Mathematical Methods for Biophysics

4 Credits.

As scientists, we make careful but often indirect, incomplete, or noisy experimental measurements and use these to model the world around us. Mathematics gives us the foundation to quantitatively compare experiments, assess and model error, describe large datasets, abstract complex processes, and build predictive models. In essence, mathematics is a language for critical thought. In this course we will study and integrate key concepts from differential equations, linear algebra, probability theory, and transform theory. We will apply the ideas learned in the context of key problems in biophysics.