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首页> 外文期刊>International Journal of Mathematical Education in Science and Technology >Interdisciplinary education - a predator-prey model for developing a skill set in mathematics, biology and technology
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Interdisciplinary education - a predator-prey model for developing a skill set in mathematics, biology and technology

机译:跨学科教育-培养数学,生物学和技术技能的捕食者-猎物模型

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摘要

The science of biology has been transforming dramatically and so the need for a stronger mathematical background for biology students has increased. Biological students reaching the senior or post-graduate level often come to realize that their mathematical background is insufficient. Similarly, students in a mathematics programme, interested in biological phenomena, find it difficult to master the complex systems encountered in biology. In short, the biologists do not have enough mathematics and the mathematicians are not being taught enough biology. The need for interdisciplinary curricula that includes disciplines such as biology, physical science, and mathematics is widely recognized, but has not been widely implemented. In this paper, it is suggested that students develop a skill set of ecology, mathematics and technology to encourage working across disciplinary boundaries. To illustrate such a skill set, a predator-prey model that contains self-limiting factors for both predator and prey is suggested. The general idea of dynamics, is introduced and students are encouraged to discover the applicability of this approach to more complex biological systems. The level of mathematics and technology required is not advanced; therefore, it is ideal for inclusion in a senior-level or introductory graduate-level course for students interested in mathematical biology.
机译:生物学科学已经发生了巨大的变化,因此对生物学专业学生具有更强数学背景的需求也日益增加。达到高年级或研究生水平的生物学学生通常会意识到他们的数学背景不足。同样,对生物学现象感兴趣的数学课程的学生发现,很难掌握生物学中遇到的复杂系统。简而言之,生物学家没有足够的数学,数学家也没有被教导足够的生物学。跨学科课程包括生物学,物理科学和数学等学科的需求已得到广泛认可,但并未得到广泛实施。在本文中,建议学生发展一套生态,数学和技术技能,以鼓励跨学科的工作。为了说明这种技能,建议了一个捕食者—猎物模型,该模型同时包含捕食者和猎物的自限因素。介绍了动力学的一般概念,并鼓励学生发现这种方法在更复杂的生物系统中的适用性。所需的数学和技术水平不高;因此,对于对数学生物学感兴趣的学生而言,它是包含在高级或入门级研究生课程中的理想之选。

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