Activities & Events
Modeling in the Sciences MTH 205
MTH 205 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 and/or MATLAB. Prerequisites: MTH 112 or MTH 114. CSC 111 recommended. Enrollment limited to 20. Instructor, C. Gole, MWF 2:40-4
Frontiers in Biomathematics BMX 100
Offered Spring 2012 BMX 100 The course web site will be up soon with more details. Meetings are Mondays from 7:20-9:20. Students will learn modeling software skills as well as life sciences data collection techniques. During the course, three faculty teams will engage students in their biomath research collaborations.
Mary Harrington (Smith, Life Sciences) and Tanya Leise (Amherst, Mathematics) Oscillations of Biological Clock Gene Expression
Michael Barresi (Smith, Biology and Neuroscience) and Nessy Tanya (Smith, Mathematics and Statistics) Embryonic Neural System Development in Zebrafish
Sarah Hewes (Hampshire, Mathematics) and Noah Charney (Hampshire and MHC, Biology) Modeling unisexual-bisexual dynamics in salamanders