Targeted Infusion Project: Strengthening the Undergraduate STEM Curriculum at Fisk University through the Infusion of Computational-Biological content in Pre-Calculus

有针对性的注入项目：通过在初级微积分中注入计算生物内容，加强菲斯克大学本科 STEM 课程

• 批准号: 1719450
• 负责人: Sanjukta Hota
• 金额: $ 39.98万
• 依托单位: Fisk University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1719450&HistoricalAwards=false
• 关键词: Targeted; Infusion; Project; Strengthening; Undergraduate

The Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) through Targeted Infusion Projects supports the development, implementation, and study of evidence-based innovative models and approaches for improving the preparation and success of HBCU undergraduate students so that they may pursue STEM graduate programs and/or careers. The project at Fisk University seeks to improve the undergraduate STEM curriculum and help the University achieve its aspiration of developing a Bioinformatics/Biomathematics or Quantitative and Computational Biology (QCB) major. The project's proposed curriculum innovation activities will serve as a testing ground for exploring the impact of teaching on student learning, retention in quantitative biology/mathematics/or computer science as majors, and selection of career pathways. This project will help to strengthen the research and learning culture and infrastructure at the University as it moves towards expanding into degree-granting biomathematics and bioinformatics programs. The project's activities are expected to increase interest in STEM fields, increase retention and progression in STEM disciplines, and will serve as a possible replicable model for other institutions that share a similar mission.The overall goal of the program is to enhance and strengthen the existing undergraduate curriculum for STEM majors by introducing computational and data-enabled active learning in mathematics, biology and computer science, integrated with a faculty-mentored summer research program. To achieve this goal, the following activities are proposed: develop and implement a bio-pre-calculus course in order to provide biology students a better understanding of the applications of algebraic and trigonometric fundamentals in biological problems; offer short (one credit) courses to teach programming languages--Python, R, Linux, and Galaxy--often used for biological data processing and data analysis; offer a summer research program to a selected pool of 6 rising sophomores, juniors or seniors with biology, mathematics or computer science major, to develop competence in research; and offer computational and bio-mathematical research seminars and colloquia featuring speakers from departments and programs across campus, plus invited guests from industry and other universities to emphasize the use of computing to solve complex biological problems and develop new insight. This combination of activities will provide a solid interdisciplinary link between mathematics, computer science and biology; foster quantitative and discovery based learning on the topics of life sciences; stimulate students' research interests by enhancing their programming skill; and increase student participation in classrooms through data-enabled- and case-study-oriented active learning.

历史悠久的黑人学院大学本科课程（HBCU-UP）通过有针对性的输液项目支持开发，实施和研究基于证据的创新模型和方法，以改善HBCU本科生的准备和成功，以便他们可以从事STEM研究生课程和/或职业。 Fisk University的项目旨在改善本科STEM课程，并帮助大学实现其发展生物信息学/生物学或定量和计算生物学（QCB）专业的愿望。该项目拟议的课程创新活动将成为探索教学对学生学习的影响，定量生物学/数学/计算机科学作为专业和职业途径的选择的测试基础。该项目将有助于加强大学的研究文化和基础设施，因为它朝着扩展为授予学位的生物学和生物信息学计划的过程。预计该项目的活动有望增加对STEM领域的兴趣，增加了STEM学科的保留率和进步，并将成为其他具有相似任务的机构的可复制模型。该计划的总体目标是通过在数学和计算机上介绍了计算和数据的积极学习来增强和增强STEM专业的现有本科课程，以实现计算和数据的积极学习。为了实现这一目标，提出了以下活动：开发和实施生物释放课程，以便为生物学学生更好地了解代数和三角基础知识在生物学问题中的应用；提供简短的（一项学分）课程来教授编程语言 - Python，R，Linux和Galaxy，通常用于生物数据处理和数据分析；向选定的6个崛起大二学生，大三或具有生物学，数学或计算机科学专业的老年人提供夏季研究计划，以发展研究能力；并提供计算和生物数学研究研讨会和座谈会，包括来自校园各部门和计划的演讲者，以及来自行业和其他大学的受邀客人，以强调使用计算来解决复杂的生物学问题并发展新的见解。这种活动的结合将在数学，计算机科学和生物学之间提供牢固的跨学科联系；培养基于定量和发现的学习生命科学主题的学习；通过增强他们的编程技能来刺激学生的研究兴趣；并通过以数据为基础和案例研究的主动学习来增加学生在课堂上的参与。