Abstract

We describe two sets of courses designed to enhance the mathematical, statistical, and computational training of life science undergraduates at Emory College. The first course is an introductory sequence in differential and integral calculus, modeling with differential equations, probability, and inferential statistics. The second is an upper-division course in computational neuroscience. We provide a description of each course, detailed syllabi, examples of content, and a brief discussion of the main issues encountered in developing and offering the courses.

Vol. 9, No. 3

September 01, 2010

141-377

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Downloads: 144

Citations: 12

History

Submitted: 15 March 2010

Revised: 8 June 2010

Accepted: 23 June 2010

Information

© 2010 D. Duffus and A. Olifer CBE-Life Sciences Education © 2010 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s).

ACKNOWLEDGMENTS

We note that both Math 115/116 and MCN have been developed with support from the Emory College Center for Science Education. Mathematics and Computer Science Department personnel Michael Ferrara and Dr. Shanshuang Yang and HHMI Fellow Aron Barbey received a grant providing research funds to revise the Math 115/116 sequence and stipend support, respectively, from HHMI grant 52003727. A. O.'s development and first offerings of MCN were supported by HHMI grant 52005873. The principal investigator on both grants is Dr. Pat Marsteller, Director of Emory College Center for Science Education.

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Introductory Life Science Mathematics and Quantitative Neuroscience Courses

Abstract