dividedbetween 14 sections of the class. Each section of the course has 120 students as the maximumenrollment, and most sections begin the semester at class capacity.The course has a faculty coordinator and a team of instructional support staff to help keep thesections aligned, coordinate common exams, and maintain the course blackboard site. There aretwo classrooms used to teach, a studio classroom, where there are laptop computers available forevery other student (60 computers supplied), and a laboratory setting where there are 120 laptopsavailable. Students may also bring their own laptops, which enable the class to be taught in the Page
for 2004 UNI Book and Supply Outstanding Teaching Award, March 2004, and nominated for 2006, and 2007 Russ Nielson Service Awards, UNI. Dr. Pecen is an Engineering Tech- nology Editor of American Journal of Undergraduate Research (AJUR). He has been serving as a re- viewer on the IEEE Transactions on Electronics Packaging Manufacturing since 2001. Dr. Pecen has served on ASEE Engineering Technology Division (ETD) in Annual ASEE Conferences as a reviewer, session moderator, and co-moderator since 2002. He served as a Chair-Elect on ASEE ECC Division in 2011. He also served as a program chair on ASEE ECCD in 2010. He is also serving on advisory boards of International Sustainable World Project Olympiad (isweep.org
AC 2010-1101: RESEARCH EXPERIENCE FOR TEACHERS SITE: APROFESSIONAL DEVELOPMENT PROJECT FOR TEACHERSVikram Kapila, Polytechnic University VIKRAM KAPILA is an Associate Professor of Mechanical Engineering at Polytechnic Institute of NYU, Brooklyn, NY, where he directs an NSF funded Web-Enabled Mechatronics and Process Control Remote Laboratory, an NSF funded Research Experience for Teachers Site in Mechatronics, and an NSF funded GK-12 Fellows project. He has held visiting positions with the Air Force Research Laboratories in Dayton, OH. His research interests are in cooperative control; distributed spacecraft formation control; linear/nonlinear control with applications to robust control
presented. The CAD projects vary widely, e.g. as characterized by the geometric features present in the parts,assembly structure, number of parts in the assembly, overall complexity, physical scale, industry represented, inaddition to coloring and other presentation and viewing issues. The primary purpose of this effort is to elegantlyshowcase the body of quality work generated in a relatively compact manner to permit an enjoyable perusal andreflection that may be of use to others teaching future CAD courses or others, such as students interested in CADwork in a BSME program. In addition, one can see the natural evolution of the course since it was first taught overthe past 3 ½ years. The projects demonstrate the application of CAD knowledge
called tasks compete for precious processor operating time of a singleprocessor. The processor must prioritize tasks depending on system requirements toensure that all tasks complete their required activities. Due to its complex nature, aRTOS is a difficult subject to teach in undergraduate institutions. Often it is difficult forthe students to visualize the intricacies and inter-relationships between component partsof the system To help students to ‘see’ the operations, we have developed a visualhardware simulator that interfaces to an embedded controller. In our application, we usethe popular Motorola HCS12 microprocessor as the simulator’s host system. Thesimulator can be easily interfaced with other processor families. The simulator
: ExploringEngineering and Engineering Communications. Exploring Engineering I & II, each have twocomponents: (1) a one-hour lecture section that meets twice a week, and (2) a one and one-halfhour laboratory section that meets once a week. The lecture section is one for which all thestudents are registered while the laboratory component is split into classes of twenty-fivestudents or fewer. In Exploring Engineering I, the fall semester iteration of this course,attendance is mandatory. However, in Exploring Engineering II students have been given theoption of viewing the recorded lecture, rather than being physically present when the lecture isgiven. Attendance is taken in the lecture with an iClicker™. Students, who choose not to attendthe lecture, access
for degrees inElectronic Technology; Fundamentals of Digital Logic is required in several other programs; allthree courses are available as electives in Engineering Science and are highly recommended forstudents in Computer Engineering.Prior to the fall, 2004 semester, Fundamentals of Digital Logic included an introduction to digitallogic design using Karnaugh maps, yet the accompanying Digital Logic Lab did not includelogic design. Also prior to fall, 2004 in the laboratory portion of Digital Electronics, there weresome labs where Karnaugh maps were used to design simplified circuits (limited to 4 inputvariables) which were then built with TTL logic chips.Fundamentals of Digital LogicFundamentals of Digital Logic covers Boolean algebra
education to address this need. Hardware to accomplish this goal has been in existence for several decades, though onlysince 1993 has it seen applications in education [4]. Educational advances have increased sincethat time, albeit slowly. Important advances include Christopher Dede’s application ofvisualization hardware to general scientific concepts [5], and the teaching of electromagnetics inparticular with the well-known MaxwellWorld [6]. Other applications include education ofelementary school students in basic zoological concepts at Georgia Tech [7, 8], the NICE projectfor elementary education at the University of Illinois at Chicago [9]-[11], and engineeringeducation research at East Carolina University [12]. This paper
their suggestions withthe result that its accreditation criteria requires programs to implement, utilize, and documentimprovements as a result of a CQI program.Academic departments are required to produce results in several different but complementaryareas. Activities are categorized in three broad areas of teaching, scholarly, and service. ABETcriteria is focused on the academic area of the departments in undergraduate programs. However,departments must also engage in other activities that must also be included in a total qualityimprovement (TQI) system. Those activities include responsibilities such as administrativeactivities, graduate programs, faculty development and retention, staff development, advising,student recruiting, research
sophomoreengineering undergraduates at Boston University. The program enables engineeringundergraduates to incorporate a study abroad experience in their undergraduate degree programswhile continuing to make normal progress toward their degrees. Prior exposure or facility withGerman is not expected before starting the program, but students must participate in an intensiveGerman-language course while in Dresden. The TUD was chosen as a partner in developing thisprogram because Boston University already had a small program and a resident directorestablished at this site. In addition, the TUD had appropriate faculty and laboratory facilitiesavailable to teach the requisite science and engineering courses in English. While in Dresden,students take three of four
as reflected in the statement, “Theobjective of the analysis was to ascertain what is required for learners to reach deepunderstanding, to determine what leads to effective teaching, and to evaluate the conditions thatlead to supportive environments for teaching and learning”. Specifically, important for thisproject was their resource on concepts such as learning with understanding, conceptualreorganization, organization of knowledge, transfer and application of knowledge to newsituations, and problem solving. Anderson and Krathwohl’s contributions in the recreation ofBloom’s taxonomy provided dimensions for emphasis in factual, conceptual, procedure, andmeta-cognitive knowledge areas matched against the cognitive process dimensions
activities were developed that incorporated the “Circuits Solver” module as a means tointroduce students to the application of mesh analysis and Kirchoff’s voltage law to solve circuits.In the fall of 2001, electrical network analysis classes at UTD had both EE andTelecommunications Engineering (TE) students who were each surveyed as to the benefit of themodules and technologies. Each semester a teaching assistant was assigned to support the facultyand assist the students in using the ILMs or explaining other concepts. Two graduate students rewrote the accompanying laboratory manual during the summer of2001 to insure that the principles exemplified by the modules could be easily integrated into thelaboratory sessions. Although Spring 2000
contentsof the educational sessions, outside readings, and recommended homework and projectassignments are described in this presentation. Also discussed is the use of pre- and post-testing, and the use of an skilled teaching-effectiveness-and-innovation observer, to evaluate theeffectiveness of, and make enhancements to, the CM instructional sessions and materials.I. IntroductionConfiguration management is a significant concern for any manufacturer. As a typical productprogresses from prototype design to initial unit manufacture and then through the later stages inits life cycle, the number of changes made to that product in terms of refinements to componentparts, part suppliers used, assembly methods employed, testing protocols applied
solving many engineering problems. Is the teaching of engineering computationalmethods relevant in the 21st century? The author presumes that computational methods must betaught. The tendency to over value outputs of engineering software is real. Due diligence indeveloping inputs and associated alternatives must be learned. Students who have experience incalculations are able to recognize “garbage” occurring with commercially available designprogram input errors. Students will make increasing use of spreadsheets and equation processing Page 6.322.3 Proceedings of the 2001 American Society for Engineering Education Annual Conference &
standards. A team must accomplish such aprocess. The other two “Educational Processes”, course teaching and graduate researchsupervision, are generally individual activities though some benefit may be realized fromteamwork.The “Educational Resources” function is related to non-personnel resources that an academicdepartment acquires and maintains primarily for instructional purposes. Decisions regardingcomputing equipment, laboratory equipment, software, and textbooks for use in courses must beby teams. Individual faculty members normally make recommendations on library resources.Implied in the “Faculty/Department Development” function is the enhancing of the credentials ofindividual faculty as well as the department. Accreditation preparation, and
activities of the SLOPE program provide the following services to the local community:(i) Improved awareness of Physics/Engineering education and its objectives and impact on Page 5.549.2 the Eastern Shore Community and high school students.(ii) Student projects in partnerships with local community service organizations.(iii) Development of teaching aids for classes and laboratories in local schools.“Service-Learning” has been introduced in selected Engineering and Physics courses. Thestandard format involving preparation, action and reflection have been incorporated 11. Studentprojects that address community needs that dovetail with the
AC 2011-1971: RECONFIGURABLE AND SCALABLE AUTOMATED SYS-TEMS PROJECTS FOR MANUFACTURING AUTOMATION AND CON-TROL EDUCATIONSheng-Jen Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a Professor in the Dwight Look College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the De- partment of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano man- ufacturing. He is also the Director of the Rockwell Automation Laboratory at Texas A&M University, a state-of-the-art facility for education and
Excellence in Science and Technology (CREST). Dr. Mead also maintains an active laboratory group that develops laser systems for optical sensing and LIDAR applications. Dr. Mead has previously served as Senior Program Officer at the National Academy of Engineering and served as study director for the pivotal report, Engineering of 2020: Visions of Engineering in the New Century.Dr. Gwen Lee-Thomas, Quality Measures, LLC Gwen Lee-Thomas has been an external consultant for over 12 years serving businesses as well as private and public colleges and universities in the state of Washington, California, Florida, Indiana, Illinois, Nebraska and Virginia in diversity, STEM education, organizational culture, and leadership strategies
AC 2012-3546: TEMPLATE-BASED IMAGE PROCESSING TOOLKIT FORANDROID PHONESMrs. Santosh Chandana Golagani, University of Texas, San AntonioMr. Moosa Esfahanian, University of Texas, San AntonioDr. David Akopian, University of Texas, San Antonio David Akopian is an Associate Professor at the University of Texas, San Antonio (UTSA). He joined the UTSA in 2003 where he founded the Software Communication and Navigation Systems Laboratory. He received the M.Sc. degree in radio-electronics from the Moscow Institute of Physics and Technology in 1987 and Ph.D. degree in electrical engineering from the Tampere University of Technology (TUT), Fin- land, in 1997. From 1999 to 2003, he was a Senior Engineer and Specialist with Nokia
should do better on the tests.This indeed happens as shown in the next section. But if homework problems are alleasy to ensure success, students may not be successful when faced with more difficulttest problems. One solution to this dilemma is to start the assignment with relatively easyproblems and work up to problems that are more difficult than any test problem. Thesedifficult problems can appropriately challenge the better students in the class.Essential to effective teaching is feedback, and two types are necessary for homeworkassignments. Students need a chance to study a correct solution, whether discussed inclass, posted on the web or on a bulletin board, copied and passed out to students, orplaced on reserve in the library. Correct
Khanna is an Associate Professor of Mechanical and Aerospace Engineering at University of Missouri –Columbia. He received his B.S. and M.S. from Indian Institute of Technology, Kanpur, India, and Ph.D. fromUniversity of Rhode Island, Kingston. His teaching and research interests are in solid mechanics, experimentalmechanics, welding engineering, composite materials, fracture mechanics, and design.CHRISTOPHER H. M. JENKINSDr. Chris Jenkins, P.E., teaches and conducts research in the areas of continuum mechanics, computational andexperimental mechanics, mechanical design, and structural dynamics. He is the founder and director of theCompliant Structures Laboratory at South Dakota School of Mines and Technology, where he is Professor ofMechanical
, number of courses with technical laboratories, sharing of faculty and spacewith other programs, and effectiveness of industrial advisory committees are provided in thefollowing paragraphs. Tables of the results from questions in the survey are also providedthroughout the paper.Of all the four-year schools that responded to the survey, 79% are classified as four-yearUniversities with very a small number responding as Community & Technical Colleges,Technical Institutes, Institutes of Technology, or Colleges as shown in Table 1. Table 2illustrates the responses of two-year schools to a similar classification question, which resulted in67% classified as two-year Community Colleges, 18% as Technical Institutes, and 13% asCommunity & Technical
. Page 3.186.3 3 Each of the three-member design teams was assigned one of the following five principal phases:1. Power conversion and distribution system2. Vehicle Propulsion3. Mower Drive and position4. Vehicle steering and blade actuation5. Hydraulically powered accessories The coordination of various subsystem interfaces on the vehicle was essential in order for allsystems to operate efficiently and safely. In the photo Fig. 1, a typical systems coordination tookplace in a laboratory session. The responsibilities of each of the teams included, but were notrestricted to, the functional tasks implied by the title of the team. All teams have at their disposal the computer-based electronic catalogs
Paper ID #42772Differences in Attitudes and Self-efficacy Toward Programming of Studentsin Mechanical and Industrial Engineering ProgramsXinyi Ma, University of Toronto Xinyi Ma is a graduate student researcher at University of Toronto in the Department of Mechanical and Industrial Engineering, supervised by Prof. Janet Lam. Her research interest is student experience in engineering education. Xinyi holds an Honours Bachelor of Science in Statistics with a minor in Computer Science from University of Toronto.Janet Lam, University of Toronto Janet Lam is an Assistant Professor, Teaching Stream in operations research
, laboratory experiences,research based upon appropriate professional literature, and communication skilldevelopment (both written and oral). Teams within the Department configured unique courses to fit the guidelines. Bothcourses have evolved through time with feedback from both instructors and students.Accordingly, more discrete skills sets were refined and delivered. The net result is atandem of courses that engage and expand student awareness about the engineeringaspects of their world.Call to ArmsIn 2005, the General Education Program at Temple University challenged the many collegeson campus to create a new series of general education courses to expand the offerings for 91students and enhance
Open-Ended Design Project as Introduction to Design for Civil Engineering Freshmen. Bert Davy, Indranil Goswami, Jiang Li, Gbekeloluwa Oguntimein, Charles Oluokun, Arcadio Sincero. Department of Civil Engineering, Morgan State University, Baltimore, MD 21251.AbstractA freshman design course - CEGR 105 Introduction to Civil Engineering - was designed anddelivered as part of the effort for ‘early introduction of design into the engineering curriculum’.The course is a second semester orientation course that follows a broader first semester coursecalled ORIE 104 Orientation to Engineering.With a team-teaching
AC 2011-2742: ARCHITECTURAL ENGINEERING CURRICULUM: IN-TEGRATION OF ARCHITECTURE AND ARCHITECTURAL ENGINEER-INGAhmed Cherif Megri, University of Wyoming Dr. Ahmed Cherif Megri, associate professor of architectural engineering at the University of Wyoming (UW), teaches several HVAC and energy courses. Dr. Megri is also teaching a course titled ”Compre- hensive Performance of Building Envelope and HVAC Systems” for Summer School at UW, and ”Smoke and Fire Dynamics” during summer session at Concordia University, Canada. His research areas include airflow modeling, zonal modeling, energy modeling, and artificial intelligence modeling using the support vector machine learning approach. Prior to his actual position at UW
. D. in Applied Mathematics with Systems Engineering emphasis in 1977, served as Chair forFreshman Programs and DELOS Divisions, and runs the Toying With TechnologySM Program at Iowa State.CELESTE E. OGRENis a junior in elementary education from Marcus, Iowa. She works in the Toying With TechnologySM Laboratory asan undergraduate teaching/laboratory assistant. Her interests include integrating engineering and technologyconcepts into the elementary education curriculum and helping preservice teachers become more aware of theopportunities available to incorporate these important subject areas into their every day curriculum. Page
Selection of Processor, Language, and Labs in Introductory Microprocessor/Microcontroller Courses Harold L. Broberg, Elizabeth Thompson Indiana University-Purdue University Fort WayneAbstract:The hardware and software used in introductory microprocessor/microcontroller coursesin electrical and computer engineering (ECE) and in electrical and computer engineeringtechnology (ECET) curricula is of general interest to faculty in these disciplines.Information on processors, languages, and laboratories used in teaching fifteen ECE andeleven ECET courses was collected using university/college syllabi and other materialavailable via the Internet. The choices made are presented in
Tech, covering introductory digital signal processing (DSP) and real-time programming. The target audience for this course is electrical engineers with Bachelor’s orMaster’s degrees who are working in industry with little or no knowledge of DSP and some workexperience with micro-processors and the C programming language. During the course, studentsare assigned several lab exercises to explore different aspects of DSP and the particular processorbeing used. Lecture material on DSP theory is delivered in the form of streaming video andslides on a CD-ROM. Online quizzes are given to test student comprehension of lecture materialand laboratory concepts. A staff of teaching assistants was hired to provide support for students.In order to provide an