Graduate Certificate in Computational Discovery and Engineering
Example Course Choices
The following course groupings are examples of possible choices for students from various departments.
Aerospace Engineering
- AERO 523 – Computational Fluid Dynamics I (Methods)
- EECS 587 – Parallel Computing (Methods)
- AOSS 477 – Space Weather Modeling (Applications)
Electrical Engineering
- MATH 671 – Scientific Computing – Algorithms, Computer Architecture, and Software (Methods)
- EECS 503 – Introduction to Numerical Electromagnetics (Methods)
- EECS 463 – Power System Design And Operation (Applications)
Physics
- PHYS 514 – Computational Physics (Methods)
- STATS 503 – Applied Multivariate Analysis (Methods)
- INFO 721 – Data Mining: Methods And Applications (Applications)
Information
- EECS 545 – Machine Learning (Methods)
- INFO 650 – Information Retrieval (Methods)
- INFO 767 – Advanced Natural Language Processing And Information Retrieval (Applications)
Mechanical Engineering
- ME 501 – Mathematical Methods (Methods)
- MATH 571 – Numerical Methods for Scientific Computing I (Methods)
- ME 505 – Finite Elements (Applications)
Chemistry
- PHYS 514 – Computational Physics (Methods)
- MATH 571 – Numerical Methods for Scientific Computing I (Methods)
- CHEM 571 – Quantum Chemistry (Applications)
Mathematics
- MATH 571 – Numerical Methods for Scientific Computing I (Methods)
- EECS 587 – Parallel Computing (Methods)
- AERO 522 – Viscous Flow (Applications)
Nuclear Engineering and Radiological Sciences
- Math 571 – Numerical Methods for Scientific Computing I (Methods)
- Phys 512 – Computational Physics (Methods)
- Aero 523 – Computational Fluid Dynamics I (Applications)