University of Illinois Urbana-Champaign The Grainger College of Engineering 5 courses 16 total credits
for the Graduate Concentration in Computational Science & Engineering The heart of Computational Science and Engineering (CSE) is to develop innovative ways of solving engineering and scientific problems using computation as a tool. This new form of science compresses the development process in engineering and engenders knowledge discovery with a new paradigm in many areas because it enables “virtual experiments” and helps focus physical experiments to reduce or eliminate trial-end-error laboratory-based approaches. Further, it teaches students to solve complex problems with prevailing computer technology. The CSE graduate concentration is designed to provide graduate students at both the Masters and PhD levels with a solid base in problem-solving using computation as a major tool for modeling complicated problems in science and engineering. This concentration is not part of the MEng in Engineering degree program.
| Total Hours | 16 credits |
Required Courses
Core Course Work: Complete two courses (4 hours each) from the list below. Computing Elective (8 hours) Complete two courses (4 hours each) from the approved list. The application coursework must be distinct from the core courses (no double-counting is allowed). Additional Requirement. M.S. and Ph.D. Thesis Requirement: The graduate thesis must have a significant computational component, and the thesis committee must include at least one CSE-affiliated faculty. M.S., Non-thesis Requirement: Must complete a 4- hour independent study/Capstone Project course, where the project is supervised by a CSE-affiliated faculty. The independent study project must comprise sufficient computational...
| Code | Course Title | Credits |
|---|---|---|
| CSE 401 | Numerical Analysis | 3-4 |
| CSE 402 | Parallel Progrmg: Sci & Engrg | 3-4 |
| CSE 408 | Applied Parallel Programming | 4 |
| CSE 510 | Numerical Methods for PDEs | 4 |
| CSE 527 | Scientific Visualization | 4 |
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