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AMATH 536 A: Spatial Models In Ecology And Epidemiology

Meeting Time: 
MWF 10:30am - 11:20am
Location: 
LOW 118
SLN: 
10227
Instructor:
Mark Kot
Mark Kot
Catalog Description: 
Introduces stochastic and deterministic methods for mathematical modeling of cancer evolution. Particular emphasis on branching process models of cancer initiation, progression and response to therapy, and their relationship to clinical, epidemiological and sequencing data. The course introduces both analytic and computational approaches for modeling cancer, and gets students acquainted with the current research in the field. Prerequisite: Previous experience with calculus, probability, ODEs and programming or permission of instructor. Offered: Sp.
Credits: 
5.0
Status: 
Active
Last updated: 
January 28, 2018 - 9:10pm
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