Targeted Infusion Project: Infusing deep learning into the undergraduate computer science and engineering curricula

有针对性的注入项目：将深度学习注入本科计算机科学与工程课程

• 批准号: 2306141
• 负责人: Xiao Chang
• 金额: $ 40万
• 依托单位: Tuskegee University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2306141&HistoricalAwards=false
• 关键词: Targeted; Infusion; Project; Infusing; deep

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 goal of this project is to infuse self-contained deep learning modules into existing undergraduate computer science and engineering classes at Tuskegee University (TU).This project aims to prepare undergraduate students for deep learning/AI workforce and advanced graduate programs by developing deep learning curriculum modules composed of lecture slides, demos, hands-on labs, homework assignments, and quizzes. The curriculum modules will be incorporated into a deep learning/machine learning focused course, and three elective computer science and engineering courses. In addition, introductory deep learning workshops will be developed and open to all students at TU. The project will also support academic year and summer research experiences, and facilitate faculty professional development through consultation, annual onsite faculty summer workshops, and webinars. The open-source educational materials and videos will be made available on GitHub and YouTube for dissemination, and seminars offered to K-12 students to raise awareness of deep learning and AI. This project will contribute to the national need for artificial intelligence research and workforce development to strategically foster an AI-ready workforce in America.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.

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.该项目的目的是将自有的深度学习模块注入Tuskegee University（TU）现有的本科计算机科学和工程课程中。该项目旨在通过开发由深度学习的课程和高级学习课程来为本科生做好准备，通过开发深度学习课程模块，由演讲障碍，演讲，演讲，演讲，家庭作业，家庭作业，Quizzs，Quizzs，quizzs，Quizzs和Quizzs和Quizz。课程模块将被纳入以深度学习/机器学习为中心的课程中，以及三个选修课的计算机科学和工程课程。此外，将向TU的所有学生开发并开放介绍性深度学习研讨会。该项目还将支持学年和夏季研究经验，并通过咨询，现场教职夏季研讨会和网络研讨会来促进教师的专业发展。开源教育材料和视频将在Github和YouTube上提供，以进行传播，并向K-12学生提供研讨会，以提高人们对深度学习和AI的认识。该项目将有助于国家对人工智能研究和劳动力开发的需求，以战略性地培养美国的AI-Ready劳动力。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估审查标准来通过评估来获得支持的。