AC 2012-3597: FRAME-BY-FRAME ANALYSIS AND DIAGNOSIS OF AHIGH-SPEED PACKAGING SYSTEM USING FASTEC INLINE NETWORK-READY CAMERA VISION EQUIPMENTProf. Akram Hossain, Purdue University, Calumet (Tech) Akram Hossain is a professor in the Department of Engineering Technology and Director of the Center for Packaging Machinery Industry at Purdue University Calumet, Hammond, Ind. He worked eight years in industry at various capacities. He is working with Purdue University Calumet for the past 24 years. He consults for industry on process control, packaging machinery system control, and related disciplines. He is a Senior Member of IEEE. He served in IEEE/Industry Application Society for 15 years at vari- ous capacities. He
(AI) in education has led Project and Program Management and Lean Six Sigma. Theseto significant changes in how students interact with course courses are taught to both technical and business students atmaterials in all disciplines. AI can assist in knowledge University of Bridgeport. These courses are foundationalacquisition and aid in assessment of knowledge application. courses in engineering education, equipping students with theHowever, it can also challenge traditional pedagogical skills necessary to manage projects, optimize processes, andapproaches, requiring educators to rethink assessments, ensure quality in engineering work [4]. These disciplines areassignments, and
Paper ID #35571Fostering a Supportive Mentoring Space During a Global PandemicDr. Matthew Voigt, Clemson University Matthew (he,him,his) is an Assistant Professor of Engineering and Science Education at Clemson Uni- versity. His research interests center around issues of equity, access, and power structures occurring in undergraduate STEM programs with a focus on introductory mathematics courses.Dr. Eliza Gallagher, Clemson University Eliza is an Assistant Professor of Engineering and Science Education at Clemson University, with joint appointments to Mathematical Sciences and Education and Human Development. Her research
Paper ID #9584Inductive Learning Tool Improves Instrumentation CourseProf. James Andrew Smith P.Eng., Ryerson University Dr. Smith specializes in Biomedical Engineering at Ryerson University in Toronto, Canada. He was Biomedical Engineering Program Director in 2010/11 and is currently Biomedical Engineering Stream Coordinator. His research combines aspects of biomechanics and robotics, with active research projects in legged systems, obstetrics and surgical systems. In addition to teaching awards received at the University of Alberta and Ryerson University, he is a recipient or co-recipient of four IEEE Real World
Paper ID #41474An Update Regarding the Pedagogical Efficiency of Continuous vs. DiscreteUser Interactions with Computer SimulationsDr. David M. Feinauer P.E., Virginia Military Institute Dr. Feinauer is an Associate Professor of Electrical and Computer Engineering at Virginia Military Institute. His scholarly work spans a number of areas related to engineering education, including the first-year engineering experience, incorporating innovation and entrepreneurship practice in the engineering classroom, and P-12 engineering outreach. Additionally, he has research experience in the areas of automation and control
the course. Phasetwo of our methodology is presently in progress and is utilizing observations made in phase one.Methodology: Phase 1An introduction to engineering course was used to examine the conceptual grasp of first yearengineering students for a set of topics that included statics, engineering economics, statistics,use of spreadsheets, and programming. With a single word used to describe the lecturetopic, statistics for example, the students were given three to five minutes to freely associate withthe topic and then record their thoughts on a mind map. Following the presentation of concepts,sample problems were presented followed by an in-class assignment requiring use of conceptspresented in the lecture. After completing the assignment
, plasma physics, x-ray imaging, and image processing. c American Society for Engineering Education, 2016 Student Project for an Electromagnetics Course AbstractThe course on electromagnetics, which is a mainstay of many electrical engineering programs, istypically taught in the junior year as a theory course without a lab. Several abstract and difficultconcepts are introduced and often, even good students, will leave the course having mastered themathematics but with little intuition about how the theory they know relates to the physicalworld of engineering. Concepts introduced include movement of charge, capacitance,inductance, static magnetic fields, and
and cyber-resiliency. Industry-standard security information and event management toolssuch as Splunk and intrusion detection systems are used to train students to detect, defend andanalyze coordinated cyber attacks. The hardware-in-the-loop learning ecosystem lets the studentsperform red-team and blue-team exercises for power systems following cybersecurity standards,guidelines, and related frameworks. As an outcome, the students develop an understanding of cy-ber security concepts such as digital forensics, incident response, and reverse engineering relatedto the power grid, and are able to design steps to keep the grid infrastructure secured. Overall,our approach advances the cybersecurity profession through hands-on training and helps
, mobile computing, networks, operatingsystems, digital forensics, philosophy/ethics, programming languages, software engineering,statistics/probability, and web programming 18 . Course content may range from cryptography, andthe mathematical principles and algorithms used to protect data to system-level protocols 4 .Additionally, the goals of courses vary dramatically, such as teaching cybersecurity as practicalvocation skills, as good engineering practices, or as academic theories.The methods used to teach these courses are just as varied as their goals. Some courses focus onlaboratory-based, experimental operations 6,14 . Others are lecture-based and involve the reviewand discussion of literature, and still others are challenge based courses
, and then provide a case study of the MIT 2.007 Electric Vehicle Design lab section, nicknamed “2.00GoKart” by the students, as well as suggestions of how others might run similar classes at other universities and the resources necessary for such a class. Background Handson learning is a fundamental component of the MIT Mechanical Engineering program. Currently, this learning takes place either formally through classes or informally through independent projects or extracurricular activities. Classes in Machine Tools, Design and Manufacturing, Machine Design, Product Design, and Toy Design all have various lab components where students are expected to create
-Southwest Annual Conference The University of Texas at Arlington, Arlington, TX Copyright © 2025, American Society for Engineering Education 2advertised/offered by different academic institutions. The typical in-person or in-class courses areshrinking in offerings at some institutes. More and more institutions are offering courses, evenwhole degrees, on-line. A lot of them offer graduate courses and programs online. Some, even atthe high-school level, are offering online degrees.LaMeres and Plumb3 found out that converting undergraduate digital circuits to online delivery isas effective as in-classroom offerings. They even found the same result for
Based Instruction in Matlab. CBLIS'99, 4th International Conference on Computer Based Learning in Science, University of Twente, Enschede, the Netherlands. July 2- 6. [6] Bruce-Lockhart, M., Norvell, T.S. and Cotronis, Y. (2007). Program and algorithm visualization in engineering and physics. Electronic Notes in Theoretical
Security (DHS), and the ResilientInfrastructure and Sustainability Education Undergraduate Program (RISE-UP) funded by theHispanic Serving Institution (HSI) division of the National Science Foundation (NSF). Bothinitiatives share the common goal of building capacity to improve infrastructure resiliency in theface of future natural events. The projects developed flood-related modules but the depth ofknowledge that students were expected to have after they completed the modules variedsignificantly. RISE-UP aimed to sensitize and inform students about flood hazards through a 3-hour long lecture and a case study assignment embedded into a 3-credit hour course that covereda wide variety of topics. UPRM-DHS CRC offered a 3-credit hour (45 contact hours
2006-1004: A SUCCESSFUL PARTNERSHIP BETWEEN INDUSTRY ANDACADEMIA: RED GOLD, INC.Jody Pierce, Purdue University Jody Pierce is an Assistant Professor of Organizational Leadership and Supervision at Purdue University's College of Technology location in Anderson, Indiana. Her business and industry background includes 28 years between General Motors and Delphi Automotive in manufacturing and labor relations. She has a Bachelor of Science degree in Business from Saint Mary-of-the-Woods College and a Master of Business Administration from Anderson University.Russell Aubrey, Purdue University Russell A. Aubrey is a Professor of Electrical and Computer Engineering Technology at Purdue
Robotics, vol. 2013, 2013.[7] D. Blank, D. Kumar, L. Meeden, and H. Yanco, "Pyro: A python-based versatile programming environment for teaching robotics," Journal on Educational Resources in Computing (JERIC), vol. 4, p. 3, 2004.[8] A. Elkady, J. Joy, and T. Sobh, "A plug and play middleware for sensory modules, actuation platforms and task descriptions in robotic manipulation platforms," in Submitted to Proc. 2011 ASME International Design Engineering Technical Conf. and Computers and Information in Engineering Conf.(IDETC/CIE’11), 2011.
HF design additionally requires that engineering and otherstudents see how HF design is applied to challenges in their discipline or future career. Ensuringfuture vitality requires that HF courses both enhance students’ chances HF-related employmentas well as entice students to pursue graduate studies.Discussion of Planning MeetingsTo create a course on high frequency design techniques that could serve as wide an audienceof students as possible, the three faculty and one graduate student involved in the course meton a regular basis (primarily) during a summer intercession to discuss the key requirementsfor such a course. The following paragraphs summarize the discussion of these individualsand serve to outline the framework around which the
systems courses to teachIndustrial Engineers key concepts related to manufacturing. This method usually consists ofstudents working in teams competing to meet customer demand while minimizing cost. Thestudents are presented with a hypothetical production system and the necessary details about that Page 13.840.5system. The students must then forecast for demand of the final product and release necessaryproduction and purchase orders to deliver the goods to the customer in the most cost-effectivemanner.Simulation DesignMany different production simulation products are available to instructors. However, mostcurrent products do not provide enough
Paper ID #7791The Confluence of Information: Teambuilding is not enough to produce suc-cessful interdisciplinary teamsProf. Edwin R. Schmeckpeper, Norwich University Edwin Schmeckpeper, P.E. Ph.D., is the chair of the Department of Civil and Environmental Engineering Department at Norwich University. Norwich University was the first private school in the United States to offer engineering courses. In addition, Senator Justin Morrill used Norwich University as the model for the Land-Grant colleges created by the 1862 Morrill Land-Grant Act. Prior to joining the faculty at Norwich University, Dr. Schmeckpeper taught at the
andinstrument were faithfully modeled in Unity from their physical counterparts, giving a sense ofrealism. Both game-based and virtual reality approaches have different advantages anddisadvantages, that makes them effective in different learning settings. A comparison of thesetwo approaches demonstrates the synergies of future integrated implementation. Lessons learnedwill help instructors in understanding and identifying the proper technology to addressexperiential educational challenges that are related with virtually training engineering students.1. Introduction1.1 Surveying labsIntroductory surveying courses aim at introducing surveyors / geomaticians and civil engineersinto the main surveying principles and data collection methods with modern
AC 2009-417: LABORATORY IMPLEMENTATION OF A SMALL-SCALECAN-BASED PM BLDC MOTOR CONTROL FOR AUTOMOTIVE ACCESSORYELECTRIFICATIONGene Liao, Wayne State University Gene Liao is currently an associate professor in the Engineering Technology Division at Wayne State University. He has over 15 years of industrial practices in the automotive sector prior to becoming a faculty member. Dr. Liao has research and teaching interests in the areas of automotive components design and analysis, multibody dynamics, and CAE applications in manufacturing. He received the B.S.M.E. from National Central University, Taiwan, M.S.M.E. from the University of Texas, Mechanical Engineer from Columbia University, and the
Paper ID #32976Factors Influencing Conceptual Understanding in a Signals and SystemsCourseCaroline Crockett, University of Michigan Caroline Crockett is a graduate student at University of Michigan, working towards a PhD in electrical engineering. Her interests include image processing and engineering education research.Dr. Cynthia J. Finelli, University of Michigan Dr. Cynthia Finelli is Professor of Electrical Engineering and Computer Science, Professor of Education, and Director and Graduate Chair for Engineering Education Research Programs at University of Michigan (U-M). Dr. Finelli is a fellow in the American
in miscommunication; however, it is not funnywhen a project fails because of a misunderstanding--especially when it could have beenprevented.2. BACKGROUNDThis research effort was motivated by the observation and experience of communicationdifficulties during IT system development. The most difficult part of defining requirements iscoming up with a common model and vocabulary to describe the domain and function of the newsystem. The problem also appears when attempting to rationalize vocabulary between IT and itsadjacent disciplines. Information Technology is a computing discipline that shares a heritagewith Computer Science, Software Engineering, Computer Engineering, and InformationSystems. Other related domains include Business Process
import to their courses.2 Related WorkTo further solidify the importance of computational thinking (CT ) skills in college students, it iscrucial to examine additional studies regarding this subject. Hsu et al. proposed that traditionally,the manner in which computational thinking is taught to students has been rather challenging [7].However, over the last decade, significant improvements have been made to the way that CT istaught. Advancements regarding programming, learning tools, demographics, and applied courseshave all contributed to the augmentation of CT in everyday learning for students.Another work conducted by Gong et al. examines some of the most driving factors in collegestudent’s computational thinking skills (CTS) through the use
power and to investigate other possible metrics and deep learning frameworks that can be used for speaker diarization.Mr. Uday Shankar Shanthamallu ”I received my B.S degree in Electronics and Communications from the National Institute of Engineering, India in 2011. I am currently pursuing my Master’s and PhD program in Electrical Engineering at Arizona State University(ASU). I am advised by Dr. Andreas Spanias. I joined Sensor, Signal and Information Processing Center (SenSIP) at ASU in Jan 2016. My research interests lie at the overlap of sensors and Machine learning and Big Data including, but not limited to Pattern recognition and Anomaly detection. In summer 2016, I did a summer internship at NXP Semiconductors
Paper ID #32565Graduate Student Experiences As Told Through Instagram PostsMs. Liesl Krause, Purdue University at West Lafayette Liesl Krause is a current Ph.D. student at Purdue University in the Polytechnic Institute. She is cur- rently funded through the Purdue Doctoral Fellowship. She has research interests in student mentorship in graduate school and student well-being. Liesl graduated from Villanova University in 2016 with her Bachelor’s in Electrical Engineering and graduated from Purdue University’s Weldon School of Biomedi- cal Engineering in 2018 with her Master’s. Liesl is the current President of PhD Balance
World Wide Web, http://www.acm.org/crossroads/xrds2-2/weblaw.html .10 Open Software Foundation, http://www.osf.org .MICHAEL WERNERMichael Werner, wernerm@acad.wit.edu is a Professor of Computer Science at Wentworth Institute ofTechnology in Boston. His main interests are in bringing objected-oriented analysis, design and implementationtechniques into undergraduate software engineering courses. He is currently completing a Ph.D dissertation atNortheastern University entitled Facilitating Schema Evolution With Automatic Program Transformations. Page 4.585.8
Session 3513Interactive Java-based Web Site for Teaching Chemical Reaction Stoichiometry William R. Smith, Ishuwa Sikaneta/Ronald W. Missen University of Guelph/University of Toronto1 IntroductionChemical reaction stoichiometry (CRS) is a branch of chemical stoichiometry dealing withthe constraints, in the form of chemical equations, placed on changes in the composition ofa closed reacting system by the requirement for conservation of the amount of each atomicspecies. This simple conservation concept has far-reaching consequences for all of chemistryand chemical engineering, including reaction kinetics and
interests include digital learning, UI/UX, web development, cybersecurity, web accessibility. knn0010@auburn.eduDr. Cheryl Seals, Auburn University Dr. Cheryl Denise Seals is an associate professor in Auburn University’s Department of Computer Science and Software Engineering. She graduated with a B.S. C.S. from Grambling State University, M.S. C.S. from North Carolina A&T State University and a Ph.D. C.S. from Virginia Tech. Seals conducts research in Human Computer Interaction with an emphasis in visual programming of educational simulations, user interface design & evaluation, and educational gaming technologies. Dr. Seals also works with computing outreach initiatives to improve CS education at all levels
recentadvances in computer and other technologies. These advances have resulted in numerouscomputer programs to solve traditional and novel problems. The fundamental challengingproblems in engineering and technology education are related to the improving the student–instructional technologies interactions to incorporate the required learning tools and newadvances in fundamental and applied sciences, management, etc. Engineering and technologygraduates must have a comprehensive background covering a wider range of technical subjects.The graduates must be proficient in the use of engineering and scientific equipment, conducting Page 24.876.3experiments
Paper ID #29525Predicting Retention Rates from students’ Behavior.Dr. Awatif Amin, Johnson C. Smith University Awatif Amin is a computer science Assistant professor at Johnson C. Smith University scince 2001. She primarily focuses on programming and data analytics. She completed her Doctorate of Management in organizational Leadership with specialization in Information System Technology (DM/IST), She earned her B.S. and M.S. in Computer Science. c American Society for Engineering Education, 2020 Predicting Retention Rates from students’ Behavior.AbstractMachine learning and Data mining