Teaching

Fall 2021:
MA 242 Calculus III – Section 6

MA 450 Methods of Applied Mathematics I

Spring 2022: MA 493 (Special Topics) – Mathematical Foundations of Data Science

This new course will cover foundational mathematical concepts fundamental to data science and data-driven mathematical modeling. The course content was developed by a team of departmental faculty and 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. Some familiarity with MATLAB will be beneficial for students taking this course.
Prerequisites: MA242 and MA305 (or MA 405)

Courses I have taught in the past several years include:

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 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