Targeted Infusion Project: Developing a Minor Program in Applied Statistics within the Department of Mathematics and Computer Science at Fort Valley State University.

历史上的黑人学院和大学本科生计划（HBCU-UP）通过有针对性的输液项目支持开发，实施和基于证据的创新模式和方法的研究，以提高HBCU本科生的准备和成功，使他们可以追求STEM研究生课程和/或职业。堡谷州立大学将实施一个有针对性的注入项目，题为：开发数学和计算机科学系内的应用统计学未成年人计划。该项目旨在通过需要科学和数据驱动的决策过程的活动来发展学生的统计知识和思维;通过提高统计学的入学率和保留率来提高STEM领域学生的入学率和保留率;让学生参与与统计应用相关领域的导师监督研究; and enhance增强learning学习，通过使用新的教学技术和方法，提高教学和研究能力。项目小组将通过跨学科活动和项目加强现有课程，并开发五个新的数学与计算机科学系应用统计学辅修课程。 将要开发的课程将涵盖回归应用方法的主题，生物统计学的关键概念，包括数学建模和计算模拟技术，构建和设计统计实验的方法，时间序列和非参数统计。课程开发工作将与教师指导，暑期研究实习和同行咨询相补充。

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. Fort Valley State University will implement a Targeted Infusion Project entitled: Developing a Minor Program in Applied Statistics within the Department of Mathematics and Computer Science. The project is designed to develop students' statistical knowledge and thinking through activities that require scientific and data driven decision making processes; improve enrollment and retention of students in STEM fields by enhancing enrollment and retention in statistics; engage students in mentor supervised research in areas related to statistics applications; and enhance learning, teaching and research capabilities through the use of new instructional technologies and methodologies.The project team will enhance an existing course with interdisciplinary activities and projects and develop five new courses for the minor in Applied Statistics curriculum within the Department of Mathematics and Computer Science. Courses to be developed will cover topics in applied methods in regression, key concepts of biostatistics including mathematical modeling and computational simulation techniques, methods of constructing and designing statistical experiments, time series, and nonparametric statistics. Curriculum development efforts will be complemented with faculty mentoring, summer research internships, and peer-to-peer advising.