(Fall 2016, Spring 2017, Fall 2023)

   The course is divided into three main parts. Differential equations, linear algebra and difference systems, and discrete probability and statistics, with an emphasis on applications to biology.

(Spring 2022)

(taught and designed with dance professor Lori Teague)

 The main goal of this course is to deepen students' understanding of elementary mathematical concepts and foster creativity by building connections between math and movement.  Based on vocabulary and time/space dependence, students explore mathematical concepts through the body.

There are no prerequisites for either math or dance to attend and succeed in this class.

(Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Fall 2020, Spring 2021, Fall 2021, Spring 2023, Fall 2023, Spring 2024)

    A standard first semester Differential Equations course which covers first and second order differential equations, linear systems of differential equations and stability, and introduction to nonlinear autonomous systems, with the only prerequisite of basic calculus. 

( Summer 2020, Summer 2021) 

    This is a 6-week Differential Equations course which covers first and second order differential equations, linear systems of differential equations and stability, and introduction to nonlinear autonomous systems, with the only prerequisite of basic calculus. The course has been designed to be delivered online before the pandemic.

(Fall 2021)

    This course provides an introduction to scientific computation, including understanding how some of the best numerical software works, and how to use computational tools to solve realistic problems in science and engineering applications. All computation will be done in MATLAB scientific computing environment.

(Spring 2018, Fall 2018, Spring 2019, Spring 2021)

    An introductory course on Partial Differential Equations, with the only prerequisites of ordinary differential equations, vector calculus and linear algebra. It covers the most important classical partial differential equations, such as wave, heat and Laplace equations.

(Spring 2022)

An introductory course on Partial Differential Equations, with the only prerequisites of ordinary differential equations, vector calculus and linear algebra. It covers the most important classical partial differential equations, such as wave, heat and Laplace equations.

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This course is a LINC (Learning Through Inclusive Collaboration) course with Dance Literacy (DANC 240).

(Fall 2019)

A Linear Optimization course which covers the theory of linear programming, duality, optimal flows in networks, and mathematical

programming, with prerequisites of linear algebra and/or vector spaces and an introduction to computer science.

(taught and designed with dance professor Lori Teague) 

(Spring 2019) 

This course is intended to explore mathematical concepts through the body. Students are invited to explore and experiment with authentic movement choices in order to understand mathematical concepts. Specifically, well-known nonlinear systems of differential equations arising in biology - such as the predator-prey and competing species models and compartmental models in epidemiology, such as the SIR model - are the focus of this movement laboratory. Likewise, these concepts are paired with movement concepts, such as counter tension, resiliency and friction, use of space, and dynamics.

A first year PhD course, meant to prepare the students to the classroom environment and their first teaching experience.

Teaching Seminar focuses on Philosophy & Methods of teaching. Details about grading, tutoring, methods of teaching, inclusion in

the classroom and current research on how students learn mathematics play an important role in the course.