Paper ID #21580Incorporating PlutoSDR in the Communication Laboratory and Classroom:Potential or Pitfall?Dr. John ”Ed” E. Post P.E., Embry-Riddle Aeronautical University John. E. Post received the B.S. degree in electrical engineering from Texas Tech University in 1981, the M.S. degree in engineering from the University of Texas at Austin in 1991, and the Ph.D. degree in electri- cal engineering from Stanford University in 2005. He was commissioned a second lieutenant in the United States Army in December, 1981 and served on active duty until his retirement as a lieutenant colonel in June, 2006. His military service
AC 2009-35: STARTING FROM SCRATCH: A SUMMARY OF EXPERIENCES INTHE FIRST YEAR OF THE COLLABORATIVE ELECTRICAL ENGINEERINGPROGRAM BETWEEN MISSOURI UNIVERSITY OF SCIENCE ANDTECHNOLOGY AND MISSOURI STATE UNIVERSITYRobert Egbert, Missouri State University Dr. Robert Egbert is Professor of Electrical Engineering at Missouri State University (MSU) in Springfield, MO. He received B.S., M.S., and Ph.D. degrees from the University of Missouri - Rolla (now Missouri University of Science and Technology - Missouri S&T) in 1972, 1973, and 1976, respectively. He has industrial experience with Black & Veatch Consulting Engineers in Kansas City and MKEC Engineering Consultants in Wichita, KS. He was a member
AC 2012-5049: USEFUL STRATEGIES FOR IMPLEMENTING AN ON-LINE UNDERGRADUATE ELECTRICAL ENGINEERING PROGRAMDr. Craig J. Scott, Morgan State University Craig Scott is a professor and Chairperson for the Department of Electrical and Computer Engineering at Morgan State University, Baltimore, Md. He is currently directing research in developing tools for visual analytics, image/spatial data fusion, and aircraft synthetic vision systems. Additionally, he is conducting pedagogical studies on learning technologies and remedial math preparation for engineering students. He instructs courses in electromagnetics, solid state theory, characterization of semiconductor materials, computer vision, and computational electrical
Trans. on Computer- Aided Design of Integrated Circuits and Systems special issue on Design Quality and Design Closure: Present Issues and Future Trend”, 2005. He also served as the Guest Editor of the Microelectronics Journal on Quality Electronic Design, 2005. His research interests include VLSI circuit and system design, CAD methodology for VLSI design, and bioelectronics.Prof. Anthony A. Maciejewski, Colorado State University Anthony A. Maciejewski received the BSEE, MS, and PhD degrees from the Ohio State University in 1982, 1984, and 1987, respectively.From 1988 to 2001, he was a professor of electrical and computer engineering at Purdue University, West Lafayette. He is currently a professor and the department
AC 2012-3187: SERVICE LEARNING: ASSISTIVE TECHNOLOGY UN-DERGRADUATE DESIGN PROJECTSDr. Steven F. Barrett, University of Wyoming Steven F. Barrett, Ph.D., P.E., received a B.S. in electronic engineering technology from the University of Nebraska, Omaha, in 1979, a M.E.E.E. from the University of Idaho at Moscow in 1986, and a Ph.D. from the University of Texas, Austin, in 1993. He was formally an active duty faculty member at the U.S. Air Force Academy, Colorado, and is now professor of electrical and computer engineering and Associate Dean for Academic Programs, College of Engineering and Applied Science, University of Wyoming. He is a member of IEEE (senior) and Tau Beta Pi (Chief Faculty Advisor). His research
Paper ID #21678Using Student Video Presentations to Develop Communication SkillsDr. Thomas J. Siller, Colorado State University Tom Siller is an associate professor in Civil and Environmental engineering at Colorado State University. He has been a faculty member at CSU for 30 years.Dr. Anthony A. Maciejewski, Colorado State University Anthony A. Maciejewski received the BS, MS, and PhD degrees in electrical engineering from Ohio State University, Columbus in 1982, 1984, and 1987, respectively. From 1988 to 2001, he was a professor of electrical and computer engineering at Purdue University, West Lafayette. He is currently
Page 22.1688.6 Electrical Aptitude Test1.Which of these pairs of magnets will stick together in the positions they are in?(A) Drawing A(B) Drawing B(C) Both Drawings2.Which battery has the higher energy capacity?(A) Battery A(B) Battery B(C) There's no difference Page 22.1688.7 13.Will this bulb light up?(A) Yes(B) No(C) Can't Tell4.Which light bulb gets hotter?(A) A(B) B(C) Can't Tell Page 22.1688.8 25.Which bulb will light up?(A) Drawing A(B) Drawing B(C) Both6. The force that causes electrons to flow through
labs). Recent offerings of this course taught in the traditional way by thesame instructor resulted in only 60.8% of the students receiving a “B-” or higher grade for thecourse. In the first iteration of TIMS system, the number of students who received a “B-” orbetter increased to 77.8%. Moreover, 96.3% of students “agree” or “strongly agree” that TIMShelped them to better learn the course content. 92.6% of students “agree” or “strongly agree” thatTIMS increased their interest in the subject.IntroductionCourses in communication systems are based on complex and mathematical concepts that arehard for many undergraduate engineering students to fully understand. Typical pedagogyinvolves theory with lectures and readings, mathematical homework, and
. This paperdescribes an investigation of problem-based learning on undergraduate electrical engineeringstudents’ conceptual understanding. Fifty-five students enrolled in an electrical engineeringcourse at a Mid-western university participated in this student. The study utilized a within-subjects A-B-A-B research design with traditional lecture as the baseline phase and problem-based learning as the experimental phase of the study. Participants completed pre-post testssurrounding the four topics covered in the study. Results suggested that participants' learninggains from problem-based learning were more than learning gains from traditional lecture.IntroductionRecently, there has been a shift from using lecture-based teaching methods in the
N-dimensional resistive lattice case, followedby the inductive and capacitive lattice cases. Page 14.300.3ab Fig. 1. Infinite 2D square lattice a b Fig. 2. Infinite 2D Honeycomb lattice Page 14.300.4Case 1: Infinite N-dimensional Resistive Lattice For the purpose of illustration, consider the two-port test circuit shown in Fig. 3containing the infinite 2D square resistive lattice shown in Fig. 1. In the infinite resistive lattice,each branch corresponds to a single resistor of value R and the number of resistors connected toeach node is denoted by M (where
one to what we need in the current project. We then make thenecessary changes to tailor the (old) code to our needs. We believe that this step will greatlyimprove our students’ performance and their test results.References[1] S. Brown and Z. Vranesic, Fundamentals of Digital Logic with VHDL Design, 3rd edition, McGraw Hill.[2] A. B. Marcovitz, Introduction to Logic Design, 3rd edition, McGraw Hill.[3] R. S. Sandige, M. L. Sandige, Fundamentals of Digital and Computer Design with VHDL, McGraw Hill.[4] F. Vahid, Digital Design with RTL Design, VHDL, and Verilog, 2nd edition, John Wiley & Sons.[5] J. F. Wakerly, Digital Design, Principles and Practices, 4th editon, Prentice Hall.[6] J. Pang 2015. “Active Learning in the
projects toundertake: a synchronous counter design and a 7-segnment display system. Both projectsutilized Altera Quartus II software and DE2 development boards. Evaluations were based onstudent surveys (course evaluations) and student work (assigned homework, exams and labs).Recent offerings of this course taught in the traditional way by the same instructor resulted inonly 62% of the students receiving a “B-” or higher grade for the course. In the first iteration ofproject-based learning, the number of students who received a “B-” or better increased to 86%.Moreover, 96% of students “agree” or “strongly agree” that projects helped them to better learnthe course content.A module of Introduction to Engineering was also modified to increase PBL
. 2 kΩ + + + 2 kΩ 1 kΩ 3 kΩ 15 V 10 mΑ 1 kΩ Vo Vo Vo — 15 V 10 V — 25 V — (a) (b) (c) Figure 2: Loss of Terminals during Circuit ReductionFirst, the students observe that the parallel combination of 10 mA and 1 kΩ in Figure 2a can be treatedas a practical current source. Noting that
Page 14.713.2intelligences to answer this question.Thirty volunteers (five female, twenty five male) answered MI and VAK tests in our ElectricalEngineering department. Subjects were international first semester engineering graduate studentsin ELEG 443-Digital Signal Processing. The age range of the group is between 23 and 25 yearsold. The MI test includes 40 questions, and the VAK test includes 30 questions, each designed tofind our graduate (Master degree) students’ strongest thinking and learning preferences. SeeAppendix A and B for MI test and VAK test questions. The MI test was used for finding thethinking styles and the VAK test was used for finding the learning styles. Thinking and learningstyles show individual differences in academic
engineering project activities to engage the following STEMconstituents (a) students (b) educators (c) first-year engineering students in undergraduate degreeprograms. Laboratory and engineering project experiences can effectively introduce and reinforceSTEM-related concepts. The first two constituents form part of the K-12 STEM education process.The third constituent represents the graduates of the process. The constituents identified as studentsare introduced to aspects of engineering design, assembly, test, and validation through step-basedproject activities. The introduction takes place with the students either participating in projectactivities in the undergraduate engineering laboratory or with faculty from undergraduateengineering programs
delivered mostly in the traditional lecture formassisted by available multimedia tools such as PowerPoint presentations. The new teachingmethod under evaluation is designed according to intentional learning principles and utilizesseveral intentional learning tools such as a “jigsaw puzzle” type of group discussion and roleplaying. The students are also given the opportunity to define their learning objectives andchoose the evaluation methods. In both control and study cases, the same teacher teaches thesame group of students during the same semester. The students come to the two classes involvedin the study and with the same prior knowledge. The subject areas of the two courses involvedare also similar. The students attending Course A and Course B
correct word alignment by performing the CRC foreach possible word alignment to find the one that satisfies the CRC check. In order to prevent abit shift from being mistaken for another valid code, an offset word is added (modulo 2) to thechecksum bits before they are transmitted (see Table 2). Table 2: Offset Words7 Offset Word d9d8d7d6d5d4d3d2d1d0 A 0011111100 B 0110011000 C 0101101000 C' 1101010000 D 0110110100 E
on the class, an ABA research design was employed. ENSC 2613 retained most of itstraditional techniques, during Module A, and added a development-based section between thefirst and second midterm exams. This new development-based segment, referred to as ModuleB, was created by a joint effort of an experienced professor and a team of undergraduate andgraduate students researching the developmental model and its classroom implementation.Module B encompassed a section of an entirely development-based methodology to be comparedwith the lecture-based “traditional” approach.The following section explains the course structure before the experimental phase conductedduring the fall of 2006. It essentially describes the methodology (called
Synchronized Multimedia Lectures Using Video and PowerPoint,” Proceedings of the 2004 ASEE Annual Conference and Exposition. 5. Duch, B., S. Groh, and D. Allen, The Power of Problem-Based Learning, Stylus Publishing, VA, 2001. 6. GenevaLogic Company, Beaverton, OR 97006. 7. Young, J.R., “Hybrid teaching seeks to end the divide between traditional and online instruction,” Chronicle of Higher Education, vol. 48, 2002, pp. A33–A34. 8. Azemi, A., “Enhancement of Traditional and Distance Learning through Hybrid e-learning Approach,” Proceedings of the 2008 ASEE Annual Conference and Exposition. 9. Saba Software Inc., Redwood Shores, CA 94065. 10. ANGEL Learning, Indianapolis, IN 46278
above never terminates. The Mandelbrot set has anumber of interesting mathematical properties which make it fascinating to view on-screen. Theaddition to the display of color bands determined by the levels of the step function f makes forsome truly breathtaking views.Ultimately the students were expected to (a) associate with each pixel in a window somecomplex number c, (b) compute for each pixel, and (c) color the pixel in a specific fashionto indicate the value of . It is step (b) that makes this a heavily compute-bound problem,and it is the fact that all these computations are completely independent that makes this a highlypartitionable problem
inspection the surfacce of the meetalsappearedd to show thee same type of o reaction, but b with bettter film unifformity than the powdermethod.The two sulfiding meethods (powder and vapo or) were commpatible withh the micro--scale memriistorfabricatio on. The limittation of these two meth hods was the sample sizee. In the casee of micro-sccale on, a 4-inch diameter waafer would be the standarrd size. The powder andd vapor methhodsfabricatiowere imp practical for the 4-inch diameter d waffer scale. Annother reducttion method explored waas thewet chemmical bath prrocedure. Th his method in
). There were 767 male and 78 femalestudents in the study.Since some students take advanced placement (AP) exams in their pre-college academic careers,it was necessary to create a grade map so the model would function properly. Table 2 providesdetails on the grade map used in the model. The column, “Letter Grade Used in Model”provides the letter grade, input as ordinal data into the model. The column “Mapped Grades”provides how non-standard grades mapped to the ordinal data in the model.Table 2. Mapping of letter grades used in the ordinal model. TA = “Transfer A”, TB = “Transfer B”, AP4 = “ascore of 4 on the AP exam”, TC = “Transfer C”, “CE = C Equivalent”, “AP3 = “a score of 3 on the AP exam”, TD =“Transfer D”, TF = “Transfer F”, W = “Withdraw
assessment process as described by Colella2 and diagramed in Figure1. The assessment process shown in Figure 1 illustrates the key elements of the assessmentprocess which include (a) department review, (b) program review and (c) end of course review(EOCR). Note this process involves the stakeholders such as students, alumni, graduatingseniors, and faculty and addresses the appropriate ABET criteria. Note that this process is not Page 26.1420.2confined to a single program, but when appropriate reaches out to assist other programs anddepartments for mutual benefits. Particularly noteworthy is when the outcomes of one courseimpact another. A similar
Evaluation of the CRCD experiences was prepared in consultation withour Assessment and Evaluation expert from the Education Department. This rubric is included inAppendix B. As it can be seen, from the rubric, the CRCD Board members were asked to assessthree important elements of the CRCD experience, that is, (a) The knowledge transfer in theMachine Learning I course, (b) the process of knowledge transfer in the Machine Learning IIclass, (c) the CRCD dissemination potential, and (d) the CRCD approach to evaluate theproject’s success.4. CRCD PreliminariesAt the beginning of the CRCD Symposium, we presented, in brief, to all the CRCD AdvisoryBoard members an outline of the CRCD project. In particular, we presented information aboutthe CRCD’s goals
as a ground) may be implemented in the demonstration to measure leadI ECG, as shown in Figure 2 (b). The circuit can be easily modified if other frontal leads, e.g., leadII, leadIII, of ECG are desired. It is also possible to use a BNC Tconnector to display the output signal on an oscilloscope as well as the computer. A photograph of the circuit setup is shown in Figure 2 (c). (a) (b) (c) Figure 2: (a) Measurement Computing USB A/D converter; (b) ECG acquisition system setup; and (c) a photograph of the ECG biopotential circuit with connections to the A/D converter. With successful implementation of a prototype
. Page 14.807.10Appendix1: Pre-project test / Post-project testABET Learning Outcomes: a, b1. Write a behavioral VHDL code for the T flip-flop. (Course Objective 1)2. (a) Design a 3-bit ripple counter using 3 T flip-flops. (Pre-requisite knowledge)(b) Write a structural VHDL code of the above counter, with parallel loading capability.ABET Learning Outcomes: a, h3. (a) Briefly discuss a possible application of the counter in either a scientific computing, or abioinformatics processing unit, or a signal processing hardware. (Course Objective 3)(b) Discuss the impact of dedicated hardware processing on the application areas listed above.(Course Objective 3)ABET Learning Outcomes: c, e4. A digital filter is implemented by the following transfer
point adder that synthesizes well. The behavioralmodel is algorithmic and readily understandable. However, it would not synthesize well.The dataflow model follows a design that does not quite have a one-to-onecorrespondence with the logic generated from synthesis but is close. ----------------------------------------------------------------- library ieee; use ieee.std_logic_1164.all; use WORK.fpa_support.all; entity fpa is PORT (A,B : IN std_logic_vector (31 downto 0); latch, drive: IN std_ulogic; C : OUT std_logic_vector (31 downto 0)); end fpa
(EAS) 101 – served as the cornerstone along with one or twoadditional courses which were more discipline specific. In ECE these two courses coveredintroduction to programming and digital logic, with the former taught by the Computer Science(CS) department and the latter by ECE.There were a number of reasons why we decided to redesign our undergraduate curricula.Through our own assessment and feedback from employers and alumni, several programmaticissues were identified: a) insufficient programming skills, b) introduction to design only inupper-division courses, c) weak communication skills. At the same time, many schools acrossthe United States were reducing the credit load in Electrical Engineering (EE) to 180 credits, andwe had started
Criterion 3: a-k to Criterion 3: 1-7 is available at the ABET web site[13]. A quick look at the table shows that (a) and (b) are embodied in (1) while (f), (h), and (j)are embodied in (4). There are similarities between (b) and (6), (c) and (2), (d) and (5), (g) and(3), (i) and (7), while (k) is implied in (1), (2), and (6).This paper focuses on the new EAC general criteria by providing an overview of the changes andpresenting an assessment approach to ensure a successful implementation.Basics of ABET Accreditation with a Focus on Recent changesThis section summarizes the new EAC criteria and provides brief comments.Students (Criterion 1) – Students are the major focus of accreditation and everything revolvesaround them. This criterion involves a
) shows the overall grade, (b) show an example of a correct response, (c) shows a gradedopen-response question with included instructor feedback, and (d) shows an incorrect responsethat includes the correst response marked. This feature is especially beneficial for providingstudents formative assessment information.A key benefit of this system is that a professor can administer assessments unique to each studentin a course and quickly return the graded, corrected forms as an email attachment. Providingstudents individually unique assessments is a simple method to help minimize the opportunities (a) (b) (c) (d