Independent Study

Pursuing an independent study program is a great way to explore a topic of particular interest while earning academic credit. The best way to arrange an independent study is to begin talking to professors who study topics about which you’re interested in learning more. Once you have found a professor to work with, and have decided on a topic, submit an independent study application to the department so that you can receive credit for the course.

Topics mathematics students have pursued in the last several semesters:

Spring 2022
Independent Study Title Faculty
Fourier-Plancherel Transfrm Bill Ross
Symmetric Difference Propty Jim Davis
Linear Models In Statistics Paul Kvam
Fall 2021
Independent Study Title Faculty
Linear Models In Statistics Paul Kvam
Relative Difference Sets Jim Davis
Model Of Renal Function Lester Caudill
Deep Learning Systems Taylor Arnold
Spring 2021
Independent Study Title Faculty
Partial Differential Equations Jeremy LeCrone
Advanced Algebra Jim Davis
Partial Difference Sets Jim Davis
Regression Models In R Kathy Hoke
Stochastic Games & Decisions-making Strategies Michael Kerckhove
Host-Parasitoid Dynamics 2 Michael Kerckhove
Bent Functions Jim Davis
Geometry Of Mean Value Sets Jeremy LeCrone
Medial Axis/Motion Planning Jeremy LeCrone
Modeling Intestinal Infections Lester Caudill
Modeling Organ System Networks Lester Caudill
Simulating Negative Effects of Antibiotics Lester Caudill
Modeling Circulatory System Lester Caudill
Mathematical Modeling of Epidemics Joanna Wares
Fall 2020
Independent Study Title Faculty
Host-Parasitoid Dynamics Michael Kerckhove
Randomness in Brain Graphs of Veterans with Concussions Kathy Hoke
John Tukey Della Dumbaugh
History Of Women In Mathematics Della Dumbaugh
Accessibility Of Calculus I Michael Kerckhove
Partial Differential Equations Jeremy LeCrone
Modeling Intestinal Infections Lester Caudill
Modeling Organ System Networks Lester Caudill
Modeling the Negative Effects of Antibiotics Lester Caudill
Modeling Circulatory System Lester Caudill
Computational Modeling Covid Joanna Wares