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Mathematical Modeling in Biology and Life Sciences - Peking University



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Learn to use mathematical models to gain a better understanding of biological processes through both qualitative and quantitative analysis.With this course you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.

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Requirements: Calculus Working knowledge of Linear Algebra


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What you'll learn on the course

Mathematical Models
Biological processes

Course programme

As modern life science research becomes ever more quantitative, the need for mathematical modeling becomes ever more important. A deeper and mechanistic understanding of complicated biological processes can only come from the understanding of complex interactions at many different scales, for instance, the molecular, the cellular, individual organisms and population levels. In this course, through case studies, we will examine some simplified and idealized mathematical models and their underlying mathematical framework so that we learn how to construct simplified representations of complex biological processes and phenomena. We will learn how to analyze these models both qualitatively and quantitatively and interpret the results in a biological fashion by providing predictions and hypotheses that experimentalists may verify.