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# Recommended coursework for undergraduate students

Math: Students should have a solid background in linear algebra and matrix theory. Knowledge of differential equations is also highly recommended for students interested in biophysically-realistic modeling of neural circuits (e.g., compartmental models, Hodgkin-Huxley model, etc). Less so for students interested in higher level modeling.

Relevant courses include:

- Statistics and probability background
- Computer science: Students should have some programming knowledge in Matlab and/or python and C.

- Academic Resources at Brown
- Recommended coursework for undergraduate students
- Faculty with computational neuroscience research

- Recommended Courses on Computational Modeling
- Methods & programming
- Biostats & bioengineering
- Methods & data analysis
- Computational vision
- Computational cognitive science / neuroscience
- Neuroscience
- Mathematical & Computations