Read ✓ A Biologist's Guide to Mathematical Modeling in Ecology and Evolution By Sarah P Otto –

A Biologist's Guide to Mathematical Modeling in Ecology and Evolution This textbook is a great primer for biologists and or bioinformaticians with straightforward and step by step examples illustrating the modeller s workflow.The authors focus on practical application and avoid overly technical perspectives Knowledge of undergraduate mathematics statistics and the like is very helpful but not strictly essential to benefit from this text. Thirty Years Ago, Biologists Could Get By With A Rudimentary Grasp Of Mathematics And Modeling Not So Today In Seeking To Answer Fundamental Questions About How Biological Systems Function And Change Over Time, The Modern Biologist Is As Likely To Rely On Sophisticated Mathematical And Computer Based Models As Traditional Fieldwork In This Book, Sarah Otto And Troy Day Provide Biology Students With The Tools Necessary To Both Interpret Models And To Build Their Own The Book Starts At An Elementary Level Of Mathematical Modeling, Assuming That The Reader Has Had High School Mathematics And First Year Calculus Otto And Day Then Gradually Build In Depth And Complexity, From Classic Models In Ecology And Evolution To Intricate Class Structured And Probabilistic Models The Authors Provide Primers With Instructive Exercises To Introduce Readers To The Advanced Subjects Of Linear Algebra And Probability Theory Through Examples, They Describe How Models Have Been Used To Understand Such Topics As The Spread Of HIV, Chaos, The Age Structure Of A Country, Speciation, And Extinction Ecologists And Evolutionary Biologists Today Need Enough Mathematical Training To Be Able To Assess The Power And Limits Of Biological Models And To Develop Theories And Models Themselves This Innovative Book Will Be An Indispensable Guide To The World Of Mathematical Models For The Next Generation Of Biologists A How To Guide For Developing New Mathematical Models In Biology Provides Step By Step Recipes For Constructing And Analyzing Models Interesting Biological Applications Explores Classical Models In Ecology And Evolution Questions At The End Of Every Chapter Primers Cover Important Mathematical Topics Exercises With Answers Appendixes Summarize Useful Rules Labs And Advanced Material Available I am very satisfied by my purchase This book is good for those who do not have strong math background and want to learn modeling. So far the most elegant and easily comprehensible way of explaining mathematical modeling I have ever encountered with Strogly recommended This is an excellent and very comprehensive text written in a biologist friendly style but that still delivers almost all of the maths you are ever likely to need in mathematical biology.Books like Edelstein Keshet and Murray are written from a much mathematical background and tend to use notation and concepts that are hard for non mathematicians to grasp Maths phobia is a serious barrier to biologists entering the field, where we need biological as well as mathematical insight.This book introduces the mathemtical concepts as they are needed by way of a series of primers The rest of the book is filled with examples that concentrate on the biology rather than the mathematical techniques There are also chapters that explain the methods of model building and the reasoning behind model building.For me this is a perfect graduate level or third year undergraduate level text.

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