Math and Computer Science


Student Research (Under Construction)

Diving into Research Courses

Diving into Research courses provides opportunities for students to work together in small groups on research projects in Math and Computer Science. A key objective of these courses is to show students that exposure to mathematics and computer science can provide them with the skills to solve problems in a wide range of fields. These courses are designed for, but not limited to, first year students.

A Diving into Research course differs from a first-year seminar in three ways:

  1. It is a year-long course where you will work on a research project with a small group of students.
  2. It is focused in either math or computer science.
  3. Credit (1.0) for the Diving into Research course is awarded after completion of two semesters of study.

Learn more about these Diving Into Research Courses:

Current Student Active Learning Clubs

Some Student-Faculty Published Work

  • Syed Asad Rizvi, Ella Tuson, Breanna Desrochers and John Magee (2018) Simulation of Motor Impairment in Head-Controlled Pointer Fitts' Law Task. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18). ACM, New York, NY, USA.
  • Ella Tuson, Samantha Hughson, Christina Zymaris, and Ryan King. (2017). Participatory Design Using Sensory Substitution Devices with Tactile and Audio Feedback. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17). ACM, New York, NY, USA, 415-416.

  • L. Han, L. Rudolph, S. Corbett, M. Chou, E. Eagle, D. Glotzer, J. Kramer, J. Moran, C. Pietras, A. Tareen, and M. Valko, " Configurations and Path Planning of Convex Planar Polygonal Loops", Tenth International Workshop on the Algorithmic Foundations of Robotics (WAFR 2012) , E. Frazzoli, T. Lozano-Perez, N. Roy, and D. Rus, eds., Springer Track in Advanced Robotics, Springer, Berlin / Heidelberg, June 2012.

  • Li Han, Lee Rudolph, Jonathon Blumenthal, and Ihar Valodzin, "Convexly Stratified Deformation Spaces and Efficient Path Planning for Planar Closed Chains with Revolute Joints", International Journal of Robotics Research, 27(11-12), pp. 1189-1212, November 2008.