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Mathematical Biology Modules Based on Modern Molecular Biology and Modern Discrete Mathematics

机译:基于现代分子生物学和现代离散数学的数学生物学模块

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摘要

We describe an ongoing collaborative curriculum materials development project between Sweet Briar College and Western Michigan University, with support from the National Science Foundation. We present a collection of modules under development that can be used in existing mathematics and biology courses, and we address a critical national need to introduce students to mathematical methods beyond the interface of biology with calculus. Based on ongoing research, and designed to use the project-based-learning approach, the modules highlight applications of modern discrete mathematics and algebraic statistics to pressing problems in molecular biology. For the majority of projects, calculus is not a required prerequisite and, due to the modest amount of mathematical background needed for some of the modules, the materials can be used for an early introduction to mathematical modeling. At the same time, most modules are connected with topics in linear and abstract algebra, algebraic geometry, and probability, and they can be used as meaningful applied introductions into the relevant advanced-level mathematics courses. Open-source software is used to facilitate the relevant computations. As a detailed example, we outline a module that focuses on Boolean models of the lac operon network.
机译:在国家科学基金会的支持下,我们描述了Sweet Briar学院和西密歇根大学之间正在进行的合作课程材料开发项目。我们提出了一组正在开发中的模块,可以在现有的数学和生物学课程中使用,并且满足了国家的关键需求,即向学生介绍生物学与微积分界面之外的数学方法。这些模块基于正在进行的研究,旨在使用基于项目的学习方法,着重介绍了现代离散数学和代数统计学在解决分子生物学紧迫问题方面的应用。对于大多数项目,演算不是必需的先决条件,并且由于某些模块需要适度的数学背景,因此可以将这些材料用于数学建模的早期介绍。同时,大多数模块与线性和抽象代数,代数几何和概率等主题相关,并且可以用作相关高级数学课程的有意义的应用介绍。开源软件用于简化相关计算。作为一个详细的示例,我们概述了一个模块,该模块专注于lac操纵子网络的布尔模型。

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