title: Introductory life science mathematics and quantitative neuroscience courses.
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.
authors.affiliation: Departments of Mathematics and Computer Science and Biology, Emory University, Atlanta, GA 30322, USA. dwight@mathcsemory.edu
authors.forename: Dwight
authors.initials: D
authors.lastname: Duffus
authors.forename: Andrei
authors.initials: A
authors.lastname: Olifer
mesh_terms: D000818:Animals; D003479:Curriculum; D008433:Mathematics / Q000193:education*; D008954:Models, Biological; D009488:Neurosciences / Q000193:education*; D051381:Rats; D012984:Software; D013334:Students; D014495:Universities
references.citation: J Neurosci Methods. 2003 Aug 15;127(2):123-35
references.pmid: 12906942
references.citation: J Physiol. 1952 Aug;117(4):500-44
references.pmid: 12991237
references.citation: Brain Res. 1971 Nov;34(1):171-5
references.pmid: 5124915
references.citation: Biophys J. 1981 Jul;35(1):193-213
references.pmid: 7260316