CRCD: Machine Learning Advances for Engineering Education

中佛罗里达大学（UCF）的“机器学习在工程教育中的进展”项目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。两门新课程和几门修订课程包括自适应推理理论、遗传算法、人类行为表征和模拟元建模的材料。本CRCD项目的目标包括：1。将当前最先进的机器学习研究成果融入到本科和研究生一年级的课程中，以提高学生的批判性思维，智力发展和沟通技巧；按照传统的本科标准，提供独特的课程，其中pi将他们当前的研究成果融入课程。这个课程是及时的和动态的，反映了pi和机器学习社区的研究兴趣随着时间的变化，2。3 .为多学科的学生群体（包括电气、计算机、工业、土木、机械和计算机科学的学生）提供从研究中受益的机会，并将其转化为课程；4 .通过一系列由教育顾问精心挑选的评估工具，评估和评价项目的教育影响；向若干附属大学宣传课程发展工作。

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.