About the Concentration
There is a fair amount of flexibility in the requirements. Students should talk to participating faculty to design a course plan that works for them, which includes the following requirements:
One of the Biomath Gateway courses, four electives, two research experiences and a capstone experience.
This is a gateway course for the Biomathematical Sciences Concentration. During four week modules, students are introduced to two biomath research projects, each presented by two faculty members. The projects, presented by faculty from the Four College Biomath Consortium, will offer future research opportunities for students with strong interdisciplinary interests spanning mathematics and the life sciences. Students work in groups to explore questions presented in the modules using modeling and analytic methods. The two modules are preceded by 4 weeks of intensive software training (R or Matlab). Open to all students. Graded S/U only. 4 credits. Denise Lello (coordinator), Fall 2016
MTH/CSC 205 Modeling in the Sciences
This course integrates the use of mathematics and computers for modeling various phenomena drawn from the natural and social sciences. Scientific topics, organized as case studies, will span a wide range of systems at all scales, with special emphasis on the life sciences. Mathematical tools include data analysis, discrete and continuous dynamical systems, and discrete geometry. The course will provide training through programming in Mathematica. Prerequisites: MTH 112 or MTH 114; Recommended: CSC. 111 Enrollment linited to 20. 4 credits. Ileana Streinu, Spring 2016
Four electives in a bio-math related subject are required, which must be in a discipline complementary to the student's major (e.g., a student majoring in mathematical sciences would emphasize biological science electives; and a student majoring in biological sciences would choose math electives).
Two Research Experiences
Two research experiences are required, in the form of a two-credit research project, summer project or professional internship.
A Capstone Experience
A capstone experience from the following: BIO 334 Bio-informatics; CSC 334 Computational Biology; MTH 364 Topic: Dynamical systems with application in biology; or an honors thesis