Scientific Computing Concentration
- To give students a thorough knowledge of numerical methods, numerical analysis, and modelling for practical computing in a broad range of disciplines and applications; and
- To provide students rigorous research and analytical skills to evaluate research techniques, methodologies, and to interpret results in their own field and research.
Requirements
| Concentration Elective Courses | 21 units | |
| MATH3407 Advanced Linear Algebra | 3 units | |
| MATH3415 Vector Calculus | 3 units | |
| MATH3416 Complex Analysis | 3 units | |
| MATH3427 Real Analysis | 3 units | |
| MATH3605 Numerical Methods II | 3 units | |
| MATH3606 Partial Differential Equations | 3 units | |
| MATH3615 Introduction to Imaging Science | 3 units | |
| MATH3616 Numerical Methods for Differential Equations | 3 units | |
| MATH3625 Iterative Methods | 3 units | |
| MATH3626 Computational Statistics for Data Science | 3 units | |
| MATH4606 Functional Analysis | 3 units | |
| MATH4615 Introduction to Numerical Linear Algebra | 3 units | |
| MATH4815 Interior Point Methods for Convex Optimization | 3 units | |
| MATH4816 Optimization Theory and Techniques | 3 units | |
| MATH4817 Stochastic Models | 3 units | |
| MATH4665 Special Topics in Applied Mathematics I | 3 units | |
| MATH4666 Special Topics in Applied Mathematics II | 3 units | |
| MATH4667 Special Topics in Applied Mathematics III | 3 units | |
| 21 units | ||
