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PekingX: Mathematical Modeling in the Life Sciences 生物数学建模

学习使用数学建模的方法并通过定量和定性分析模型更好地理解生物现象。Learn to use mathematical models to gain a better understanding of biological processes through both qualitative and quantitative analysis.
Mathematical Modeling in the Life Sciences 生物数学建模
10 weeks
3–4 hours per week
Instructor-led on a course schedule
This course is archived

About this course

Skip About this course

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.


At a glance

  • Institution: PekingX
  • Subject: Math
  • Level: Introductory
  • Prerequisites:
    Working knowledge of Linear Algebra
  • Language: English
  • Video Transcripts: English, 中文
  • Associated skills:Biology, Life Sciences, Forecasting, Mathematical Modeling, Biological Process, Quantitative Analysis

What you'll learn

Skip What you'll learn
  • How to construct simplified representations of biological processes and phenomena
  • How to analyze mathematical models in a qualitative and quantitative manner
  • How to interpret such models in biological fashion with predictions and hypotheses

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