Program:
High-Performance Computing - Graduate Certificate
Award Type:
Graduate Certificate Program
Department:
Computational Math, Science and Engineering EGR
Excerpt from the official Academic Programs Catalog:
Listed below are the approved requirements for the program from the official Academic Programs Catalog.
Students must consult their advisors to learn which specific requirements apply to their degree programs.
College of Engineering
Department of Computational Mathematics, Science and Engineering
Graduate Study
High-Performance Computing - Graduate Certificate
The Graduate Certificate in High-Performance Computing is intended for students with interest in applying computational and data science approaches that require parallel and/or high-performance computing to their research problems, or who generally desire broad training in parallel computational methodology.
Requirements for the Graduate Certificate in High-Performance Computing
Students must complete a minimum of 9 credits from the following:
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1. |
The following core course (3 credits): |
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CMSE |
822 |
Parallel Computing |
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3 |
2. |
Two or more additional courses selected from the following: |
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AST |
911 |
Numerical Techniques in Astronomy |
2 |
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CEM |
883 |
Computational Quantum Chemistry |
3 |
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CEM |
888 |
Computational Chemistry |
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3 |
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CSE |
836 |
Probabilistic Models and Algorithms in Computational Biology |
3 |
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CSE |
845 |
Multi-disciplinary Research Methods for the Study of Evolution |
3 |
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CSE |
881 |
Data Mining |
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3 |
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ECE |
837 |
Computational Methods in Electromagnetics |
3 |
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ME |
835 |
Turbulence Modeling and Simulation |
3 |
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ME |
840 |
Computational Fluid Dynamics and Heat Transfer |
3 |
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ME |
872 |
Finite Element Method |
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3 |
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MTH |
850 |
Numerical Analysis I |
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3 |
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MTH |
851 |
Numerical Analysis II |
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3 |
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MTH |
852 |
Numerical Methods for Ordinary Differential Equations |
3 |
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MTH |
950 |
Numerical Methods for Partial Differential Equations I |
3 |
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MTH |
951 |
Numerical Methods for Partial Differential Equations II |
3 |
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MTH |
995 |
Special Topics in Numerical Analysis and Operations Research |
3 to 6 |
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PHY |
915 |
Computational Condensed Matter Physics |
2 |
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PHY |
919 |
Modern Electronic Structure Theory |
2 |
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PHY |
950 |
Data Analysis Methods for High-Energy and Nuclear Physics |
2 |
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PHY |
998 |
High Performance Computing and Computational Tools for Nuclear Physics |
2 |
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PLB |
810 |
Theories and Practices in Bioinformatics |
3 |
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QB |
826 |
Introduction to Quantitative Biology Techniques |
1 |
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STT |
802 |
Statistical Computation |
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3 |
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STT |
874 |
Introduction to Bayesian Analysis |
3 |
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Additional courses at the 800-level or above may be used to fulfill this requirement if approved by the CMSE graduate advisor. Students must have a minimum 3.0 grade-point average in courses applied to the certificate in order for it to be awarded. |