midterm test scores of students from Instructor B who used the hands-onapproach (only) with test scores of students (from Instructor A) who used simulation method(only). The criterion for statistical significance was set to alpha = .05. Two low score outlierswere identified in the midterm scores of the simulation group for Instructor A and these outlierswere changed to the nearest higher value within the group, (Outliers were not changed to themean scores to retain the scoring pattern of the students in the group assuming from the scoringpattern that the students were low scorers.) Examination of histograms, Q-Q plots, andKolmogorov-Smirnov test statistics indicated that the assumption of normality was met.Levene’s test indicated that the
appear to have magical power to theuninitiated. By the end of the hour we can alter the function generators settings, scramble theoscilloscopes controls, and the students can recover the signal (albeit with some guidance from acheat sheet).We then present two ways of considering capacitors. First, we present the physical model as adevice that stores charge, and draw the corresponding analogy from hydraulics (water stored in atank or bucket). We then give a more abstract definition that a capacitor is a device that obeys the Page 22.90.8equation V = q/C, and draw the parallel to Ohm's law, where I is replaced by q and R by 1/C. Webriefly touch
. "In e ac i e ial em f linea ci c i anal i : Im ac nlea ning and n el ial ." Ed ca i nal P ch l g 2004 (1998): 2010.[3] Sk mme, B. J., Ra e , P. J., Whi la ch, C. D., Wang, Q., Ba , A., Q ick, J. M., ... &F ank, T. S. (2013, Oc be ). C m e -aided in c i n f in d c linea ci c i anal i .In 2013 IEEE F n ie in Ed ca i n C nfe ence (FIE) ( . 314-319). IEEE.[4] Whi la ch, C. D., Wang, Q., & Sk mme, B. (2012). A ma ed blem and l i ngene a i n f a e f c m e -aided in c i n in elemen a linea ci c i anal i . In 119 hASEE ann al c nfe ence and e i i n. Ame ican S cie f Enginee ing Ed ca i n.
." United Nations Organization. https://unsdg.un.org/resources/policy-brief-education-during-covid-19-and-beyond (accessed April 14, 2021).[3] S. Khan, R. Rabbani, I. Thalassinos, and M. Atif, "Corona Virus Pandemic Paving Ways to Next Generation of Learning and Teaching: Futuristic Cloud Based Educational Model," Available at SSRN 3669832, 2020.[4] J. Q. Michael Fullan, Max Drummy, Mag Gardner, "Education Reimagined: The Future of Learning," no. http://aka.ms/hybridlearningpaper. [Online]. Available: http://aka.ms/hybridlearningpaper[5] "Pandemic sparks game-changing approach to hardware training." https://www.cmc.ca/pandemic-sparks-game-changing-approach-to-hardware-training/ (accessed April 14, 2021).[6] Q. N. Naveed, M
(Q) are shown in Table 1 foreach of the three courses in the capstone sequence. We consider 1-5 scores greater than 4 and 5-1scores less than 2 to be exceeding expectations. The results in Table 1 show students meet orexceed expectations in these metrics. Tracking these results through the academic year providesinsights in how perceptions of team satisfaction and task conflict change over time. For example,we observe that Team Satisfaction scores degrade by about 12 to 15% and Task Conflict scoresincrease by 14 to 18% during the capstone period.Table 1. Results of the CATME peer-assessment tool showing results from six survey questions for each of the three terms of the capstone sequence. Scale range is 1-5. For (Q
UMI Workshop June 18-20, 2018 Monday, June 18th 6:00 pm Welcome Reception & Dinner The Alexandrian Hotel Tuesday, June 19th 7:30 am Breakfast 8:00 am Welcome and Introduction 8:05 am Introduction of Potential New Partners 8:15 am Overview of Status of the Project 8:30 am Q&A 10:15 am Morning Break 10:30 am Session – Mega/REU/RET 12:00 pm Working Lunch 1:30 pm
scale of 5, what is your experience using the followingPre and Post-Tests programming languages?Students took three workshops two hours each in the laboratory. They received a pre-test beforeand a post-test after each workshop. Please refer to Appendix A for the test items. Tests resultswere analyzed by comparing students’ performance before and after taking the workshop todetermine learning gains. Our quantitative variables were the Score Gain (SG), defined as themean difference between scores on each question, and the Average Normalized Gain (NG),defined as: 𝑁𝐺 = 𝑆𝐺/(𝑄 − 𝑝𝑟𝑒), were Q is the question value and pre is the
algebra. The following topics areamong those areas: a) How to multiply two matricesIf we multiply a m×n (m is the number of rows and n is the number of columns) matrix by a n×pmatrix, the result will be a m×p matrix. If the number of columns of the first matrix is not equalto the number of rows of the second matrix, we cannot multiply those two matrices.In multiplication of two matrices, if the order of the two matrices change, if still the dimensionsallow multiplication, the result of multiplication will be different than the previous multiplicationunlike the multiplication of two scalars. b) How to write a set of equations with multiple unknowns in the form of matrices.If we have a set of q linear equations with q unknowns, the equations
-Pass with variouscutoff frequencies (Experiments 6-2 and 6-3), Band-Pass and Band-Reject with various Q-factors(measurements of these two filters are not included in this Lab); it also allows students toobserve the buildup and decay of the resonant response in Experiment 6-4.The lab manual for Experiment 6-1 includes a brief introduction to soldering, which covers theunderlying physical principles, a safety review, and links to videos demonstrating propersoldering techniques. In the Pre-Lab assignment, students are asked to draft a layout ofcomponents on a diagram of the prototyping board and answer questions reviewing the solderingprocess. In the lab, they are given step-by-step instructions (accompanied with numerousphotographs) to solder
., vol. 11, no. 5, pp. 742–753, 2017.[9] S. D. H. Hsu and J. Schombert, “Data Mining the University: College GPA Predictions from SAT Scores,” SSRN, vol. 35, 2010.[10] C. Romero, M. I. López, J. M. Luna, and S. Ventura, “Predicting students’ final performance from participation in on-line discussion forums,” Comput. Educ., vol. 68, pp. 458–472, 2013.[11] M. A. Al-Barrak and M. Al-Razgan, “Predicting Students Final GPA Using Decision Trees: A Case Study,” Int. J. Inf. Educ. Technol., vol. 6, no. 7, pp. 528–533, 2016.[12] D. Kabakchieva, “Predicting student performance by using data mining methods for classification,” Cybern. Inf. Technol., vol. 13, no. 1, pp. 61–72, 2013.[13] Q. a Al-radaideh, A. Al
Learning Community: A Student Perspective," Psychology Learning and Teaching, vol. 11, no. 3, pp. 406-412, 2012.[6] C. N. Loes, K. C. Culver and T. L. Trolian, " How Collaborative Learning Enhances Students’ Openness to Diversity," The Journal of Higher Education, vol. 89, no. 6, pp. 935-960, 2018.[7] B. J. Lemuel, "Collaborative Learning: A Program for Improving the Retention of Minority Students," ED384323, Virginia, 1991.[8] L. A. Guion, D. C. Diehl and D. McDonald, "Triangulation: Establishing the Validity of Qualitative Studies," EDIS, vol. 3, 2011.[9] M. Q. Patton, Qualitative evaluation and research methods, Fourth ed., Newbury Park, CA: Sage Publications, 2015.[10] T. D. Jick, "Mixing Qualitative and Quantitative Methods
. Ladeji-Osias, P. James-Okeke, F. Moazzami, C. Scott, K. Connor, A. Saka “Improving and Expanding Engineering Education in the Middle East and Africa Using Mobile Learning Technology and Innovative Pedagogy in Advances in Engineering Education in the Middle East and Africa, Current Status, and Future Insights,” Abdulwahed, M., Hasna, M., Froyd, J., Ed (2016)9. L. Zhang, I. Dabipi, Y. Jin, P. Matin, "Improving Undergraduate Engineering Education with Educational Module Library and Vertical Integration Projects," ASEE Conference 2016, Jun. 2016, New Orleans, LA.10. O. Nare, Q. Le, N. Halyo, Z. Hayes, and Z. Sun, “Assessing Potential Impacts an Experimental Centric Approach Can Have in an Introduction to Digital Electronics
AC 2009-2188: A CREATIVELY ENGAGING INTRODUCTORY COURSE INCOMPUTER SCIENCE THAT GENTLY MOTIVATES EXPLORATION OFADVANCED MATHEMATICAL CONCEPTSEric Freudenthal, University of Texas, El Paso Eric Freudenthal is an Assistant Professor of computer science at the Universtity of Texas at El Paso.Mary Kay Roy, University of Texas, El Paso Mary "Kay" Roy is on the adjunct faculty of computer science at the Universtity of Texas at El Paso.Alexandria Ogrey, University of Texas, El Paso Alexandria N. Ogrey is a B.S. candidate studying computer science at the Universtity of Texas at El Paso.Ann Gates, University of Texas, El Paso Ann Q. Gates is a Professor of computer science at the University of
communication) IEEE Fellow, past IEEE NW region chair Topics: Career advice, career path, IEEE, and IEEE student branchWeek 3 Speaker: Todd Morton Professor and program director, EE program Topics: EE program overview and curriculum with Q/A sessionWeek 4 Speaker: Aaron Michelle (Area: analog and digital circuits) Alumni, Electrical Engineer, Wood Stone Corporation Topics: Career advice and projects completedWeek 5 Speaker: Kyle Williams (Area: Electronic display systems) Alumni, Engineer, Daktronics Inc. Topics: Career path, advice, and projects completedWeek 6
" Journal of Engineering Education, 82(2), 1993.10. tinyURL.com/CATE-INTRO11. YourLearningCoach.com12. F. W. DePiero, “Work-in-Progress: Design of an Online Learning Coach,” in Proceedings of the 2013 ASEE Annual Conference & Exposition. Atlanta, GA, ASEE, 2013.13. moodle.org14. mooc.org15. bwrcs.eecs.berkeley.edu/Classes/IcBook/SPICE16. C. D. Whitlatch, Q. Wang, and B. J. Skromme, “Automated problem and solution generation software for computer-aided instruction in elementary linear circuit analysis,” in Proceedings of the 2012 ASEE Annual Conference & Exposition. Washington, D.C., ASEE, 2012.17. B. J. Skromme et al., “Teaching linear circuit analysis techniques with computers,” in Proceedings of the
York, New York, USA: ACM Press; 2012. p. 75–80. http://dl.acm.org/citation.cfm?id=2380552.238057315. Dark M. Using Educational Theory and Moral Psychology to Inform the Teaching of Ethics in Computing. In:InfoSecCD ’05 Proceedings of the 2nd Annual Conference on Information Security Curriculum Development. NewYork, New York, USA: Association for Computing Machinery (ACM); 2005. p. 27–31.16. Dark MJ, Epstein R, Morales L, Countermine T, Yuan Q, Ali M, Rose M, Harter N. A Framework forInformation Security Ethics. 10th Colloquium for Information Systems Security Education. 2006.17. White GB, Williams D. The National Collegiate Cyber Defense Competition. Tenth Colloquium for InformationSystems Security Education. 2006.18. White GB, Williams D
communications instruction. Recentexamples include the implementation PCM speech processing10, Frequency Shift Keying (FSK)and Differential Phase Shift Keying (DPSK)13 and as a general purpose communications lab toolthat includes a digital modulator for Binary Phase Shift Keying (BPSK), Quaternary Phase ShiftKeying (QPSK), 8-PSK, 16-PSK, 8-level Quaternary Amplitude Modulation (8-QAM), and 16-QAM schemes14. With this last example, users may choose pulse shape, baseband or carriertransmission (0 to 24 kHz) and impairment (I/Q imbalance/skew and noise/interferer). Containedwithin this paper are several digital communications experiments that augment the DSP basedcommunications features mentioned above.DSP Starter Kit FeaturesThe 6713 DSK is a turnkey DSP
. Page 15.556.3 Single Carriers Band Pass Single carrier Normality I-Q Modulations diagrams modulations test OFDM, n carriers Multi Carriers Parameter extraction Figure 1. Tree structure of modulation classificationThis simple diagram then involved working on different Gaussianity tests (which
well received. These lab activities are still shy from beingexcellent. The authors hope to stimulate positive and productive discussion by sharing ourexperience and would like to hear the inputs and feedbacks from reviewers and conferenceattendees for further improvement.Bibliography [1]. https://www.google.com/search?q=renewable+energy+courses+in+usa&rlz=1C1CHFX_enUS520US520 &oq=renewable+energy+courses&aqs=chrome.1.69i57j0l5.10905j0j4&sourceid=chrome&espv=210&es _sm=122&ie=UTF-8 [2]. http://www.taylorandfrancis.com/ [3]. http://www.mheducation.com/ [4]. http://www.wiley.com/WileyCDA/ [5]. Leon Freris and David Infield, Renewable Energy in Power System, John Wiley &
instead of an analogswitch. The TIMS-provided BPSK experiment was simplified to eliminate the phase shifter andline-code encoder, but still have a functional modulator that produces the expected BPSKwaveform. Instead of using an M-level encoder to generate I and Q data signals from a bitstream, as is done in a TIMS-provided experiment, a QPSK modulator is constructed inExperiment 6 using two independent data streams from the Sequence Generator module, eachmultiplies either a sine or cosine carrier, and the two modulated carriers are added. The use ofthe spectrum-analyzer capabilities built into the oscilloscope again allows students to view signalspectra. Students easily verify that the bandwidth of the BPSK signal with message data at
Ideal transformers Transfer functions Introductory coverage Frequency response Resonance Filters Two-port networks Topics to be taught in Electronics Bandwidth and Q Shifted Content Three-phase systems Topics to be taught in Electric Machines
engineering education.Prof. Dimitrios Peroulis, Purdue University Dimitrios Peroulis received his PhD in Electrical Engineering from the University of Michigan at Ann Arbor in 2003. He has been with Purdue University since August 2003 where he is currently leading a group of graduate students on a variety of research projects in the areas of RF MEMS, sensing and power harvesting applications as well as RFID sensors for the health monitoring of sensitive equipment. He has been a PI or a co-PI in numerous projects funded by government agencies and industry in these areas. He has been a key contributor in two DARPA projects at Purdue focusing on 1) very high quality (Q>1,000) RF tunable filters in mobile form factors
-level approach. In 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah, June 2018. ASEE Conferences. doi: http://dx.doi.org/10.18260/1-2--29706. https://peer.asee.org/29706. [4] K. Cao, Y. Liu, G. Meng, and Q. Sun. An overview on edge computing research. IEEE Access, 8:85714–85728, 2020. doi: http://dx.doi.org/10.1109/ACCESS.2020.2991734. [5] Iot connected devices worldwide 2030, Jan 2021. URL https://www.statista.com/statistics/ 802690/worldwide-connected-devices-by-access-technology/. [6] De2i-150 development system, 2021. URL http://de2i-150.terasic.com. [7] Matthew McConnell, Nicholas Barendt, and Kenneth A. Loparo. A framework for remote hardware lab course delivery - rapidly adjusting to 2020. In 2021
generates its own carrier signal. Thecircuit operates due to the action of the message signal driving the bias point of the Page 13.367.7oscillating transistor. As the amplitude of the message signal varies, the oscillationfrequency varies proportionally, thus creating an FM signal. To operate, this circuitrequires an appropriately High-Q inductor-capacitor pair (L1 and C2). Additionally, thevariable capacitor C2 controls the oscillator frequency, which roughly supports a centerfrequency range of 80–120 MHz.This circuit uses a fairly low-level message signal amplitude of less than 100 Vrms . If sodesired, the output level of the FM signal can be varied by
tolerances. Students were also taught correct procedures forinstalling SMA connectors to their fabricated components to permit convenient testing and tohave a modular system capable of easy component replacement.Teaching ConceptsThe instructor used an interactive lecture format focusing on elements from the project as elicitedfrom a Q&A session at the start of the lecture. The primary focus of the lecture was to providesufficient background to understand the theoretical aspects required to succeed at transitioningfrom a technician (focus on instrumentation and manufacturing) to an engineer (focus oninterpretation and adapting design or measurement procedures). Example problems were alsoassigned to students, but were not collected or graded
the Jacobian matrix ÷P2 ÷P2 ÷P2 ÷ | V2 | ÷φ 2 ÷φ 3 J ? ÷P3 ÷P3 ÷P3 . ÷ | V | ÷φ 2 ÷φ 3 ÷Q 2 ÷Q2 ÷Q2 2 ÷ | V2 | ÷φ 2 ÷φ 3 For the initial estimates | V2 | = 1.0 p.u., φ 2 ? 0 o , and φ 3
in the communications lab, where the USRP was connected to anoutdoor antenna. Students were able to see the signal flow in a SSB receiver implemented inGRC using Weaver’s Method. Weaver’s Method is highly complex and involves such conceptsas analytical signals using in-phase(I) and quadrature(Q)components. Signals in the 20 meter HFamateur radio band were received (see figure 11). This demonstration could have also beencarried out using pre-recorded signals captured by the USRP. Figure 11. Spectrum of 20 Meter HF Amateur Radio BandDemonstration 4: Angle ModulationThe final demonstration of the series dealt with the most complex form of modulation, anglemodulation. At this point in the semester, students had learned about the
. [3] W. Zhu, ”NaturalCubic B-Splines Structure at the boundaries,” International Journal of Science & Information, 2(3), 2012,pp. 34 – 40. [4] W. Zhu, ”Existence condition for tight frame wavelets on NURBs: bounded,” Interna-tional Journal of Science & Technology, 1(1), 2011. [5] B. Li, W. Zhu & Q. Jiang, ”Analysis and Designof Quadrilateral/Triangular Subdivision Schemes”, Computer Aided Geometric Design, 26 (2009), pp.904-922Five Additional Selected Publications [1] F. Lin, K. Sookhanaphibarn & W. Zhu, ”Observation of tsunamiradiation at Tohoku by remote sensing”, Science of Tsunami Hazards, 30(4), 2011, pp. 223 -232. [2] W.Zhu, D. Ukaivbe, ”Simulation data with Bezier Curve with Subdivision Scheme”, International Con
. In order to answer the question, “dDo web-based programming environments increase learner content gains during and after initialinstruction?” this study focused on a subset of the pre/post assessment questions related to thefundamental CS theory. Table 5.3.1 contains some of the questions from the actual assessment. Itis important to note that question seven, regarding the illustration of sequential operation, onlycontained graphical illustrations while all the remaining questions were related to real codestatements in one of three programming languages: C++, Python or Logo. Table 5.3.1 Assessment question and corresponding computer science concept(s). Q Session (Lang) Location Assessment Question (Summary
the meeting of the American Society for Engineering Education, New Orleans, LA. 6. Schweitzer, J., Groeger, L., & Sobel, L. (2016). The design thinking mindset: An assessment of what we know and what we see in practice. Journal of Design, Business & Society, 2(1), 71-94. DOI: 10.1386/dbs.2.1.71_1. 7. Burke PJ, Stets JE. Identity Theory. Oxford University Press; 2009. 8. Stryker S, Burke PJ. The past, present, and future of an identity theory. Soc Psychol Q. 2000: 284-297. 9. Tonso KL. Student Engineers and Engineer Identity: Campus Engineer Identities as Figured World. Cult Stud Sci Educ. 2006;1(2):273-307. doi:10.1007/s11422-005-9009-2