- Mathematical biology remains a fast-growing topic within applied mathematics.
- The Mathematical Modeling course is a common and popular course.
- This book aims to tailor the modeling course to life science applications.
- It introduces an advanced concept, Sensitivity Analysis, at an undergraduate level.
- The book will be attractive to any mathematician teaching biology students in a modeling or mathematical biology course.
Nicholas G. Cogan is Professor of Mathematics at Florida State University. He began studying mathematical biology in undergraduate school and received his Ph.D. from the University of Utah under James P. Keener. He routinely works with microbiologists, environmental engineers, clinicians, and other scientists outside of mathematics. He has taught for twenty years at the undergraduate level and his research focuses on mathematical modeling in the life sciences. He is the author of over fifty articles using mathematics with biology.
Title: Mathematical Modeling the Life Sciences: Numerical Recipes in Python and MATLAB� (Textbooks in Mathematics)
Author: Cogan, N. G.
ISBN: 9781032328263
Binding:
Publisher: Taylor & Francis Ltd
Publication Date: 2022-09-09
Number of Pages: 232
Weight: 0.4537 kg