 5 |
Alexey Onufriev | 2023 | 68.3% | 26.7% | 0.0% | 2.5% | 0.0% | 2.5% | 3.62 | 4 |
Jeffrey T Borggaard | 2023 | 33.3% | 44.4% | 0.0% | 0.0% | 11.1% | 11.1% | 3.00 | 1 |