Paper ID #8706Building Capacity for Preparing Teacher-Engineers for 21st Century Engi-neeringDr. Elsa Q. Villa, University of Texas, El Paso Elsa Q. Villa, Ph.D., is a research assistant professor at The University of Texas at El Paso (UTEP) in the College of Engineering and is Co-Director of the Center for Research in Engineering and Technology Education (CREaTE). Dr. Villa received her doctoral degree in curriculum and instruction from New Mexico State University; she received a Master of Science degree in Computer Science and a Master of Arts in Education from UTEP. She has led and co-led numerous grants from
AC 2012-4629: NETWORK-BASED DATA COLLECTION FOR A PROJECT-BASED FRESHMAN CLASSDr. Samuel Bogan Daniels, University of New Haven Dr. Daniels is an associate professor of mechanical engineering with more than 20 years of experience teaching laboratory classes. He also teaches in the multidisciplinary engineering foundation spiral cur- riculum at the University of New Haven. Research interests are in engineering education and renewable energy systems.Dr. Cheryl Q Li, University of New Haven Dr. Cheryl Qing Li joined University of New Haven in the fall of 2011, where she is a senior lecturer of the Industrial, System & Multidisciplinary Engineering Department. Dr. Li earned her first Ph.D. in Mechan- ical
methodologies. In this paper is the extended of ourlaboratory 4 in Linear Circuit course at the U.S. Coast Guard Academy.The current paper presents some of the successful design and compensation techniques from onelaboratory in a junior-level Linear Circuits class that reinforces student learning about finitegain-bandwidth product limitations. Students learn graphical technique in the classroom thatpredicts the impact of Gain-Bandwidth Product limitation of a µA741op-amp.In this lab, students are asked to design two Sallen-Key second order low pass sections, using aµA741op-amp, in order to meet two specific resonant frequencies. In their first design( f o = 72.3 kHz and Q = 2) , students typically fall short of the desired resonant frequency by15% or
) $2061 $2062 $2063 Figure 5. Memory utilization for FIR filter implementation.Each filter is implemented in a fixed-point format3-5 in which each data contains 15 bits formagnitude and 1 bit for sign bit (Q-15 format). The 2’s complement form is used for any Page 22.1384.6negative number. The designed FIR filter coefficients are quantized into 16 bits as following: b0 0.006 215 197 , b1 0.0493 215 1615
12.642.9principles etc., (b) videos on different major engineering projects of modern times, (c) field tripsto engineering industries, (d) application oriented problem solving on basic and intermediatemathematics as well as Statics, Electrical Circuits etc. and (e) laboratory experiments.During the fall 2006 semester, for the first time, students were asked to fill out a surveyquestionnaire in order to get a feedback about this new format of the course. The class consistedof only 10 students. There were 12 questions in all, 6 were about the course itself and 6 were onthe lab experiments. Results from these questions were shown in the following table. Table 1. Responses from the survey questions from fall 2006 semester Q 1) Which was most enjoyable
Method, a series of two equations must be used. First, the log mean temperature difference must be found using the equation below: ∆T1 − ∆T2 (1) ∆Tlm = ln(∆T1 / ∆T2 ) where ∆T1 is the temperature difference at the hot fluid inlet, and ∆T2 is the temperature difference at the hot fluid exit. Once this is found, the overall heat transfer coefficient, U, is found using the equation: Q&= U As ∆Tlm (2) where
H 2 (s) k2 G p ( s) ? ? q( s) (1 - sT1 )(1 - sT2 ) (1)where H2(s) is tank 2 level, q(s) is the flow rate into tank 1 (or the input flow), and the timeconstants T1 and T2 are related to k1, k2, and A by: A2 A(2k1 - k 2 ) T1T2 ? and T1 - T2
Entropy Figure 9. Simple Rankine Cycle T-s DiagramCycle Analysis:The thermodynamics efficiency is defined as: . . W turbine ,out / W pump ,int ϕ th ,Rankine ? . Q inwhere, . . . W turbine ,out ? m(h3 / h4
questions.Qualitative Data & ResultsPhase 1: Open-ended QuestionnairesPhase 1 of the qualitative data collection consisted of open-ended questionnaires that weredistributed at seven regional EWB-USA conferences in the fall of 2011. Participants were askedto answer the following questions in a corresponding colored box on a piece of paper shown inFigure 2: Q.1. How do you describe yourself? Q.2. How do you describe an engineer? Q.3. How do you describe an EWB-USA member? Q.4. What do you think an engineer needs to know? Q.5. What, if any, are the gaps in your engineering education? Q.6. What are your biggest gains from your experience with EWB-USA?Of the 505 respondents who answered these questions and
pressure and Blower Door fan flow readings. It's specialized "Baseline" and"CFM @50" features makes it extremely easy to get quick and accurate airtightness test results. Using adoor screen, a variable speed blower was used to change the airflow through the envelope and theelectronic monometer (DG-700) was used to record the pressure differentials and air-flow rates betweenthe room and the hallway.Air infiltration can be calculated using the power law equation where Q is the airflow rate, C is the flowcoefficient, ΔP is the pressure differential and n the power coefficient. Q C.P nThis equation shows how much air is leaked to the outside surrounding and how air infiltration varieswith respect to a
hydrogels for oral drug delivery. For this experiment, studentsprepare pH-responsive hydrogels based on p(MMA-EG) and characterize the network structureof the swollen hydrogel through mesh size modeling in different pH environments. Students canoptimize the hydrogel for oral drug delivery by varying its structure. They identify importantdesign variables, practice translating quantitative laboratory measurements into data used indesign evaluation, and learn aspects of polymer characterization, which can be applied to otherareas of material science and engineering.Mesh size is determined from correlations using existing tensile and experimental density data tocharacterize how the gels respond to pH variations.The swelling ratio, Q is found from
development.The air contained in the Fire Tube is a closed system where changes in potential and kineticenergy can be neglected. Thus, energy conservation requires: ߂ܷ ൌ ܳ – ܹ (1)Where U is the internal energy of the system, Q is energy transfer into the system via heattransfer, and W is energy transfer out via work. Talking point 1: Q and W are both energy transfer modes, but what fundamentally differentiates Q from W?For a closed system undergoing a compression, W would typically be determined with: ܹ௩ ൌ න ܸܲ݀ (2
readings. Black horizon- tal line segments are averages over time widows corresponding to steady state operation.Table 2: Sample steady-state results. The Q row is computed with Equations (1) and (2) using Vin = 12V and R = 5.4 Ω for heat sink E, and p values from the PWMheat row of this table. Values of Tave are obtained by averaging over the horizontal plateaus of the data in Figure 12. PWMheat 21 50 80 100 122 143 160 209 229 255 Q (W) 0.096 0.0548 1.40 2.19 3.26 4.48 5.61 9.62 11.5 14.3 Tave ◦C 24.2 29.0 34.0 37.6 41.0 44.5 47.8 56.1 59.5 63.5gives the data in Table 2. Note that the temperature data in Figure 12 was obtained by capturing theoutput from the
organized tocover the following topics: Series and parallel RLC circuits, frequency response, series andparallel resonance, mutual inductance, ideal transformers, Z, Y, H and T parameters, Fourierseries, Fourier and LaPlace transforms.At their junior year, or after completing both circuits I and II, students can enroll in analogelectronics, EEGR 3113, a three-hour lecture course. The content of the course is organized insix to seven topics that cover the following subjects: 1. Diodes and Rectifiers. 2. Semiconductor Physics. 3. Two-Ports, Load Lines and Biasing. 4. Piecewise-Linear Models. 5. Q-Point Stabilization, Thermal and Environmental Considerations. 6. Emitter Follower, Common Base and Common Emitter, Coupling and
the duct model. The airspeeds are too small for the normal wind tunnel measurement systemwhich makes use of the pressure drop in the wind tunnel converging section resulting from theBernoulli effect. An indirect method is possible, by measuring the volumetric flow rate suppliedto the rake manifold from the smoke generation system. If the total volumetric flow rate of aircontaining smoke is Q, then the average discharge velocity from N identical rake tubes will be U= Q/(NA), where A is the internal cross-sectional area of a single typical rake tube. Since theexit tube flow must be properly balanced with the external airspeed for so-called iso-kineticinjection, U will be approximately the airspeed in the tunnel test section at the point of the
: 1. Diodes and Rectifiers 2. Semiconductor Physics 3. Two-Ports, Load Lines and Biasing 4. Piecewise-Linear Models 5. Q-Point Stabilization, Thermal and Environmental Considerations 6. Emitter Follower, Common Base and Common Emitter, Coupling and Loading 7. Power Amplifier, Transformer Coupling 8. Operational Amplifiers 9. N and P channel depletion and enhancement MOSFETTo provide the students with an enhanced hands-on experience of the electronic componentsstudied in their lectures, a set of 12 learning oriented, pre-defined labs are incorporated in a twohour lab course. These labs cover the following topics
instructed to calculate the system average hydraulic detention time using experimentallydetermined/measured values for the reactor liquid volume, V, and the volumetric flow rate, Q,passing through the system. Parameters V and Q would necessarily be expressed in consistentand compatible units. Differences between the two calculated average detention time valuescould then be used as the focal point for an error analysis.The same basic sensor and overflow system can be used to examine other, more complexexperimental systems with the possible intent of comparing actual and theoretical system tracerresponses, determining the system dispersion number, or estimating the extent of dead volumepresent in a system. The continuous flow system consisting of four
, and other tutoringsystems,” Educat. Psychologist 46, 197 (2011).2 C. D. Whitlatch, Q. Wang, and B. J. Skromme, “Automated problem and solution generation software forcomputer-aided instruction in elementary linear circuit analysis,” in Proceedings of the 2012 American Society forEngineering Education Annual Conference & Exposition (Amer. Soc. Engrg. Educat., Washington, D.C., 2012),Session M356.3 B. J. Skromme, C. D. Whitlatch, Q. Wang, P. M. Rayes, A. Barrus, J. M. Quick, R. K. Atkinson, and T. Frank,“Teaching linear circuit analysis techniques with computers,” in Proceedings of the 2013 American Society forEngineering Education Annual Conference & Exposition (Amer. Soc. Engrg. Educat., Washington, D.C., 2013),paper 7940.4 B. J
circuit condition (V=0), the diode current of equation (1) will be reduced tothe short circuit current Isc= Iop given by: Isc= Iop = (A Ln gop + A Lp gop) (2)When the diode is not loaded or when there is an open circuit across the diode, the totalcurrent I=0. The corresponding voltage V=Voc is the open circuit voltage and is expressedby: kT Ç Ln - L p Voc ? ln È . g op - 1Ù (3) q ÉÈ ( L p / v p ) pn - ( Ln / v n )n p ÙÚAn illuminated diode can therefore generate power but not much power can be deliveredby a single junction which will have a voltage less than its contact
= . (11) Q in . . Qin = m HV fuel (12)Where HVfuel is the heating value of the fuelExperimental Results Figures 6-11 show sample of the output results obtained at various operatingconditions by the students. 120000 360 Engine Speed, Revolutions Per Minute
, Issue 6, pp. 501-507.6. Ahn, S. H., Bharadwaj, B., Khalid, H., Liou, S. Y. and Wright, P. K., “Web-BasedDesign and Manufacturing Systems for Automobile Components: Architectures andUsability Studies,” International Journal of Computer Integrated Manufacturing, 15,pp.555–563, 2002.7. Feng, J., “Internet-Based Reverse Engineering,” International Journal of AdvancedManufacturing Technology, January, 2002.8. Hu, H., Yu, L., Tsui, P. W. and Zhou, Q, “Internet Based Robotic System forTeleoperation, Assembly, and Automation,” International Journal of AssemblyAutomation, Vol.21, No.2, pp.143-151, 2001. Page 12.952.159. Huang, G. Q. and Mak, K. L., “Web-integrated
, S. Y. and Wright, P. K., “Web-BasedDesign and Manufacturing Systems for Automobile Components: Architectures andUsability Studies,” International Journal of Computer Integrated Manufacturing, 15,pp.555–563, 2002.7. Feng, J., “Internet-Based Reverse Engineering,” International Journal of AdvancedManufacturing Technology, January, 2002.8. Hu, H., Yu, L., Tsui, P. W. and Zhou, Q, “Internet Based Robotic System forTeleoperation, Assembly, and Automation,” International Journal of Assembly Page 11.858.12Automation, Vol.21, No.2, pp.143-151, 2001.9. Huang, G. Q. and Mak, K. L., “Web-integrated Manufacturing: RecentDevelopments and Emerging Issues
andquiescent (Q) point was described with a four-resistor bias network. The lab exercise for thatday was to build a biasing network and measure the voltages and currents and set the Q-point forthe transistor. The next section discussed the MOSFET as an amplifier and the idea of usingcapacitors to block DC voltages while passing AC signals in and out for amplification. Thestudents then added the appropriate capacitors to their circuit and measured the AC voltage gainat a fixed frequency. The last segment discussed the coupling capacitors and bias network ashigh-pass filters on the input and output. The students then measured the frequency response ofthe amplifier and compared it to expectations for the combined high-pass filters. Results
. An assessment of in-person and remotely operated laboratories. Journal of Engineering Education, 92(1):57–62, 2003.[34] Eileen Scanlon, Chetz Colwell, Martyn Cooper, and Terry Di Paolo. Remote experiments, re-versioning and re-thinking science learning. Computers and Education, 43 n.1-2:153–162, 2004.[35] H. Shen, B. Dalager X. Xu, V. Kristiansen, Ø . Strøm, M. S. Shur, T. A. Fjeldly, J.-Q. Liu, and T. Ytterdal. Conducting laboratory experiments over the internet. IEEE transactions on Education, 42(3):180–185, 1999. Page 14.259.10[36] D. C. Sicker, T. Lookabaugh, J. Santos, and F. Barnes. Assessing the effectiveness of
Poor 5 4 3 2 1Feedback from attendees Excellent Poor(New sign-ups, Q&A, etc.) (please explain) 5 4 3 2 1Overall, how do you think it went? Excellent Poor 5 4 3 2 1Resources Distributed: Not available yet: ̌ Careers in Metrology Poster
outcomes, which is a subset of thedepartmental outcome list, outcomes (a) through (q).Table 1 Course Outcomes of MEEN 3210 Measurements LabOutcome Description(a) an ability to apply knowledge of mathematics, science and engineering(b) ability to design and conduct experiments, as well as to analyze and interpret data(d) an ability to identify, formulate and solve engineering problems(f) an ability to communicate effectively(i) A knowledge of contemporary issues(j) an ability to use the techniques, skills and modern engineering tools necessary for engineering practice(m) an ability to use statistics and linear algebra(o) an ability to work
, Colorado.8. Ogot, M., Elliot, G., & Glumac, N. (2003). An Assessment of In-Person and Remotely Operated Laboratories. Journal of Engineering Education, 92(1), 57-64.9. Lindsay, E. D., & Good, M. C. (2005). Effects of Laboratory Access Modes Upon Learning Outcomes. IEEE Transactions on Education, 48(4), 619-631.10. McNemar, Q. (1969). Psychological Statistics (4th ed.): John Wiley & Sons.11. Ausubel, D. P. (2000). The acquisition and retention of knowledge : a cognitive view. Dordrect ; Boston: Kluwer Academic Publishers. Page 11.1431.9
courses, the students were overwhelmed at the end of the semester and had trouble putting in the time to do a good job on the project. Also, the pipe task was too difficult, it should be cut down to just finding Q given 𝛥P for straight pipes.3. AssessmentAssessment was implemented via student grades, student surveys, and, for 2014 and 2015, a popquiz given on the last day of class.3.1 Percentage of Report Grades Below 75%In 2010 - 2013, 27% of the lab reports received grades below 75%. In 2014, 5% of the pre-labs(which contained most of the material) and 5% of the post-labs (which required minimal work)were below 75%. This was expected since the students had to keep reworking all of the pre-labmaterial until it was correct, and
- What Engineering Educators Ought to Know," in 120th ASEE Annual Conference & Exposition, Atlanta, GA, 2013. 5. Q. L. Nesim Halyo, "Use of Video Technology to Improve Student Learing," in 120th ASEE Annual Conference and Expostion, Atlanta, 2013. 6. Kurt Gramoll, G. Hai-Shuan Lam, "Practical Streaming Video on the an Internet for Engineering Courses On- and Off-Campus," in 1999 ASEE Annual Conference, 1999. Page 26.941.11 Page 10 of 10
Engineering Education, April 1999, pp. 173-179.13 Q. Y. Tong and U. Gosele, Semiconductor Wafer Bonding: Science and Technology, Hoboken, NJ: John Wiley & Sons, Inc., 1999.14 Y. Xia and G. M. Whitesides, “Soft Lithography”, Annual Reviews of Material Science, Vol. 28, 1998, pp. 153– 84.15 R. L. Pimmel, “Student Learning of Criterion 3(a)-(k) Outcomes with Short Instructional Modules and the Relationship to Bloom’s Taxonomy”, Journal of Engineering Education, Oct. 2003, pp. 351-359.16 S. M. Kang and Y. Leblebici, CMOS Digital Integrated Circuits, Boston: McGraw-Hill, 1999.17 D. W. Parent, E. J. Basham, S. Ng, P. Weil, "An analog leaf cell for analog circuit design", Proceedings of the 2005 IEEE Int. Conf. on Microelectronic Systems