On YES, to find 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 courses offered in a given semester.

## Spring 2021 Courses

- ASTR 3800 Structure Formation in the Universe
- BME 2400 Quantitative Methods I: Statistical Analysis
- CHEM 5410 Molecular Modeling Methods
- CS 1101 Programming and Problem Solving
- CS 1104 Programming and Problem Solving with Python
- CS 2201 Program Design and Data Structures
- CS 2204 Program Design and Data Structures for Scientific Computing
- CS 3274 Modeling and Simulation
- ECON 3035 Econometric Methods
- MATH 3620 Introduction to Numerical Mathematics
- MATH 3630 Mathematical Modeling in Biology and Medicine
- MATH 3660 Mathematical Modeling in Economics
- MATH 3670 Mathematical Data Science
- MATH 3890 Computing with Splines
- MATH 4630 Nonlinear Optimization
- ME 4263 Computational Fluid Dynamics and Multiphysics Modeling
- NSC 3270 Computational Neuroscience
- PHYS 3200 Statistical Physics
- PSY 4775 Models of Human Memory
- SC 3850 Independent Study
- SC 3851 Independent Study

## Fall 2020 Courses

Note on SC3250:*Unfortunately, we are unable to offer the required core course SC3250 Scientific Computing Toolbox during the Fall 2020 / Spring 2021 academic year. Students intending to graduate in Fall 2020 or Spring 2021 with a minor in Scientific Computing will need to take an approved course from the list of elective courses to substitute for SC3250 (if they have not taken SC3250 already). Students in the School of Engineering will need to obtain approval for that alternate course first from the Director of Undergraduate Studies in their home department and then from Professor Bodenheimer (co-Director of Scientific Computing, Department of Computer Science). Students outside of the School of Engineering (A&S, Peabody, Blair) will need to obtain approval for that alternative course from one of the other co-Directors of Scientific Computing, Professor Weintraub (Department of Physics and Astronomy) or Professor Palmeri (Department of Psychology).*

- ANTH 3261 Introduction to Geographic Information Systems and Remote Sensing
- ASTR 3600 Stellar Astrophysics
- ASTR 3700 Galactic Astrophysics
- BME 3200 Analysis of Biomedical Data
- BME 7310 Advanced Computational Modeling and Analysis in Biomedical Engineering
- BME 7410 Quantitative Methods in Biomedical Engineering
- BMIF 6310 Foundations Of Bioinformatics
- CHEM 5410 Molecular Modeling Methods
- CE 4320 Data Analytics for Engineers
- CS 1101 Programming and Problem Solving
- CS 1104 Programming and Problem Solving with Python
- CS 2201 Program Design and Data Structures
- CS 2204 Program Design and Data Structures for Scientific Computing
- EES 4760 Agent- and Individual-Based Computational Modeling
- ECON 3035 Econometric Methods
- MATH 3620 Introduction to Numerical Mathematics
- MATH 3670 Mathematical Data Science
- MATH 4600 Numerical Analysis
- MATH 4620 Linear Optimization
- PHYS 3790 Computational Physics
- PSY 4219 Scientific Computing for Psychological and Brain Science
- SC 3851 Independent Study