Minor Requirements (revised Spring 2020)
The minor in Scientific Computing requires 15 credit hours, distributed as follows:
1. Computer Science CS1104 (strongly recommended) or CS 1101. (3 hours)
2. Computer Science CS 2204 (strongly recommended) or CS 2201. (3 hours)
3. Elective courses (9 hours). Three hours must come from elective list A. Mathematical, Quantitative, and Data Science Methods; three hours must come from elective list B. Computational, Simulation, and Modeling Methods; and three hours can come from either course list A or B, or from independent study (SC 3850/3851) with a faculty member affiliated with the SC minor.
A. Mathematical, Quantitative, and Data Science Methods
| SC 3250 | Scientific Computing Toolbox |
| ANTH 3261 | Introduction to Geographic Information Systems and Remote Sensing |
| BMIF 6310 | Foundations of Bioinformatics |
| BMIF 7380 | Data Privacy in Biomedicine |
| BSCI 3272 | Genome Science |
| BME 3200 | Analysis of Biomedical Data |
| CE 4320 | Data Analytics for Engineers |
| CS 3262 | Applied Machine Learning |
| DS 3262 | Applied Machine Learning |
| ECON 3032 | Applied Econometrics |
| ECON 3035 | Econometric Methods |
| ECON 3750 | Econometrics for Big Data |
| EECE 6358 | Quantitative Medical Image Analysis |
| HOD 3200 | Introduction to Data Science |
| MATH 3620 | Introduction to Numerical Mathematics |
| MATH 3670 | Mathematical Data Science |
| MATH 4600 | Numerical Analysis |
| MATH 4620 | Linear Optimization |
| MATH 4630 | Nonlinear Optimization |
B. Computational, Simulation, and Modeling Methods
| SC 3250 | Scientific Computing Toolbox |
| SC 3260 | High Performance Computing |
| ASTR 3600 | Stellar Astrophysics |
| ASTR 3700 | Galactic Astrophysics |
| ASTR 3800 | Structure Formation in the Universe |
| BME 4310 | Modeling Living Systems for Therapeutic Bioengineering |
| BME 7310 | Advanced Computational Modeling and Analysis in Biomedical Engineering Quantitative |
| BME 7410 | Methods in Biomedical Engineering |
| CHBE 4830 | Molecular Simulation |
| CHEM 5410 | Molecular Modeling Methods |
| CHEM 5420 | Computational Structural Biochemistry |
| CS 3274 | Modeling and Simulation |
| EES 4760 | Agent and Individual Based Computational Modeling |
| MATH 3630 | Mathematical Modeling in Biology |
| MATH 3660 | Mathematical Modeling in Economics |
| ME 4263 | Computational Fluid Dynamics and Multiphysics Modeling |
| ME 4275 | Finite Element Analysis |
| NSC 3270 | Computational Neuroscience |
| PHYS 3200 | Statistical Physics |
| PHYS 3790 | Computational Physics |
| PSY 4218 | Computational Cognitive Modeling |
| PSY 4219 | Scientific Computing for Psychological and Brain Sciences |
| PSY 4775 | Models of Human Memory |
Note that many of the subject area electives are advanced courses within a discipline. While some of these courses are only appropriate for majors or minors in those disciplines, many courses are perfectly appropriate for students in Scientific Computing. If uncertain, ask the course instructor before enrolling.
See Courses in Scientific Computing for a detailed description of all courses associated with the minor.
On YES, to select all courses approved for credit in the Scientific Computing minor, select the “Advanced” link next to the search box, select the “Class Attributes” drop-down box on the bottom right of the advanced search page, and then select “Eligible for Scientific Computing” to find all courses.