Research Experiences for Undergraduates (REU)
MHC REU will not run this summer (2014). We hope to resume next summer (2015). Thank you.
Summer Mathematics Research Institute
REU 2013 Application Deadline : 2013/03/01
To apply, visit mathprograms.org
The purpose of the Summer Mathematics Institute at Mount Holyoke is to engage undergraduates in an intensive mathematical research experience. Students work in groups of about five, each group carrying out a project under the supervision of faculty advisors. A typical day begins with the group meeting with the faculty advisor to plan the day's activities and ends with an afternoon tea. Once a week the students give presentations on their progress in their various projects. We also encourage the students to present their results in mathematics meetings at the end of the summer and during the following year. With the help of their advisor, each project produces one or more final written reports on their work and posted on our web site.
We are generally looking for students between their junior and senior year in college. Applicants are selected based on the courses they have taken, their grades, recommendations from faculty members, and the applicant's statement of interest. Women and students from underrepresented groups are especially encouraged to apply. Since our support comes from the National Science Foundation, the students supported by our program must be U.S. citizens or permanent residents.
$3,600 plus room.
- a transcript (may be unofficial)
- 2 letters of recommendation
- a cover letter
Be sure to include the information below in your cover letter.
- A list of all mathematics courses taken.
- A description of your computer experience.
- A preference for one of the two projects (math modeling or number theory) if you have one.
- An explanation of your interest in participating in our summer institute.
- You may include any additional information that would help us evaluate your application.
June 10 - August 2nd, 2013.
Projects for 2013
Mathematical and Computational Modeling with Dylan Shepardson
We will investigate mathematical and computational techniques for solving real-world problems related to computational chemistry and epidemiology. Possible projects include developing graph-theoretic and probabilistic algorithms to study the conduction pathways of protons through certain solids, and creating stochastic simulations to identify effective strategies for preventing tuberculosis and other infectious diseases.
Candidates should have taken linear algebra and multivariable calculus. Some previous experience with computer science, programming, or physics would be very useful.
Number Theory with Giuliana Davidoff