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

历史黑人学院和大学本科项目(HBCU-UP)通过有针对性的灌输项目，支持基于证据的创新模式和方法的开发、实施和研究，以改善HBCU本科学生的准备和成功，使他们能够攻读科学、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)计划来加强本科生STEM教育，以装备计算机科学以及其他STEM专业的计算和分析技能，涉及一系列背景、学科和问题。这些项目活动可以作为希望加强计算机和数据科学领域本科教育的其他机构的样板。SU-CODE的目标是：加强计算机课程的作用，以对非计算机科学和数据科学课程产生短期和长期影响；改善本科生获得计算研究经验的机会，以便为劳动力或研究生院培养合格的STEM毕业生；提高兴趣，扩大参与，从而改善STEM领域非裔美国学生的招生和留住；改善学生从K-12到本科生和本科生到研究生院的过渡；并加强合作、伙伴关系和专业发展，以促进STEM教师在计算和数据科学方面的研究能力。该机构所有STEM系的教员团队将参与这个项目。该项目由外部评估指导。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.