Targeted Infusion Project: Southern University – Computing and Data Education (SU-CoDE)

历史上的黑人学院和大学本科项目（HBCU- up）通过有针对性的输液项目支持基于证据的创新模式和方法的开发、实施和研究，以提高HBCU本科生的准备和成功，使他们可以追求科学、技术、工程或数学（STEM）研究生课程和/或职业。南方大学（SU）的这个项目将通过建立SU计算和数据教育（SU- code）项目来加强本科STEM教育，为计算机科学以及其他STEM专业的学生提供跨一系列背景、学科和问题的计算和分析技能。该项目活动可作为希望加强计算机和数据科学领域的本科教育的其他机构的榜样。SU-CoDE的目标是：加强计算机课程的作用，对非cs STEM课程产生短期和长期的影响；改善本科生获得计算研究经验的机会，为劳动力或研究生院培养合格的STEM毕业生；增加兴趣，扩大参与，从而提高非裔美国学生在STEM领域的招聘和保留；改善学生从K-12到本科和本科到研究生的过渡；加强合作、伙伴关系和专业发展，以提高STEM教师在计算和数据科学方面的研究能力。来自该机构所有STEM部门的教师团队将参与该项目。该项目由外部评估指导。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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 science, technology, engineering or mathematics (STEM) graduate programs and/or careers. The project at Southern University (SU) will enhance undergraduate STEM education by establishing the SU-Computing and Data Education (SU-CoDE) program to equip computer science, as well as other STEM majors, with computing and analytical skills across a range of contexts, disciplines, and problems. The project activities can serve as a model for other institutions that desire to strengthen undergraduate education in the area of computer and data science.The objectives of SU-CoDE are to: enhance the role of the computing curriculum to have short- and long-term impacts on non-CS STEM programs; improve access to computational research experiences for undergraduate students to educate qualified STEM graduates for the workforce or graduate school; increase the interest, broaden participation, and thereby improve recruitment and retention of African American students in STEM fields; improve students’ transition from K-12 to undergraduate and undergraduate to graduate school; and enhance collaborations, partnerships, and professional developments to promote the research capacity of STEM faculty in computing and data science. A team of faculty from all STEM departments at the institution will be involved in this project. The project is guided by an external evaluation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.