Teaching Strategies in a Laboratory Exercise. Advances in Physiology Education. 2012; 36: 147-53.6. Hibbeler RC. Engineering Mechanics: Statics & Dynamics 13 editon. 13 ed. Upper Saddle River, New Jersey: Pearson Prentice Hall, 2013. Page 26.849.6
the circuit with PSpice.4. Using the oscilloscope and the trigger single function measure and record the transient phenomenon of voltage build-up across the capacitor. Be sure to include a printout of the data captured from the scope in your laboratory notebook. Use cursors and scope measurements and displays to experimentally extract all relevant parameters.5. Compare your experimental results with your calculations and discuss errors or discrepancies.Most students performing these tasks for the prelab come with an analytic solution that matches Page 26.136.2their PSpice simulation; both indicate that the system response is heavily
resolve these conflicts. This paper discusses the plans to begin a systemicspread of constructivist methodologies in all the engineering schools in Puerto Rico. This initialeffort specifically addresses courses in electrical circuits and electronic instrumentation. TheAnalog Discovery Board, essentially a circuits laboratory that fits in the palm of one’s hand, willbe used as the medium to explore the course concepts. The primary means for diffusion will Page 26.83.2consist of two NSF-funded faculty workshops in Puerto Rico designed and led by two of theauthors who have ample experience with the device and with these methodologies, including
: Page 26.84.10 Figure 7. CS MOSFET Amplifier – Multisim SimulationAvsim = -Vo / Vi = -3.54Vp / 49mVp = -72A good bit higher than our design goal of -50! Page 26.84.11Design VerificationWhen the circuit was prototyped in the laboratory it resulted in an actual output seen in Figure 8below. Figure 8. CS MOSFET Amplifier – Actual OutputNow the actual gain may be calculated:Avact = -Vo / Vi = -3.98Vp-p / 103mVp-p = -39A bit lower than -50. Page 26.84.12AnalysisIt is apparent that the Multisim simulation and the actual prototype demonstrate
programming, weexcluded them from the analysis. This resulted in a total of 29 freshmen in the control group and22 students in the test group. Table 2. Summary of schedules Week Control group (C only) Treatment group (CFL + C) 1 Intro to Computers, Prep for laboratory Intro to Computers, CFL basics, (incl. Linux and vim) operations, I/O 2 Beginning C programming CFL conditional, for loop 3 Integers and I/O CFL arrays, functions and recursion 4 conditionals CFL graphics and game project 5 while/for loops Linux and vim, Integers
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 Engineering Technology, Prairie View A&M University, Prairie View, TX. 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
runs for thirteen weeks,and includes both a lecture and laboratory component. It was chosen as the initial situation fortesting due to the flexible project environment and the heavy emphasis on design.In 2012, ENGG 200 students were asked to create a computer game as one of their multi-weekdesign projects. Students were asked to choose a client market, and then to justify their resultingdesign specifications, decisions, and game mechanics for the target audience. Few restrictionswere built into the project, allowing teams to exercise as much creativity as possible. A freegame creation platform was suggested and made available, but students were free to use anysoftware or environment they preferred. The development process lasted several weeks
on the Status of Women at Purdue in recognition of outstanding efforts on behalf of women (2007). In 2008, he received the ASME Johnson and Johnson Consumer Companies Medal, for his ”unwavering commitment to diversity”.Dr. Daniel Lopresti, Lehigh University Daniel Lopresti received his bachelor’s degree from Dartmouth in 1982 and his Ph.D. in computer science from Princeton in 1987. After completing his doctorate, he joined the Department of Computer Science at Brown and taught courses ranging from VLSI design to computational aspects of molecular biology and conducted research in parallel computing and VLSI CAD. He went on to help found the Matsushita Information Technology Laboratory in Princeton, and later also
Engineering Teacher, pp. 30-35, May 2014.[2] International Technology Education Association, “Standards for Technological Literacy: Content for the Study of Technology,” 3rd ed., 2007. [Online]. Available: http://www.iteea.org/TAA/PDFs/xstnd.pdf. [Accessed: 01- Apr-2015].[3] D. Sianez, M. Fugere, and C. Lennon, “Technology and Engineering Education Students’ Perceptions of Hands-On and Hands-Off Activities,” Research in Science & Technological Education, vol. 28, no. 3, pp. 291- 299, Nov. 2010.[4] M. Milojkovic, M. Milovanovic, D. Mitic, S. Peric, M. Spasic, and S. Nikolic, “Laboratory CNC Machine for Education of Students on Control Systems Engineering,” Facta Universitatis, vol. 13, no. 2, pp. 117-125, 2014.[5] D. Rijmenants
Technology in 1989. Dr. Woehr served on the faculty of the Psychology Department in the I/O Psychology program at Texas A&M University from 1988 to 1999 and as a Professor of Man- agement at the University of Tennessee from 1999 to 2011. He has also served as a Visiting Scientist to the Air Force Human Resource Laboratory and as a consultant to private industry. Dr. Woehr is a fellow of the Society for Industrial and Organizational Psychology (SIOP), the American Psychological Associa- tion (APA), and the Association for Psychological Science (APS). His research on managerial assessment centers, job performance measurement, work related attitudes and behavior, training development, and quantitative methods has
as a Professor of Man- agement at the University of Tennessee from 1999 to 2011. He has also served as a Visiting Scientist to the Air Force Human Resource Laboratory and as a consultant to private industry. Dr. Woehr is a fellow of the Society for Industrial and Organizational Psychology (SIOP), the American Psychological Associa- tion (APA), and the Association for Psychological Science (APS). His research on managerial assessment centers, job performance measurement, work related attitudes and behavior, training development, and quantitative methods has appeared in a variety of books, journals, as papers presented at professional meetings, and as technical reports. Dr. Woehr currently serves as editor for Human
use of these policies by faculty members. However, to provide quantifiableresults, two survey instruments were developed to collect relevant data and feedback fromfaculty and students across the campus. RLC members volunteered to promote the surveyamong their faculty, and registration staff helped broadcast the survey among the students. Thesurvey questions used are listed below in Tables 1 and 2. Table 1: Faculty survey questionnaire (89 responses) 1 Which school are you in? 2 For a 1000 level lecture course, do you enforce attendance policy in your class? (excluding laboratory/studio courses) 3 For the above 1000 level course, do you have an attendance policy written in your syllabus? 4 For the above 1000
laboratory development, antennas, wireless communica- tions, signal processing, and instrumentation.Dr. Richard J. Hartnett P.E., U.S. Coast Guard Academy Richard J. Hartnett is a professor of electrical engineering at the U.S. Coast Guard Academy in New London, CT. He received his B.S.E.E. degree from the U.S. Coast Guard Academy, his M.S.E.E. degree from Purdue University, and his Ph.D. in EE from the University of Rhode Island. He is a registered Professional Engineer in the State of Connecticut, and his research interests include efficient digital fil- tering methods, improved receiver signal processing techniques for electronic navigation systems, and autonomous vehicle design
Technology Mingyu Lu received the B.S. and M.S. degrees in electrical engineering from Tsinghua University, Bei- jing, China, in 1995 and 1997 respectively, and the Ph.D. degree in electrical engineering from the Uni- versity of Illinois at Urbana-Champaign in 2002. From 1997 to 2002, he was a research assistant at the Department of Electrical and Computer Engineering in the University of Illinois at Urbana-Champaign. From 2002 to 2005, he was a postdoctoral research associate at the Electromagnetics Laboratory in the University of Illinois at Urbana-Champaign. He was an assistant professor with the Department of Elec- trical Engineering, the University of Texas at Arlington from 2005 to 2012. He joined the Department
times a week. It now uses a 2+2 format: two days of lecture per week,with each lecture day followed by laboratory time to facilitate material understanding by hands-on practice. Approximately 120 students attend a one-hour lecture in an auditorium. Thefollowing day, students attend a small lab session, usually 26 students, to allow more contactwith each student while s/he practices. There has been concern voiced regarding large lectureswith respect to attendance rates, effectiveness of large lecture instruction, and connectivitybetween the instructor and students15. To provide a more flexible learning environment and improve student learningoutcomes16-18, a blended learning approach was adopted in 2010 by approximately half of theEGR115
lecture topics. Because of the large class, individual oralproject presentations were not scheduled in the interest of time. A project of this magnitude wasa big challenge for students. The students got access to all the facilities and resources of theuniversity. There was a dissection laboratory which was equipped with power tools, hand tools,and measurement devices. In addition, the facilities of the Engineering Machine Shop wereaccessible for difficult disassembly and assembly tasks.MATERIALS SCIENCE PERSPECTIVESThe work reported here addressed the material selection aspect associated with each individualproduct that was reverse engineered. This provided the material science perspectives of theproduct archaeology. Typically this originated in
. For each half bridge circuit, the students again take measurements ofthree different weights. This process is repeated once more for a full bridge circuit using all fourstrain gauges.The final part of the lab requires the students to choose one of the bridge setups (quarter, half, orfull) to measure an unknown weight. At least four known calibration weights are used to create acalibration curve relating weight and strain as measured by their chosen Wheatstone bridgesetup. They then choose some object that they want to weigh, which can be a textbook, abackpack, or even a fellow classmate. This object is weighed on their ‘scale’ – the instrumentedaluminum beam – and then weighed on a calibrated laboratory scale to get the reference value.This
showing that on average, women with Page 26.327.6a science or engineering degree, employed full-time in STEM, earned $75,100.16 On average,men of the same status earned $91,000, a difference of almost $16,000. In 1999, MIT conducteda study on women faculty in their life science departments and found resource discriminationsuch as differences in salary, laboratory size, funding, award nominations, and startuppackages.37 In regards to academic commercialization, according to Murray,40 faculty are ofteninvited to engage in this type of activity by former students involved in entrepreneurship. Thereis some evidence to show that resource discrimination
-mentoring. Incorporation of engineering design experiences across the undergraduatecurriculum with linkages to the university’s engineering innovation laboratory for access toindustry projects contributes to increased student retention and persistence to graduation.CASCADE uses promising practices from research to create a retention program that includesintegrated curriculum, peer-mentoring, learning communities, and efforts that build innovationand creativity into the engineering curriculum. CASCADE vertically aligns 32 problem-baseddesign efforts from the first-year to senior-year (capstone) courses. Research on engineeringstudent learning communities indicates increased retention and student satisfaction with theirfirst-year experience 18, 33
Laplace transform applications.Enrollment in the DSP course in our school has increased over the years despite the fact that, bynature, these subjects are considered by many students to be highly theoretical and with difficultconcepts to understand. We have tried to include many MATLAB/MATHCAD examplesthroughout our lectures so that students are not bored with mathematical details. This semesterwe are trying a software laboratory component for the DSP course. More examples and studentsatisfaction results will be presented at the Annual Conference. Page 26.385.8 REFERENCES[1]. “Fundamentals of Electric Circuits
staff LASER (Leadership & Assistance for Science Education Reform) is a Washington statewideeffort co-led by Pacific Science Center and Pacific Northwest National Laboratory (operated byBattelle) in partnership with the Office of Superintendent of Public Instruction (OSPI). For 15years, LASER has catalyzed and supported sustainable innovation and improvement in K-12science education. LASER is accomplishing two goals: 1) to facilitate the successful adoption ofthe Next Generation Science Standards (NGSS) across Washington state through professionaldevelopment and a science/engineering notebook tool to integrate NGSS and Common CoreState Standards (CCSS); and 2) to build leadership capacity for high quality STEM education inWashington
President for Research and Development at Smith & Nephew PLC, a global provider of orthopedic and otolaryngology implants. He began his engineering career at The Johns Hopkins University Applied Physics Laboratory after serving with the U.S. Army 11th Armored Cavalry Regiment in Europe. Professor Jamison received the B.S. and Ph.D. degrees in Engineering Science and Mechanics and Ma- terials Science Engineering respectively from Virginia Tech and the M.S. degree in Engineering Physics from the University of Virginia. He was Senior Research Fellow at the University of Bath, UK. He lives in Richmond, Virginia
. Rappaport (2002) Wireless Communications - Principles and Practice. Prentice Hall2. Cisco Systems (2012) Challenges of unlicensed Wi-Fi deployments: A practical guides tocable operators. Cisco Systems3. Carr, J.; Frank B. (2007) Active learning using guided projects in an upper year ECE course.Presented at 2007 ASEE Annual Conference4. Border, D. (2012) Developing and designing undergraduate laboratory wireless sensornetwork. Presented at 2012 ASEE Annual Conference5. Crilly, B (2013). A novel approach to teaching an undergraduate electromagnetics, antennaand propagation course. Presented at 2013 ASEE Northeast Section Conference Spring 2015 Mid-Atlantic ASEE Conference, April 10-11, 2015 Villanova University
they would order would be in perfect condition, and backups would not be necessary. Thestudents also did not include a possible substitute if one of their items could not be ordered.These assumptions made it harder for the buyer, and also increased the chance of disappointmentwhen their order was not met.In our after-action follow-ups with each team, the primary walkaway was that imperfect sourcingwastes time and causes frustration by both requestor and clerk. In some cases, lessons learnedfrom the earlier class led to success in this real-world buy.V. Laboratory ManagersStarting in January 2014, students have been employed as Lab Managers for an on-campusFusion Lab. The Fusion is a multidisciplinary lab run by the Astronautical
Navigation course where phased arrays areused to localize signals, indicates that students who did this experiment had better intuition and solidunderstanding about this subject than those who simply did simulations. It was especially gratifying toobserve their reactions when the perceived sound volume went from loud to almost complete silence withonly inches of movement. Thus we transformed an abstract set of equations into a sensory experience.While the 8-element array provides further confidence that the theory matched the experiment results, itwas much easier to perform the experiment using the 4-element array. This experiment will be integrated into the laboratory portion of the antennas course at the U.S. CoastGuard Academy where additional
additional risk to the laboratory network.This paper describes how we utilized the open source Linux distribution tool, Security Onion alongwith real malware and network traffic captures from publicly available sources to create achallenging and realistic set of hands-on cybersecurity labs. Security Onion is a Linux distributionthat is used for intrusion detection, network security monitoring, and log management. It containsa variety of network security monitoring tools and is used by many organizations to monitornetworks for intrusion. With its large number of pre-installed tools, Security Onion is an excellenttool to demonstrate network security monitoring concepts and provides students a hands-onexperience with application tools commonly used by
Medical, Health 10.0% 12CareMotor Industry 4.2% 5Music 5.0% 6Natural Resources and the 1.7% 2EnvironmentPolitics 0% 0Property Sales/Management 0% 0Religion 0% 0Sales, Retail and Buying 0% 0Scientific (e.g. laboratory 14.2% 17research, physics, etc
CAD sessions and the session material seeks to let the studentstest their knowledge in a practical manner. The course does not have a laboratory session attached tothe lectures, however as the instructor believes in the importance of hands-on experience using theCAD tools, the instructor added “CAD sessions”, which are separate from the in-class instruction andis dedicated to learning and working on the CAD tool. In the beginning of the course, the studentswere in the classroom for 3 hours of lectures a week. Later, the students were in the classroomfor 2 hours of lectures a week and were expected to spend 1 -1/2 hours per week outside theclassroom time on the software tools.The first CAD session, in the fourth week of the semester, was to
summative final assessment or exam, which is usedto help determine a grade. It is not used for feedback to improve student learning. Although themost common form of summative assessment is the final examination, some instructors structuretheir courses in units, and do a summative assessment after each unit. In that model, each unit ofthe course is essentially a self-contained mini-course.Midterm exams are frequently used for both summative and formative purposes. For example, ina course having two midterm exams and a final exam, the midterms may each be used todetermine ten to twenty percent of the final grade (while the final exam, laboratory scores,homework, and other items determine the remainder of the grade). This is the summativecomponent of
settings. Laboratory exercises offer students an immersive experience which arespecifically designed to encourage problem solving skills in a real-world environment. Wenotice that many of our freshmen students are unprepared for basic courses in circuits and C++programming. Consequently, they are very frustrated in this kind of setting and thus this situationpushes them to change their majors. We also observed that our students are very much motivated Proceedings of the 2015 American Society for Engineering Education Pacific Southwest Conference Copyright © 2015, American Society for Engineering Education 219by