Scientific Computation Applications Courses
Applications Courses are intended to expose students to computational methods and mathematical modeling as may be relevant to their science discipline.
I. Requirements
These courses will be selected from a list of courses offered by the various Departments and approved by the Graduate Committee for the Program. The content of approved courses must be primarily in mathematics or computational science. Each student's Study Advisory Committee, working with the student, will recommend a set of Applications courses.
Like the core science courses, Applications Courses should be selected with advice from the Departments that teach the courses. Students planning their programs should make sure the courses they choose are being taught regularly. The following examples illustrate courses that might be appropriate for the Scientific Computation program.
Optimization
ENCH 737 Chemical Process Optimization
ENME 610, 625 Engineering Optimization I and II
AMSC 764 Advanced Numerical Optimization
BMGT 831 Operations Research: Linear Programming and Network Analysis
Applied Numerical Methods PDE/ODE
AMSC 763 Advanced Linear Numerical Analysis
AMSC 715 Numerical Methods for Evolution Partial Differential Equations
AMSC 714 Numerical Methods For Stationary PDEs
ENME 674 Finite Element Methods
ENAE 653 Nonlinear Finite Element Analysis
Numerical Methods in Sciences
ASTR 698C Computational Astrophysics
ENAE 652 Computational Structural Mechanics
ENAE 684,685 Computational Fluid Dynamics I and II
ENCH 739 Modern Computing Techniques in Process Engineering
ENEE 789C: Advanced topics in electrophysics: numerical methods in electromagnetism
ENME 645, 646 Computational Fluid Dynamics and Heat Transfer I and II
AOSC 614-625 Numerical Weather Forecasting & Data Assimilation
STAT 798C Computational Methods in Statistics
AOSC 614 Atmospheric Modeling, Data Assimilation and Predictability
STAT 705 Computational Statistics
CMSC 828D
CMSC 828V Advanced topics: Numerical Methods for Data Science and Machine Learning
Mathematical/Statistical Modeling in Sciences
ENCE 630,730 Environmental and Water Resource Systems I and II
ENCE 731 Advanced Ground Water Hydrology
ENCH 753 Aerosols and Particulate Science
ENCH 869 Advanced Computer-Aided Process Engineering
ENEE 644: Computer-aided design of digital systems
ENEE 694: Physics and simulation of semiconductor devices
ENME 616 Computer-Aided Manufacturing
ENSE 621 Systems Engineering Principles
ENSE 622 System Modeling and Analysis
GEOL 789C: Computational GeoScience: Data Handling and Analysis
ZOOL 625 Mathematical Biology