CRCD: Machine Learning Advances for Engineering Education

CRCD：工程教育的机器学习进步

• 批准号: 0203446
• 负责人: Michael Georgiopoulos
• 金额: $ 40.7万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-08-15 至 2007-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0203446&HistoricalAwards=false
• 关键词: CRCD; Machine; Learning; Advances; Engineering

0203446Michael GeorgiopoulosUniversity of Central FloridaOrlando, FL"Machine Learning Advances for Engineering Education"This project, at the University of Central Florida (UCF), integrates research results from the theory and applications of Machine Learning into the Engineering/Computer Science curricula. Two new courses and several revised courses include material from Adaptive Reasoning Theory, Genetic Algorithms, Human Behavior Representation, and Simulation Meta-modeling. The objectives of this CRCD project include: 1. Incorporating current state-of-the-art Machine Learning research results into the undergraduate and first year graduate curriculum to enhance students' critical thinking, intellectual growth and communication skills, 2. Offering a unique curriculum, by traditional undergraduate standards, where the PIs integrate their current research results into the curriculum. This curriculum is timely and dynamic, reflecting the PIs' and the machine learning community's research interest changes with time, 3. Offering the opportunity to a multi-disciplinary group of students (spanning the spectrum of electrical, computer, industrial, civil, mechanical, and computer science students) to benefit from research and its transfer into curricula, 4. Assessing and evaluating the educational impact of the project through a sequence of carefully chosen evaluation instruments developed by an educational consultant, and 5. Disseminating the curriculum development efforts to a number of affiliate Universities.

0203446 Michael Georgiopoulos中佛罗里达大学Orlando，FL“Machine Learning Advances for Engineering Education“这个项目在中佛罗里达大学（UCF），将机器学习理论和应用的研究成果整合到工程/计算机科学课程中。两个新的课程和几个修订的课程包括自适应推理理论，遗传算法，人类行为表示和仿真元建模的材料。该CRCD项目的目标包括：1.将当前最先进的机器学习研究成果纳入本科生和研究生第一年的课程，以提高学生的批判性思维，智力成长和沟通技巧。提供一个独特的课程，由传统的本科生标准，其中PI整合到课程他们目前的研究成果。该课程是及时和动态的，反映了PI和机器学习社区的研究兴趣随着时间的推移而变化。提供机会，以学生的多学科群体（跨越电气，计算机，工业，民用，机械和计算机科学的学生的频谱），从研究中受益，并将其转移到课程，4。通过由教育顾问开发的一系列精心选择的评估工具来评估和评价项目的教育影响，以及5.向一些附属大学宣传课程开发工作。