Connections, and Demonstrate Value Creation for First Year Engineering StudentsIntroductionThe Rowan University engineering curriculum includes an interdisciplinary first year sequence,Freshmen Engineering Clinic I and II (FEC I and II), which is required for students in allengineering disciplines. Each course has one 75-minute “unlecture” period and one 165-minute“laboratory” period each week. Instructional objectives for the sequence include generalengineering skills such as engineering communication, collection and presentation of data, basicstatistics, dimensional analysis and unit conversions, etc. During the 2018-2019 academic year,FEC I and II were each offered in 17 sections of approximately 20 students each. Each section ofFEC II, which
entail. Initially, this coursewas offered as a one-credit hour seminar format, however, the 2.1 Laboratory-based activitiesclass was expanded to include a design component in order to The laboratory portion of the exercise remains largelyengage students in formal engineering training early in their unchanged from previously reported.curriculum. This trend has occurred in many engineering Proceedings of the 2018 ASEE Gulf-Southwest Section Annual Conference The University of Texas at
considered to be reasonably representative. Forty-three1. Introduction professionals from a broader sampling of CEE sub While civil and environmental engineering (CEE) disciplines completed the second survey. The respondentsundergraduate curricula generally incorporate laboratory were somewhat skewed toward structural engineeringcourses in such topics as material testing, fluid mechanics, (44%). The years of practice of the respondents varied fromand geotechnical engineering, among others, the subject 0-2 years to over 31 years. Respondents with 6 or morematter is often limited to either an experimental years of experience varied from 86% of the broader
electric circuits where the circuit to be built is constructedfrom existing parts and connecting wires that students can assemble. Some instructors will havestudents build a transformer during the course [6], which is a non-rotating machine. Others havehad the students build a simple dc motor [7] to demonstrate the application of the basicelectromagnetic principles to yield rotational motion. But a practical rotating electrical machineis complex to construct, given the need for bearings, insulation, balancing for vibration, anddesign for appropriate cooling.Second, the laboratory materials required to demonstrate the operation and machinecharacteristics can be prohibitively expensive, with some systems costing over one hundredthousand dollars to
Benson, Andrew Danowitz, Paul Hummel, and Joseph Callenes-Sloan Electrical and Computer Engineering, Cal Poly San Luis ObispoAbstractMany undergraduate engineering courses include laboratory work where students are asked towork in pairs or groups to complete assignments. Group work can offer many benefits includingimproved communication and team work skills, appreciation and respect for others, and evenincreased individual performance. However, group work may also present drawbacks includingostracism, unequal work distribution (some group members not ‘pulling their own weight’) anddecreased individual performance. When creating groups, instructors are faced with decidingwhether to allow students to form their own groups or to
. Social support must also beprovided by faculty, and further assistance can be provided by peer mentors.Method of ImplementationThe implementation of the PFE course series involves merging professional principles,experiential learning activities, and academic assignments. Faculty members, industryrepresentatives, university administrators, community members, graduate and undergraduatepeers, and the PFE students themselves all play significant roles in the implementation of thecourse. The format for the course is a cooperative learning style. Students are introduced toconcepts during guest lectures, workshops, and laboratory tours, and are required to exploreideas relating to those concepts through assignments and projects. All assignments and
Paper ID #26679Promoting Undergraduate Research and Education through ExtracurricularEPA P3 ProjectsProf. Woo Hyoung Lee P.E., University of Central Florida Dr. Woo Hyoung Lee, P.E. is an assistant professor in the Department of Civil, Environmental, and Con- struction Engineering at the University of Central Florida (UCF). He received his Ph.D. in environmental engineering from the University of Cincinnati in 2009. Prior to joining UCF in 2013, he worked for U.S. Environmental Protection Agency’s National Risk Management Research Laboratory as a post-doc. His primary research area is to develop electrochemical
Mechanical Engineering with affiliate appointments in Biomedical Engineering, Material Science & Engineering, and Orthopedics & Rehabilitation, at the University of Wisconsin-Madison, where she es- tablished and directed the Bone and Joint Biomechanics (BJB) Laboratory. Dr. Ploeg received her Ph.D. in Mechanical Engineering from Queen’s University at Kingston, Ontario, Canada in 2000. She was the Director Preclinical Stress Analysis Group in the Research Department at Sulzer Orthopedics Ltd. (now Zimmer-Biomet GmbH), Winterthur, Switzerland from 1992-2002. Dr. Ploeg’s research focus is ortho- pedic biomechanics including design of medical devices, bone modeling and remodeling, mechanical testing, and finite
Space Vehicle Mission Planning Laboratory at the University of Maryland Eastern Shore. In 2010, he joined Eastern Michigan University as an Associate Dean in the College of Technology and currently is a Professor in the School of Engineer- ing Technology. He has an extensive experience in curriculum and laboratory design and development. Dr. Eydgahi has served as a member of the Board of Directors for Tau Alpha Pi, as a member of Advi- sory and Editorial boards for many International Journals in Engineering and Technology, as a member of review panel for NASA and Department of Education, as a regional and chapter chairman of IEEE, SME, and ASEE, and as a session chair and as a member of scientific and international
professor and di- rector of engineering technology at the University of Texas, Brownsville (UTB). Prior to joining the UTB faculty he was a visiting professor at the Rochester Institute of Technology and an associate professor of production engineering technology at PSG College of Technology, Bharathiar University, India, where he served as the director of the Computer Vision Laboratory and National Cadet Corps – Engineering Division Director. With over 29 years of teaching and research experience in manufacturing/mechanical engineering and engineering technology, he currently teaches in the areas of CAD/CAM/CIM, robotics and automation, product and process design, materials and manufacturing processes, machine design
reflect on their learnings with the aim of improving theirprogramming skills and the quality of their programs.Introductory programming courses have historically high attrition rates because often studentsare not sufficiently and dynamically engaged with programming tasks. In fact, failure rates of 30to 50% have been reported in literature [1]. Beginners frequently feel frustrated and disenchantedwith the subject since the challenges of learning programming appear to be too overwhelming toovercome. While laboratory components of these courses help students with getting feedbackand encouragement in the face of programming challenges, practice and motivation beyond thelab environment remain uncertain. Therefore, it is necessary to explore
aimed at understanding the effect of introducing the newmethods on the students gaining a more in-depth understanding of uncertainty analysis, as wellas improving their efficiency by using different methods. Four different instructors presentedthese three methods in ten different sections of a laboratory course, and 60 students volunteeredto fill a questionnaire. The survey questions and results are discussed below.1. How much has your understating of the role that uncertainty plays in an experimental analysis improved?2. Evaluate the difficulty of uncertainty analysis using the Law of Propagation of Uncertainty (Taylor’s Series Expansion) which you learned in EGR 220.3. Evaluate the difficulty of uncertainty analysis using Monte Carlo
Added Course Expenses and Technology Fees on Students of Differing Social and Economic StatusAbstractThe field of electronics has made immense advancements in affordability and portability that havetransformed engineering education. Engineering course curricula have increasingly incorporatedmodern technology that has made a positive impact by creating more hands on activities andexperiments. Specialized laboratory equipment and setups are being replaced with off the shelfdevices and components. Customized printed circuit boards can be purchased cheaply andfabricated in days instead of weeks. Creating these hands on activities has many timescorresponded with an increased expense that is passed on to the students in the form of a
assistant with the Visualization, Analysis, and Imaging Laboratory (VAIL), the GeoResources Institute (GRI), Mississippi State University. He is currently an Associate Professor with the Department of Engineering Technology, Prairie View A&M University. His research interests include digital signal processing, image and video coding, and wavelets.Dr. Suxia Cui, Prairie View A&M University Suxia Cui is an associate professor in the Department of Electrical and Computer Engineering at Prairie View A&M University (PVAMU). She joined PVAMU right after she obtained her Ph.D. degree in Com- puter Engineering from Mississippi State University in 2003. Her research interests include image and video processing
Paper ID #27420Board 7: Work in Progress: Approaches to Introduce Biomedical Engineer-ing Design to a Class with Diverse STEM BackgroundsMs. Angela Lai, Carnegie Mellon University Angela is a current 5th year PhD student in the Department of Biomedical Engineering at Carnegie Mel- lon University. She is actively involved in mentoring undergraduate and graduate students in both the laboratory and in the classroom and promoting the field of BME to the younger generations.Ms. Elaine Soohoo, Carnegie Mellon University Elaine is a 5th year PhD student in the Department of Biomedical Engineering at Carnegie Mellon Uni- versity
, student experiences, and educational programs through the use of development and learning theories. Her areas of focus include, among others, experiential learning, internationalizing curriculum, online learning, and educational technology innovations.Dr. Blake Everett Johnson, University of Illinois at Urbana-Champaign Dr. Blake Everett Johnson is a lecturer and instructional laboratory manager in the Department of Mechan- ical Science and Engineering at the University of Illinois at Urbana-Champaign. His research interests include experimental fluid mechanics, measurement science, and engineering education. He oversees un- dergraduate laboratories in fluid mechanics, fluid dynamics, and heat transfer. Pedagogically
over the Internet, computer-based learning increasingly happen in students’ personalspaces (e.g., homes, apartments), as opposed to public learning spaces (e.g., laboratories,libraries). In these personal spaces, it is difficult for students to get help from classmates orteaching assistants (TAs) when encountering problems. As a result, collaborative learning isdifficult and rare. This is especially true for urban universities such as Georgia State Universitywhere a significant portion of students are part-time students and/or commute. To address thisissue, we intend to broaden the concept of “virtual computer lab” to include general computer-based learning happening in “virtual space,” which is any location where people can meet
Cybersecurity Education Interventions: Three Case Studies,” IEEE Secur. Priv., vol. 13, no. 3, pp. 63– 69, May 2015.[14] J. M. D. Hill, C. A. Carver, J. W. Humphries, and U. W. Pooch, “Using an isolated network laboratory to teach advanced networks and security,” in Proceedings of the thirty- second SIGCSE technical symposium on Computer Science Education - SIGCSE ’01, 2001, pp. 36–40.[15] T. Bläsing, L. Batyuk, A.-D. Schmidt, A. Camtepe, and S. Albayrak, “An Android Application Sandbox System for Suspicious Software Detection.”[16] J. Mayo and P. Kearns, “A secure unrestricted advanced systems laboratory,” in The proceedings of the thirtieth SIGCSE technical symposium on Computer science education
explore and share quantitative results. This project’s recentcontributions are organized according to their central framework and presented below.Engineering Identity 1. A Case for Disaggregation. This work-in-progress paper explored how aggregation of demographic groups (gender within race/ethnicity) can obscure meaningful differences in the experiences of EGS. Researchers should disaggregate race/ethnicity by gender and other demographic groups, where possible, to uncover meaningful within group differences [27]. 2. Influence of Laboratory Group Makeup on Recognition. This work-in-progress paper explored the relationship between laboratory groups and engineering identity. We found that participants with two
University of Central Florida and is anticipated to graduate in Spring 2019. He has two masters degrees one in mechanical engineering from UCF and another in aerospace engineering form Sharif University of Technology. He currently works in the Nanofabrication and BioMEMS Laboratory at UCF and his research areas include Nanofabrication, Microfluidics, Sensors and Actuators, Computational Fluid Dynamics, Optimization, and Mathematical Modeling. c American Society for Engineering Education, 2019Running Head: Project CoMET RETCollaborative Multidisciplinary Engineering Design Experiences for Teachers (CoMET) Train the Trainer Model of Supports Type 5 Work in ProgressThe K-12 learning environment is
, traffic mangement and monitoring, and ethical hacking. Such fundamental modules should be accompanied withreal-world lab experiments and exercises to provide students with a better opportunity for understanding and mastering courseconcepts and material [3]. As there are various types of cyber security laboratories [4], Willems and Meinel [5] introduced software to assesscyber security lab experiments through a virtual machine technology (an online-based laboratory). The solution offers anefficient parameterization of experiment scenarios as well as a dynamic toolkit implementation virtual machine configuration.Meanwhile, Xiong and Pan [6] discussed an approach to integrate ProtoGENI, a GENI testbed resource, into computer scienceand
Engineering at the University of British Columbia, Vancouver, Canada, in 2017. He was a Lecturer in the Department of Mechanical Engineering at Brunel University London, UK, 2014-16. He was a senior lecturer at the University of Hertfordshire before joining Brunel, 2011-2014. He was a visiting scientist and postdoctoral researcher in the Industrial Automation Laboratory, Department of Mechanical Engineering, at the University of British Columbia (UBC), Vancouver, Canada, 2007-2012. He was a visiting researcher at California Institute of Technology, USA, 2009-2011. He carried out post- doctoral research in the Department of Civil Engineering at UBC, 2005-2007. He received his Ph.D. in Mechanical Engineering from Brunel
the project costs. The point wherethe marginal benefits of increasing reliability equals the associated marginal costs of addingmore firm capacity determines the optimal EUE level. Table 2 shows the VOLL for an averagePSE customer for a one-hour duration [3].The US Department of Energy’s (DOE) Interruption Cost Estimator (ICE), which is described indepth by the Lawrence Berkeley Laboratory study titled “Updated Value of Service Reliabilityfor Electric Utility Customers in the United States”, models interruption costs per customer perevent based on the length of outage duration and customer class (e.g., residential, smallcommercial and industrial, medium and large commercial and industrial) for each U.S. State. Aper-customer peak load
Florida previously. His research interests include Mixed-signal/RF circuit design and testing, measurement automation, environmental & biomedical data measurement, and educational robotics development.Mr. David Malawey, Texas A&M University David earned his B.S. in mechanical engineering at Missouri University of Science and Technology in 2011. After three years in the automotive industry in engine design and engine calibration, he transitioned to Texas A&M University for a M.S. in Mechanical Engineering in College Station, TX concluding in 2016. He has become involved in applied research in additive manufacturing, internet of things, and mechatronics. Currently his role is Technical Laboratory coordinator
(Figure 1),paper chromatography, and enzyme linked immuno-sorbent assay(ELISA). Figure 1: Students perform gas chromatography to identify the antidote. Biology: The biology session began with a general overview of the biofuels laboratory and the CRISPR – Cas9 system. The students were then divided into four groups: Biomimicry (created a robot hand using drinking straws), Nanomedicine
construction trainingat the Academy’s Field Engineering and Readiness Laboratory (FERL), where cadets practiceCivil Engineering principles through a plethora of hands on activities such as soil analysis,concrete construction, wood frame construction, surveying, stream flow analysis, heavyequipment operations, etc. This training is only offered to a select few non-Civil Engineeringmajors, which is where I began my Civil Engineering and bridge building involvement. Thebridge construction project required a two-semester commitment - an academic year in theclassroom prior to the construction of the bridge during one of the three, 3 week-long cadetsummer periods.Academics Traditionally, classes at the Air Force Academy are only one semester long
, drafters, or designers.In a recent paper (Jin et al, 2018), faculty in both the UNH Engineering Technology andComputing Technology Programs discusses lessons learned from Capstone Projects over the last25 years. The authors describe the advantages and challenges associated with projects carriedout internal to the college, and with those carried out with external partners. External partnerscould be companies or laboratories and centers within the University outside of those directlyresponsible for the undergraduate programs. Both approaches can be successful, and the paperdiscusses attributes that are beneficial to each type of project.Project Sponsor: The University Instrumentation CenterThe University Instrumentation Center (UIC) at the
innovative teaching methods proposed in the flipped classroommodel as described herein.This paper focuses on the implementation of a flipped classroom for an undergraduate biomedical engineeringintroductory biomechanics course consisting of 77 junior and senior engineering students. Key aspects of thiscourse included pre-recorded video lectures, interactive problem-based learning during in-class time, onlinehomework, and applied examples of course content experienced during laboratory sessions. Unique assistancein the development of this course was provided by graduate students who provided significant contributions tothe prep work needed to prepare a course for the flipped classroom model. The purpose of this paper was todetermine the effectiveness
, Prairie View A&M University Dr. Yonghui Wang received his B.S. in Optoelectronics from Xidian University in 1993, his M.S. in electrical engineering from Beijing Polytechnic University in 1999; and his Ph.D. in computer engineering from Mississippi State University in 2003. From 1993 to 1996, he was a Research Engineer with the 41st Electrical Research Institute in Bengbu, China. From July 1999 to December 1999, he worked as an IT Specialist in IBM China, Beijing, China. From 2000 to 2003, he was a research assistant with the Visualization, Analysis, and Imaging Laboratory (VAIL), the GeoResources Institute (GRI), Mississippi State University. He is currently an Associate Professor with the Department of
class, it can be difficult to employ a writing-based approach. This difficulty arises in large part because these approaches are often seen astime-consuming when it comes to grading. And, these types of classes are already filled with agreat deal of homework assignments that primarily focus on problem solving. These homeworkassignments often serve as the primary mechanism outside of exams and quizzes to assessstudent learning. Many of these introductory courses also include a laboratory component. Theassessment of the laboratory component typically involves a written laboratory report. Becausethe introductory classes often have a reasonably large number of students in them, it may bechallenging to think about adding a writing component to these