Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Nina Miville, University of Miami

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Industrial Engineering Division (IND)

Paper ID #41499Putting the Project Back in Project Management CoursesDr. Nina Miville, University of Miami NINA DeCARIO MIVILLE is an Associate Professor of Practice of Industrial and Systems Engineering and Associate Dean of Undergraduate Studies at the University of Miami in the College of Engineering. She has taught there for 16 years and prior to that she worked in industry for over 20 years. In addition, Dr. Miville has served as an Adjunct Faculty at Florida International University and American Intercontinental University. She also has 15 years of healthcare experience and 18 years of managerial and supervisory

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Megan Hammond, University of Indianapolis; Joan Martinez, University of Indianapolis; Joseph B. Herzog, University of Indianapolis

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Industrial Engineering Division (IND)

-optics, including plasmonics, nanofabrication, computational modeling, photonic crystals, and engineering education. ©American Society for Engineering Education, 2023 Work in Progress: An optimization model for assigning students to multidisciplinary teams by considering preferences and skillsAbstractProject-based learning has become popular and prevalent across higher education. Additionally,the Accrediting Board for Engineering and Technology also emphasizes the ability to function inmultidisciplinary teams. These educational practices have resulted in the implementation ofteam-based projects throughout engineering curriculums. Team formation, however, is not atrivial process and occasionally

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jakia Sultana, University of Texas, El Paso; Md Fashiar Rahman, University of Texas, El Paso; Christopher Colaw, Lockheed Martin; Tzu-liang Bill Tseng, University of Texas, El Paso

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Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and computer simulation for industrial and healthcare applications. In addition, Dr. Rahman has taught various engineering courses in industrial and manufacturing engineering. His research area covers advanced quality technology, AI application in smart manufacturing, health care applications, computational intelligence/data analytics, and decision support systems.Christopher Colaw, Lockheed MartinProf. Tzu-liang Bill Tseng, University of Texas, El Paso Dr. Bill Tseng is a Professor and Chair of the Department of

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Pelumi Olaitan Abiodun, Morgan State University; Vandana Pandey, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University

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, hands-on components stimulate curiosity. This creates astimulating learning atmosphere that encourages in-depth exploration of the underlyingtechnological concepts and piques curiosity. When compared to more passive learning methods,experiment-centric pedagogy has been demonstrated to boost motivation, peer-learning, andretention [13]. Following a study on learners' experiences after exploration and experimentation,Connor et al. [14] emphasized that project-based pedagogy frequently contains implicit biasesthat limit learning, either in terms of the procedures followed or the expected results. This wouldresult in predictable outcomes that do not promote divergent thinking and creativity [14]. Thisleads to the authors providing evidence that

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Eric Specking, University of Arkansas; Shengfan Zhang, University of Arkansas

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Industrial Engineering Division (IND)

Paper ID #40303An Analysis of Data Analytics Curriculum Development through an NSFResearch Experience for Teachers (RET) Program in ArkansasDr. Eric Specking, University of Arkansas Dr. Eric A. Specking serves as the Assistant Dean for Enrollment Management and Retention for the Col- lege of Engineering at the University of Arkansas. Specking received a B.S. in Computer Engineering, a M.S. in Industrial Engineering, and a Ph.D. in Engineering from the University of Arkansas. His research interest includes decision quality, resilient design, set-based design, engineering and project management, and engineering education

Conference Session

Industrial Engineering Division (IND) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Arunkumar Pennathur, The University of Texas at El Paso; Priyadarshini Pennathur, University of Texas at El Paso; Emily Blosser, University of Louisiana Lafayette; Nicholas A Bowman, University of Iowa

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Industrial Engineering Division (IND)

and retaining URM students.We continue to develop the main components of the SEISS framework including the technicalsystem analysis of key operations and attributes and the social system analysis with focal rolenetworks, GAIL and VECON to contribute to our understanding of how to make systems leveltransformations to better align resources, needs and constraints on capacity to successfullyrecruit and retain URM students.4. AcknowledgmentsThis project was supported by the National Science Foundation (NSF) Award Number DUE-2042363 to all the authors of this work.5. References[1] J. C. Taylor and D. F. Felten, Performance by design: Sociotechnical systems in north america. Prentice Hall, 1993.[2] A. Majchrzak and K. J. Klein, “Things are

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

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students to industry. Exposing students to industry in early stages of their academictrajectory allows them to apply theoretical knowledge to real engineering projects orproblems [30].Engineering students in our department must engage in three mandatory summer internshipsat three different employment levels. The first internship leads the student to understand howan enterprise works at the operations level. Interns at this level engage in physical work, suchas working in a production line. The second internship allows the student to understand theenterprise from an intermediate job level. Students are assigned ‘desk jobs’ and work withessential data. The third internship is at the professional level and allows students toexperience working and