also work in the design studios, electronic andmeasurement laboratories and they use for solving the tasks more than 15 different softwaretools.After the roll-out of the racing car the students start testing the systems and components, andadjust the performance, primarily the vehicle dynamics, using modern on- and off-board tools.The signals acquired with the telemetric system are saved onboard and evaluated later offlinewith Matlab® or Diadem®. Supported by industrial sponsors they drive the car on provinggrounds. The aim is to be perfectly prepared for the competitions.The SAE ® competition consists of two event packages: the static events and the dynamicevents. During the static events the university teams have to defend their technical
or laboratory, targeted violence against a professor • Research risks (loss of research data or specimens, misuse of grant money, data fabrication, plagiarism, failed collaborations) • Other risks: email privacy risks (non-university accounts), unfair student discipline, discrimination, plagiarism, embezzlement, tenure denial complications and lawsuits, loss of computer data, field trip accidents, suicide, etc.Operationally, Ann Franke advises to take a broad view of what could go wrong, focus on smallsteps for improvement, get help, follow up, adjust and stick with it for the long term.Though not focused on college teaching, Dunklee et al in "A Primer for School RiskManagement" identify the following relevant
research projects: Page 13.279.17Page 13.279.18Page 13.279.19Refer ences 1. Cheah, Lynette, Christopher Evans, Anup Bandivadekar, and John Heywood. ÐFactor of Two: Halving the Fuel Consumption of New U.S. Automobiles by 2035Ñ. Cambridge, Massachusetts: MIT Laboratory for Energy and the Environment, October 2007. 2. An, Feng and John M. FgEkeeq0"ÐVtgpfu"kp"Vgejpkecn"Ghhkekgpe{"Vrade-Offs for the U.S. Light Vehicle Hnggv0Ñ"UCG"4229-01-1325. 3. Vwttgpvkpg."Vjqocu"U0."cpf"Mgppgvj"U0"Mwtcpk0"ÐEct"dw{gtu"cpf"hwgn"geqpqo{AÑ"Gpgti{"Rqnke{"57."pq0"4" (February 2007): 1213 - 1223. 4. Rgnmocpu."Nwe."cpf"Rcvtkem
expected that each individual instructor may attribute the same hypotheticalerror to different root error classes, there will at least be a consistent frame of reference for anindividual instructor.While error assessment was implemented successfully in a lecture-based thermodynamics,particularly in analyzing homework and exams, and with limited success for a lab-basedengineering materials course, it is anticipated that this methodology could be expanded toencompass assessment for laboratory reports, presentations, and group work. In the next section,future implementation plans are detailed along with anticipated challenges.Error Assessment in the Future: Proposed ImplementationError assessment was implemented successfully in a sophomore-level
Devices, Irwin, Chicago, 1997.8. T.-R. Hsu, MEMS and Microsystem: Design and Manufacture, McGraw-Hill, 2002.9. B. A. Boley, and J. H. Weiner, Theory of Thermal Stresses, John Wiley & Sons, New York, 1960.Bijan SepahpourBijan Sepahpour is a Professor of Mechanical Engineering and is currently the chairman of theMechanical Engineering Department at The College of New Jersey. He is actively involved in thegeneration of design-oriented exercises and development of laboratory apparatus and experiments in theareas of mechanics of materials and dynamics of machinery for undergraduate engineering programs.He is serving as the primary advisor for this project
Services(ETS) as described by Ekstrom, French, and Harman6. Subjects were offered extra course creditif they completed all four tests. The subjects took a pre-SCI test during the first ten days of thecourse and a post-SCI test during the last week of this course. The same test was used for thepre- and post- examinations. The PFT and CRT tests were administered at the same time as thepost-SCI test. Seventy-six students completed both the pre- and post-SCI tests. Several othersubjects completed either the pre- or post-tests, but not both. These students either dropped thecourse during the semester or did not participate in both tests. These data were excluded for thepurposes of this study. The tests were administered in a computer laboratory. The
. Page 14.164.7Student Course Evaluation and Teaching Effectiveness:At the end of the course, course evaluations were conducted. At ASU-Poly, a course isevaluated on the basis of 17 criterions. The students evaluate course (exclusive ofinstructor based on following 7 questions).EVALUATION OF THE COURSE (exclusive of the instructor) 1. Textbook/supplementary material in support of the course 2. Value of assigned homework in support of the course topics. 3. Value of laboratory assignments/projects in support of the course topics. 4. Reasonableness of exams and quizzes in covering course material. 5. Weight given to labs or projects, relative to exams and quizzes. 6. Weight given to homework assignments, relative to exams and quizzes. 7
, a research two-semester course is introduced in the freshman year. Thecourse is a small-scale model of the senior capstone project. The main objective of the course isto improve student retention and to recruit more students to one of the engineering clubs. Thefocus of the course is to introduce students to the project management skills. The majordifference between this course and the senior capstone project course is the technical level of thestudents. To overcome that, the theoretical part of the project was assigned to a sophomore levelcourse where these students have the needed technical skills for the project. The course wasoffered as a one-hour lecture for the first semester and three-hour laboratory during the secondsemester. The
responses given during students’presentations, we have gained and will continue to gain more information about theorientation, emphasis, quality and sustainability of our diploma degree program. In particular,the management of the contradiction between compact tertiary education and very highrequirements of knowledge sustainability is one of the greatest challenges for us. We havebeen persuaded of the necessity of continuous, well structured, constitutive project basedlearning during engineering education and close collaboration with the relevant industries.The harmonious paradigm of lectures, seminars, laboratories, and project work is a guaranteeof an optimal degree program in engineering education.Naturally, we are constantly reflecting on the
AC 2009-197: ASSESSMENT OF PROGRAM OUTCOMES FOR ABETACCREDITATIONHakan Gurocak, Washington State University, Vancouver Hakan Gurocak is Director of School of Engineering and Computer Science and Associate Professor of Mechanical Engineering at Washington State University Vancouver. His research interests are robotics, automation, fuzzy logic, technology assisted distance delivery of laboratory courses and haptic interfaces for virtual reality. Dr. Gurocak is an ABET Program Evaluator for mechanical engineering.Linda Chen, Washington State University Vancouver Dr. Xiaolin Chen is an Assistant Professor in the School of Engineering and Computer Science at Washington State University Vancouver. She
effectiveness ofsimulation and animation to improve teaching effectiveness in the classroom. The classes thatthese tools are used are mostly upper level engineering courses were the theoretical concepts aremore difficult to understand by the students. The class sizes where these methods are appliedrange from 15 to 23 students.1. Robot Kinematics Visualization using Matlab™The treatment of kinematics and inverse kinematics in Robotics and Mechatronics classes canbecome rather abstract. Using industrial or educational robotic manipulators to demonstrate forexample the Denavit-Hartenberg parameters in class or laboratory environments is very Page
Paper ID #18161Pop-Culture Learning Technique Applied to ThermodynamicsDr. Laura A. Garrison, York College of Pennsylvania Dr. Laura Garrison received her B.S. in Mechanical Engineering from the University of Texas and her M.S. in Operations Research from Stanford University. She then worked for AT&T Bell Laboratories and AT&T Federal Systems before deciding to pursue her Ph.D. in Bioengineering at Penn State University in the area of experimental fluid mechanics associated with the artificial heart. After graduating, she worked at Voith Hydro for five years in the area of Computational Fluid Mechanics. For the
Paper ID #17858Flipping an Engineering Thermodynamics Course to Improve Student Self-EfficacyDr. Karim Altaii, James Madison University Dr. Altaii holds a Ph.D. in mechanical engineering, and received his doctorate from The City University of New York. He is a registered Professional Engineer. He holds five patents in solar energy applications and in irrigation system. He is the director of two international summer programs. He is the Co-Director of the Advanced Thermal-Fluids laboratory. His primary interests are in renewable energy applications, fluid-thermal sciences, and international education.Dr. Colin J. Reagle
. Courses taught include undergraduate finite elements, thermodynamics, fluid dynamics, heat transfer, and engineering economics and ethics, and graduate finite elements, numerical methods, thermodynamics, statistical me- chanics, plasma fundamentals and gas dynamics.Dr. Bradley Davidson, University of Denver Dr. Bradley Davidson is an Associate Professor in Mechanical Engineering and director of the Human Dynamics Laboratory at the University of Denver and Clinical Assistant Professor at the University of Colorado Anschutz Medical Campus. He holds a BS in civil engineering from Tennessee Tech, an MS in engineering mechanics from Virginia Tech, and a PhD in biomedical engineering from the Virginia Tech–Wake Forest
choosing and sizing proper machine elementshaving certain final design specifications. This involves having a working knowledge of machineelements such as linkages, bearings, gears, springs, screws and fasteners, shafts, and columns.Over the years, the machine design course has been improved with efforts to introduce project-based learning [3], hands-on machine design laboratories [4] and finite element analysis projects[5]. Despite advances in overall curriculum, junior-level machine design course delivery hasnot changed much from authoritative lecture style in the classroom, together with homeworkassignments that only reinforce analysis concepts by solving problems through pluggingexplicitly given parameters in the problem statement into
Education, New York, 2015.[4] Correlation of Critical Heat Flux in a Bundle Cooled by Pressurized Water, BAW- 10000A, Lynchburg, Virginia, Babcock & Wilcox, 1976.[5] M. Mikofski, IAPWS_IF97, https://github.com/mikofski/IAPWS_IF97. Obtained from https://www.mathworks.com/matlabcentral/fileexchange/35710-iapws-if97- functional-form-with-no-slip. Accessed August 31, 2017.[6] D. Rowe, COBRA-IIIC: A Digital Computer Program for Steady State and Transient Thermal-Hydraulic Analysis of Rod Bundle Nuclear Fuel Elements, BNWL-1695, Richland, Washington, Battelle Pacific Northwest Laboratories, 1973.Appendix – Learning AssessmentThis is a multiple choice assessment. The questions and potential
course, as is technical and plane stress. The realistic constraints reading related to laboratory experience such as economic lifelong learning and will include material factors, safety, ethical responsibility. testing, analyzing, and reliability, aesthetics, troubleshooting. ethics, and social impact. How Design Courses ProgressSurvey MethodIn order to quantitively measure the success and achievements of the implementation of adesigned-based project that challenges freshman students to
discussed. Then specifics on how the project was executed are presented. This is followed bya discussion of assessment and recommendations for improvement. Finally, the paper concludeswith an overview of the project challenges and benefits.Course BackgroundThe Introduction to Finite Element course is a mechanical engineering technical elective for under-graduates, brought to the program in 2013. The course format includes two hours of lecture and atwo hour computational laboratory. The course begins by introducing students to one-dimensionalsingle degree of freedom problems. We present theory for solving axial displacement & temper-ature problems. In addition, the course provides practice with two and three dimensional models,incorporating
positive.Reference1. Clark, W. and DiBiasio, D. (2007). Computer simulation of laboratory experiments for enhanced learning. ASEE Annual Conference and Exposition. Honolulu, Hawaii, June 24-27.2. Chapra, S. and Canale, R., 2014, Numerical methods for engineers, 6th edition, McGraw-Hill Higher Education.3. Richard G Budynas and J Keith Nisbett, 2015, Shigley's Mechanical Engineering Design, 10th edition, McGraw-Hill Higher Education.4. Moazed, A.R., Roberts, R., Le, X. and Duva A., 2010, Teaching finite element analysis in undergraduate technology curriculum. ASEE Northeast Section Conference, Wentworth Institute of Technology, Boston, MA, May 7-85. Brown, A., Rencis, J.J., Jensen, D., et al, (2008). Finite element learning modules for
, mechanics of materials, calculus, and kinematics and dynamic. She has also developed undergraduate fluids laboratories and supervised many capstone projects. Her interest in SoTL is evidence-based teaching strategies, student engagement, faculty development, and teaching and learning communities. Dr. Yan is a registered P.Eng. with APEGBC and has served as reviewer for various international journals. c American Society for Engineering Education, 2016 Online homework assignments: instructor’s perspective and students’ responsesIntroductionWith the continuous development of technologies, creating online homework assignmentsbecomes possible. For large classes, online
recordedthroughout each semester were also considered. These grades were given by a group of peermentors responsible for helping to administer laboratory activities and grading logbooks. Somementors participated in the role for multiple semesters and were thus more experienced atassigning logbook grades, but there was additionally some turn-over each semester. Each of thethree or four mid-semester gradings focused both on quality of work (e.g., appropriate content,content clarity, and organization) and on general logbook proficiency (e.g., regular entries,quantity of documentation, and adequate reflection), and to a lesser degree on contentcorrectness. Since the logbook grades were performed by peers rather than experiencedengineering professors, lesser
Paper ID #11842A Demo Every Day: Bringing Fluid Mechanics to LifeDr. Laura A Garrison, York College of Pennsylvania Dr. Laura Garrison received her B.S. in Mechanical Engineering from the University of Texas and her M.S. in Operations Research from Stanford University. She then worked for AT&T Bell Laboratories and AT&T Federal Systems before deciding to pursue her Ph.D. in Bioengineering at Penn State University in the area of experimental fluid mechanics associated with the artificial heart. After graduating, she worked at Voith Hydro for five years in the area of Computational Fluid Mechanics. For the last
Engineering (ONU 1997).Dr. John-David S Yoder, Ohio Northern University John-David Yoder received his degrees (B.S., M.S, and Ph.D.) in mechanical engineering from the Univer- sity of Notre Dame. He is Professor and Chair of the mechanical engineering at Ohio Northern University, Ada, OH. He has previously served as Proposal Engineer and Proposal Engineering Supervisor at Grob System, Inc. and Software Engineer at Shaum Manufacturing, Inc. He has held a number of leadership and advisory positions in various entrepreneurial ventures. He is currently a KEEN (Kern Entrepreneurial Ed- ucation Network) Fellow, and has served as a Faculty Fellow at the Jet Propulsion Laboratory, Pasadena, CA and an Invited Professor at INRIA
requiring major changes to the curriculum. Theprogram employs a unique funding model that addresses some of the challenges identified by theASME 2030 vision including insufficient funding and faculty buy-in9. Each project is internallyfunded by the office of undergraduate studies. CI projects are awarded $300 for each student onthe team with a semester maximum of $2000 per team. This funding model provides anincentive for faculty to become involved as it allows for the purchase of research supplies, travelexpenses, student training, and even faculty professional development. The program encouragesfaculty to explore new topics or areas of research, set-up laboratory experiments and equipment,and utilize undergraduate students to expand viable
the Robotics laboratory at Indian Institute of Science, Bangalore, India. He worked as a post-doc at University of Pennsylvania in the area of Haptics and Virtual Reality. His research interests are in the areas of unmanned vehicles particularly flapping flight, mechatronics, robotics, MEMS, virtual reality and haptics, and teaching with technology. He has ongoing research in flapping flight, Frisbee flight dynamics, lift in porous material and brain injury He is an active member of ASEE and ASME and reviewer for several ASME, IEEE and ASEE, FIE conferences and journals. c American Society for Engineering Education, 2016 Integrated Development of Programming Skills using MATLAB
Professor in Mechanical Engineering and director of the Human Dynamics Laboratory at the University of Denver and Clinical Assistant Professor at the University of Colorado Anschutz Medical Campus. He holds a BS in civil engineering from Tennessee Tech, an MS in engineering mechanics from Virginia Tech, and a PhD in biomedical engineering from the Virginia Tech–Wake Forest School of Biomedical Engineering and Sciences. His research focuses on understand- ing and characterizing human movement across healthy and pathologic populations through in vivo exper- imental measurement and musculoskeletal modeling. Applications focus on fall prevention, spine stabil- ity, rehabilitation after total joint surgery, and muscle
drawings)prior to formal instruction within the lab period. In addition, their individual bilge pump hasbeen partially fabricated, so they have been exposed to concepts such as tolerance, readingdrawings, the selection of the appropriate drill size to properly tap a hole, and the basic use of amill, lathe and drill press for fabrication of aluminum components. They practice removingmaterial on the lathe at 1 mil, 2 mil, and up to 5 mil at a time to visually experience what thatlooks like. They keep notes on the provided bilge pump drawings as to changes that they wouldmake to improve the drawings.The students then take a break from machining during the laboratory period, as outlined in Table1, and learn to create their bilge pump in SolidWorks
Paper ID #29327Project-based smart systems module for early-stage mechanicalengineering studentsJennifer Lynne Tennison, Saint Louis UniversityDr. Jenna L Gorlewicz, Saint Louis University, Parks College of Eng. Jenna L. Gorlewicz received her B.S. in mechanical engineering from Southern Illinois University Ed- wardsville in 2008, before pursuing her PhD in mechanical engineering at Vanderbilt University, where she worked in the Medical and Electromechanical Design (MED) Laboratory. At Vanderbilt, she was a National Science Foundation Fellow and a Vanderbilt Educational Research fellow. As an Assistant Pro- fessor in
completion of projects and presentations of results to improve the learning quality of the corresponding course work as well as to promote the presentation of technical skills. The first part of the course had a set of laboratory activities and the last 6-weeks required the completion of a project. During the final presentations, a faculty member was invited to observe the results of the students [4].This paper seeks to help students learn in a project-oriented environment that will allow them todevelop important skills to engineering, such as rapid prototyping, system integration,troubleshooting software and hardware, and time management. Using mechatronics as a medium,a vast array of work can be completed
using different methods. This concept studies both linear and angular displacement, velocity, and acceleration of the connected rigid bodies. • Synthesis of the mechanism to follow certain motion criteria.Moreover, some of the other skills that students gained during this experiential learning activitywere: • Prototype simulation using commercial software ADAMS (Automated Dynamic Analysis of Mechanical Systems) to obtain the motion variables • Motion simulation and modeling of the prototype by writing a code in MATLAB (Matrix Laboratory) based on the theoretical equations learned throughout the term • Laser-cutting experience by fabricating the mechanism, which is in-line with the results of analyses and simulations • Soft skills