engineering grant supporting Historically Black University and Col- leges; ”Building Learning Communities to Improve Student Achievement: Albany City School District” , and ”Educational Leadership Program Enhancement Project at Syracuse University” Teacher Leadership Quality Program. She is also the PI on both ”Syracuse City School District Title II B Mathematics and Science Partnership: Science Project and Mathematics MSP Grant initiatives.Dr. Corey A Graves, North Carolina A&T State University Corey A. Graves is an associate professor and the director of the Auto Mobile Pervasive and Embedded Design 9AMPED) Laboratory in the Electrical and Computer Engineering Department at North Carolina A&T State University
to advance its mission through well-planned communication strategies and impactful in- dustry partnerships. She received the College of Engineering Outstanding Administrative Professional Staff Award in 2010 and 2017, respectively, and the Colorado State University Distinguished Administra- tive Professional Award in 2017. Leland holds a Bachelor’s of Science in Organizational Communications and Marketing from the University of Central Missouri.Dr. Laura B. Sample McMeeking, Colorado State University Laura B. Sample McMeeking is the Associate Director of the CSU STEM Center. She earned a Master of Science degree in Atmospheric Sciences and Meteorology and a Ph.D. in Education and Human Resource Services from
based upon student work and is guided by thegrading of that work.In this paper, the implementation of our course-embeddedassessment method to a benchmark course is presented. EGR 360-Analysis of Engineering Data was selected as a benchmark coursefor the EAC Student Outcome b (an ability to design and conductexperiments, as well as to analyze and interpret data).A description of the process, data collection efforts, and analysis ofthe results in applying course-embedded assessment method to thebenchmark course are provided. We believe the process presentedin this paper can be beneficial to others in the engineeringcommunity as they address compliance of their programs with theAccreditation Criteria.IntroductionIn 1992, ABET invited academic
experiment setup and output sample will also be described. The oldpower laboratory equipment is shown in Figure 1. Figure 1. Old laboratory equipment. (a) DC machine (b) Wound rotor AC machine (c) DC machine field control circuit (d) RLC load panel (e) resistor bank (f) DC machine starter (g) AC machine configuration Page 25.391.3 panel (h) AC machine starter2. Hardware DesignThe hardware design of the new laboratory has focused on cost-effectiveness whilemaintaining reasonably high performance. Furthermore, ability to offer a "real-world"experience has been taken into consideration as an important
code of 7 bits per ship (6 bits for the rowand column of the ship’s upper left square, plus one bit to saywhether the remainder of the ship lies below or to the right). Students discussed whatinformation needs to be established between the communicating parties in advance, in addition tothe basic mapping (000=A, 001=B, etc.). For example, the 64-bit message requires agreement onthe raster scan order, and the 21-bit code requires agreement on the ship order (e.g., longest toshortest).Next, modulation was introduced as a mappingfrom individual bits or groups of bits in the sourceencoded message to transmission symbols. Theinstructor showed transmission with a flashlight;each wave (ON or OFF) conveys one source bit asone transmission symbol. With
and Col- leges; ”Building Learning Communities to Improve Student Achievement: Albany City School District” , and ”Educational Leadership Program Enhancement Project at Syracuse University” Teacher Leadership Quality Program. She is also the PI on both ”Syracuse City School District Title II B Mathematics and Science Partnership: Science Project and Mathematics MSP Grant initiatives.Dr. Mohamed F. Chouikha, Howard University Dr. Mohamed Chouikha is a professor and chair of the Department of Electrical and Computer Engineer- ing at Howard University. He received his M.S. and Ph.D. in Electrical Engineering from the University c American Society for Engineering Education, 2017
project (motor Work on your final project (simple12 & 13 controller with feedback) video game) Table 1: Traditional and alternate lab assignments by week 4 (a) (b)Figure 1: (a) Velleman 16-key keypad used in the traditional lab assignments (b) LED displaymatrix and push-button game-pad developed for alternate lab assignmentsAs an example of this approach, we will discuss in detail the traditional and alternate lab assign-ments that deal with external interrupts and keypad scanning algorithms. In the traditional lab,students are required to interface a 16-key push-button keypad, shown in
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learning inductivemethodology5 referred to as a Term Project. For this project, students are organized in teams oftwo or three students and the instructor specifies an assignment to carry out one or more tasksthat lead to the development of a final product. Teams are required to design, simulate, andimplement a digital controller on a Quanser’s Ball and Beam (B&B)6 system available in theProcess Instrumentation and Control Laboratory (PICL)7. The controllers should be implementedusing a microcontroller based system (MCS) as well as with Simulink through Quanser’sQuarc® tool. Finally, a comparison between both implementations was made. The MCSworkstation uses the Texas Instruments C2000 F28069 Microcontroller, the DRV8833 motordriver, and a
) (1) dt JLr J d a Rr Rr a b Mia (2) dt Lr Lr d b Rr Rr b a Mib (3) dt Lr Lr dia MRr M
and dc-ac invertersare designed and prototyped by the students, Fig. 1(b). Page 22.67.4 (a) (b)Fig. 1: Laboratory workstation for (a) built-in power electronic circuits on the TI C2000 RED kit, and (b) student’s designed and prototyped circuits. a. Integrated Development EnvironmentThe concepts of rapid prototyping and digital control techniques in power electronics in thedeveloped laboratory are realized based on using the TI C2000 micro-controller [13] inconjunction with the MATLAB/Simulink
wasgiven as extra credit towards their final grade. Students had to attend a majority, but not all, classlectures to receive the maximum amount of extra credit points, which was capped at a 3% boost totheir final grade. Students who did not attend a majority of lectures received a portion of the extracredit points that correlated to the number of lectures they attend. While this method for awarding 2 a) b)Figure 1: Selected problem from the beginning of the course for calculating the real power dissipated by a single phase system. (a) is the selected problem with the multiple choice answers given.(b) is the student responses, and the correct answer is marked in green.extra
engineering experiments, as well as analyze and interpret data (b) - Function effectively on multi-disciplinary teams to accomplish assigned tasks (d)4- Inquiry Skills (SLO4) Page 24.124.3 - Conduct research in electrical engineering discipline as part of life-long learning (i) - Evaluate engineering systems as pertained to novelty and contemporary issues (j)5- Profession Skills (SLO5) - Apply the rules of the code of professional conduct and ethics in electrical engineering (f1) - Provide alternative outcomes for a given conflict of interest or dilemma (f2)6- Communication Skills (SLO6) - Write technical reports that conform to standard
image, i.e. removing the noise or at least minimizing it with theleast possible damage to the image quality. During their search for a solution, students learnabout area processing. The best de-noising is achieved using either a low pass (smoothing) filteror a median filter. The project is also a good place for the instructor to introduce another usefularea process, the high pass (sharpening) filter. The de-noised image is shown in Figure 3.b. a. Original Image b. De-noise Image Figure 3. The original and the de-noised (low pass filtered) versions of the image used in the image de-noising project. III. Edge DetectionIn this project, students are given the
Acquisition and Analysis in the ClassroomAbstractPulse oximetry is an essential health-monitoring technique in both clinical and home careenvironments. From an engineering education perspective, pulse oximeter technology offersexcellent study material in areas such as light-based sensor construction, embedded systemdesign, control theory, and digital signal processing. However, off-the-shelf pulse oximeters donot provide suitable educational platforms for several reasons: (a) their design layouts andinternal data flows are inaccessible to the user, (b) units that display photo-plethysmographic/pulse waveforms or make those signals available to the user provide data that have already beenfiltered in an unspecified manner, and (c) sensor sites are
Course Student Program Outcomes Survey Survey (FCARs) Rubric (Indirect) (Indirect) (Direct) (Direct) (a) An ability to apply knowledge of EECS 111 X X mathematics, science, and engineering. (b) An ability to design and conduct experiments as well as analyze and interpret X X X data (c) An ability to design a system to meet
engineering students is difficult; most consider privacyissues enough to squash this idea. The alumni themselves are hard to find. ABET seems to sense the difficulty and our evaluators weresatisfied with our limited survey results.Criterion 3’s program outcomes are a different matter. These are the abilities that students are supposed to have on graduation fromyour program. For example, the a-k outcomes that ABET suggests for a computer science program are: Page 25.90.2a) An ability to apply knowledge of computing and mathematics appropriate to the discipline;b) An ability to analyze a problem, and identify and define
13% 14% 0% 29% 57% 87% Page 25.1376.6Figure 4: Grade distribution: 2010 vs. 2011 6 7 5 6 A 5 A 4 Students Students B 4 B 3
also leading Project METEOR at the Rochester Institute of Technology, a sequence of multidisciplinary senior design projects.Daniel Phillips, Rochester Institute of Technology Daniel B. Phillips was born in 1956 in Rochester, N.Y. He received a Bachelor of Science in Electrical Engineering in 1979 from the State University of New York at Buffalo where he continued graduate study in electrophysiology until 1981. He was employed in both the clinical and industrial sectors between 1982 and 1992 in the areas of automated test, embedded systems and biomedical data acquisition and control. After spending two years as a consultant to the Department of Anesthesiology at Yale University, he was
models in science,engineering, and technology to the development of abstract symbol systems. 16 The abundantpresence and the variety of models in these disciplines suggest that modeling can help studentsdevelop understanding about a wide range of important ideas. However, modeling is largelymissing from school instruction. Figure 1(a) shows engineering practice cycles and Figure 1(b)shows cycles of modeling based learning. Page 26.747.3Figure 1. (a) Engineering practice cycles; (b) Model based learning cycles; (c) The LeshTranslational Model 15Education researchers have long believed that the structure of any domain knowledge can becharacterized
other changes to the circuit what will be the observed result on the bottom trace? a) The bottom yellow trace will remain unchanged as the Fourier Series components of the input and output waveforms are not related. b) The bottom yellow trace will become “smoother” as it attenuates more of the higher frequency components of the Fourier Series representation of the input waveform. c) The bottom yellow trace will become more “jagged” as it does not attenuate many of the higher frequency components of the Fourier Series representation of the input waveform." d) None of the other choices is correct.Another question might be posed from a design perspective.2) Suppose you are to create a simple filter to recover a
as the surrogate vehicle. - Four USB 2.0 Ports,Guiding students that are enthusiastic to join - 24 Pin Header with GPIO, and - Ethernet connection.innovative teams and contribute to advancing ITSsolutions was rewarding and this project enabled The Raspberry Pi 2 B+ is very popular as a selectionthem to gain experience, practice and practical for embedded applications due to its low powerproblem-solving skills. Students were expected to consumption and low price in comparison to itsstudy outside of assigned homework, consult with capabilities. Digital simulation was considered andexperts
simulation result Arrived at correct measurement OR B simulation result Build circuit AND simulation wiring C diagram correctly Build circuit OR simulation wiring D diagram correctly Nothing correct FIn the case of the lab reports, assignments were graded Satisfactory Quality (SQ) or NotSatisfactory Quality (NSQ) with one missed spec resulting in a NSQ report. At the end of thesemester, the number of SQ reports determined students’ grade on the report component of the lab,according to Table 2. The detailed list of
2020].[2] "Closing the Skills Gap 2019," Wiley Education Services & Future Workplace, Louisville, KY, 2019.[3] C. Richard, K. Ramachandran and I. Pandoy, "Looming talent gap challenges semiconductor industry," Deloitte-SEMI, 2018.[4] "The Skills Gap in Wireless Infrastructure Training and Education: A Strategy for Improvement," Wireless Infrastructure Association , 2016.[5] "TUEE Transforming Undergraduate Education in Engineering Phase I: Synthesizing and Integrating," ASEE, Arlington, VA, 2013.[6] B. S. Bloom, Taxonomy of educational objectives: The classification of educational goals, New York: Longmans, Green, 1956.[7] D. R. Krathwohl, B. S. Bloom and B. B. Masia, Taxonomy Of Educational Objectives, Handbook II
orienting the track orthogonal to the line connecting transmitter toreceiver. For both cases, received waveforms were recorded every 2 centimeters over the 1.2meter length of the track, for a total of 60 received waveforms recorded along the length of thetrack.A block diagram of the measurement system is given in Figure 1. Example images from themeasurement campaign illustrating the four different forest environments are shown in Figure 2. Page 13.200.4 (a) (b)Figure 1: Illustration of the UWB propagation measurement system. (a) Block diagram of the measurement
)) px.setColor (green) if(r<40 and g<40 and b<40): if r<40 and g<40 and b<40: show (image) px.setColor (green) p.setRGB((x,y), green) show (image) p.repaint() Page 14.22.3Table 1 includes three versions of essentially the same function used in an initial programmingexercise for all of our courses and approximates an early exercise in Guzdial's mediaprogramming text. These functions read a JPEG image of a familiar cartoon character who iswearing a black shirt and shoes, and then dramatically
builds.In an attempt to quantify differences between the 270 on-line and classroom students, 210projects were reviewed and assigned two scores on a scale from zero to five where a score ofzero is the lowest indicating the student did not deliver a functioning project and five is anexceptional score where the student showed mastery of the material. The two scores were basedon the Arduino code and the other for the circuit design. The scores were weighted based on twoquestions from the survey: 1) What prior level of Arduino builds experience did you have? a. Essentially No Experience (I have used a hammer and screw driver a few times to assemble furniture, etc. but that's about it) b. A Little Experience (I have
electricalcircuit concepts.90 Figure 38070605040302010 0 Page 26.256.5 q6_Y q6-N 5Some sample results to question Q7, the students comments regarding the use of the online tool,mastering engineering, is given in appendix B.Figure 4a and 4b are based on the data showed in the appendix B. Three main elements weregraphed for each homework assignment: the number of homework problems, average time spentfor a problem, and the total time spent for assignment. Figure 4a, is the bar
to overcome. Theself-confidence in one's capabilities leads individuals to set challenging goals and havecommitment to overcome them. Bandura has identified four sources that contribute to enhancingthe perception of self-efficacy: (a) enactive mastery experiences (actual performances); (b)observation of others (vicarious experiences); (c) social persuasion, both verbal and otherwise; and(d) ‘physiological and affective states from which people partly judge their capableness, strength,and vulnerability to dysfunction’ [9-10].An important aspect of self-efficacy is that it relates to judgment of one's capabilities in a particulardomain [11]. This leads to the conclusion that high self-efficacy in one domain is not necessarilyrelated to high
, inaddition to an improvement in the average FC grade, the range between the minimum andmaximum grade for each exam reduced, highlighting a positive impact on student learning. Inaddition, the grade distribution in Fig. 3 shows that, the number of A/A-/B+ grades increased atthe cost of B/B-/C+, and number of C-/D+ grades increased at the cost of E grades, furtherdemonstrating the profound impact of the FC framework. Table 3: Statistical Analysis of Examination Grades (N=Number of Students) Std. Group N Mean Min Max Dev Traditional: Midterm-01