Academic Programs Catalog

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:

1.   The following core course (3 credits):
CMSE 822 Parallel Computing 3
2. Two or more additional courses selected from the following:
AST 911 Numerical Techniques in Astronomy 2
CEM 883 Computational Quantum Chemistry 3
CEM 888 Computational Chemistry 3
CSE 836 Probabilistic Models and Algorithms in Computational Biology 3
CSE 845 Multi-disciplinary Research Methods for the Study of Evolution 3
CSE 881 Data Mining 3
ECE 837 Computational Methods in Electromagnetics 3
ME 835 Turbulence Modeling and Simulation 3
ME 840 Computational Fluid Dynamics and Heat Transfer 3
ME 872 Finite Element Method 3
MTH 850 Numerical Analysis I 3
MTH 851 Numerical Analysis II 3
MTH 852 Numerical Methods for Ordinary Differential Equations 3
MTH 950 Numerical Methods for Partial Differential Equations I 3
MTH 951 Numerical Methods for Partial Differential Equations II 3
MTH 995 Special Topics in Numerical Analysis and Operations Research 3 to 6
PHY 915 Computational Condensed Matter Physics 2
PHY 919 Modern Electronic Structure Theory 2
PHY 950 Data Analysis Methods for High-Energy and Nuclear Physics 2
PHY 998 High Performance Computing and Computational Tools for Nuclear Physics 2
PLB 810 Theories and Practices in Bioinformatics 3
QB 826 Introduction to Quantitative Biology Techniques 1
STT 802 Statistical Computation 3
STT 874 Introduction to Bayesian Analysis 3
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.