# Teaching

**Spring 2023 – MA 493 – Mathematical Foundations of Data Science
**This course will cover foundational mathematical concepts fundamental to data science and data-driven mathematical modeling. The course will include the following topics: basics of machine learning, unconstrained optimization, neural networks and overfitting, parameter estimation and sensitivity analysis for mathematical models, and an introduction to topological data analysis.

Prerequisites: MA242 and MA305 (or MA 405). Some familiarity with MATLAB will be beneficial

**Fall 2022 – MA 450 Methods of Applied Mathematics I**

**Courses I have taught in the past several years include:**

MA 242 Calculus III

MA 341 Applied Differential Equations I

MA 401 Applied Differential Equations II

MA 450 Methods of Applied Mathematics I

MA 451 Methods of Applied Mathematics II

MA 493 Mathematical Foundations of Data Science

MA 501 Advanced Mathematics for Engineers and Scientists I

MA/BMA 573 Mathematical Modeling of Physical and Biological Processes I

MA/BMA 574 Mathematical Modeling of Physical and Biological Processes II

MA 587 Numerical Solution of Partial Differential Equations–Finite Element Method