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

定向输注项目：南方大学—计算与数据教育（SU-CoDE）

• 批准号: 2011900
• 负责人: Lynette Jackson
• 金额: $ 39.99万
• 依托单位: Southern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2011900&HistoricalAwards=false
• 关键词: Targeted; Infusion; Project; Southern; University

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.

历史悠久的黑人学院和大学通过有针对性的输液项目（HBCU-UP）支持开发，实施和研究基于循证的创新模型和方法，以改善HBCU本科生的准备和成功，以便他们可以购买科学，技术，工程或数学或数学（STEM）研究生和/或/或或/或或/或或/或或/或护理人员。南方大学（SU）的项目将通过建立SU计算和数据教育（SU-CODE）计划来提高本科STEM教育，以配备计算机科学以及其他STEM专业的专业，并在各种环境，学科和问题上具有计算和分析技能。该项目活动可以作为其他渴望在计算机和数据科学领域加强本科教育的机构的模型。SU-CODE的目标是：增强计算课程对非CS STEM计划产生短期和长期影响的作用；改善本科生获得计算研究经验的机会，以教育合格的STEM毕业生为劳动力或研究生院教育；增加兴趣，扩大参与，从而改善非裔美国学生在STEM领域的招聘和保留；改善学生从K-12向本科生和本科生到研究生院的过渡；并增强合作，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中的研究能力。该项目将参与该机构所有STEM部门的一组教职员工。该项目以外部评估为指导。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响审查标准来评估被认为是宝贵的支持。

项目成果

Design of the network intrusion detection systems for the internet of things infrastructure using machine learning algorithms

使用机器学习算法设计物联网基础设施网络入侵检测系统

• DOI: 10.1117/12.2584499
• 发表时间: 2021
• 期刊: Design of Intrusion Detection Systems on the Internet of Things Infrastructure using Machine Learning Algorithms
• 作者: Banadaki, Yaser M.;Brook, Jalen;Sharifi, Safura
• 通讯作者: Sharifi, Safura

Automated Quality and Process Control for Additive Manufacturing using Deep Convolutional Neural Networks

• DOI: 10.21926/rpm.2201005
• 发表时间: 2022-01-01
• 期刊: Recent Prog. Mater
• 作者: Banadaki, Y.;Razaviarab, N.;Sharifi, S.
• 通讯作者: Sharifi, S.

Enabling data science education in STEM disciplines through supervised undergraduate research experiences

通过指导本科生研究经验，实现 STEM 学科的数据科学教育

• 发表时间: 2022
• 期刊: American Society of Electrical Engineers (ASEE
• 作者: Yaser Banadaki

Enabling quantum cryptography using IBM QX

使用 IBM QX 启用量子加密

• 发表时间: 2022
• 期刊: March Meeting
• 作者: Y. Banadaki;H. Kesineni
• 通讯作者: H. Kesineni