The Minor requires 12 credit hours of course work in computations and related areas plus a dissertation involving high performance computing. Two of the courses must be beyond the minimum course requirement for the student’s regular program. The courses must be selected from the list below, or be approved by the coordinator of the minor. At least one course must be from the Numerical Methods group and one course must be from the Scientific Computing group. Many of the courses are taught every year, thus providing ample opportunities to complete the minor during a doctoral study.

Numerical Methods

AME 60614 Numerical Methods
AME 50532 Computational Fluid Mechanics
AME 50541 Finite Elements for Structural Analysis
AME 90936 Computational Fluid Dynamics
AME 60741 Computational Nonlinear Solid Mechanics
CBE 60499 Nonlinear and Stochastic Optimization
CBE 60547 Computational Chemistry
CE60130 Finite Elements in Engineering
ACMS 60690 Numerical Analysis I
ACMS 60395 Numerical Linear Algebra
PHYS 50051/ACMS 50051: Numerical PDE Techniques for Scientists and Engineers.

Scientific (HP) Computing

ACMS 60212 Advanced Scientific Computing
CSE 60755 Parallel Computing

Data and Statistics

ACMS 60801 Statistical Interference
ACMS 60850 Applied Probability
ACMS 60852 Statistical Methods in Data Mining
ACMS 60885 Applied Bayesian Statistics
ACMS 70780 Categorical Discrete Data
ACMS 70860 Stochastic Analysis
AME 50559 Statistical Computational Methods for Science and Engineering
AME 70790 Bayesian Methods for Surrogate Modeling and Dimensionality Reduction
CSE 60647 Data Mining
CSE 60627 Machine Learning
CSE 60884 Complex Networks
CE 60140/40140: Applied/Computational probability

The minor is administrated by the Department of Aerospace and Mechanical Engineering, with a coordinator appointed by the department chair.

For information on how to add this minor, please contact: Karel Matous ().