the summer research program questionnaire The opportunity for close interaction with the faculty members was: The opportunity to learn more about other faculty and student projects in addition to my own was: The opportunity to learn more about how to plan for graduate school and careers in electrical engineering, computer engineering was: The opportunity to learn more about general research processes & methods was: The opportunity to learn more about the Cognitive Communications related skills and techniques was: The opportunity to become familiar with the relevant scientific literature for my research project was: The opportunity to learn more about the
develop a sensor placementmethodology for effective fault diagnosis [12],[13],[15],[18]. The proposed framework will bebuilt on the effective independence and sensor computational algorithms that start with allfeasible sensor locations and reach the desired number of locations by eliminating those havingthe least contributions to the fixture faults. The least squares method will be used to identifyfixture faults from measurement data [17]. The proposed project enables the effectiveidentification of multiple fixture faults even in the presence of moderate measurement noise. Thediagnosis of fixture failure in real automotive parts demonstrates the use of the proposedmethodology [14],[16],[20].Experimental plan: The implementation procedure for
benefit from utilizing guest lecturers from the local engineering and computer science community. EGR 300 Introduction to Capstone Project – 1 cr. hr. Preparation for the senior capstone courses in the School of Engineering. Students practice project management tools and techniques and learn about the requirements for senior design projects. Project ideas proposed by clients from the University and the professional community will be discussed and assessed. Additional material is presented on career planning, professionalism and some discipline-specific topics. Students conclude the course by forming a team and preparing a preliminary project proposal. (Prerequisite: Upper-division standing)b) Multi-disciplinary Senior Capstone
HW 2 due 9 Friday MOS transistors and CMOS digital logic HW 3 released Lab 2a: Basic useless box 10 Monday Introduction to Arduino programming; how your code interfaces with the “real world” 11 Wednesday Doing math with logic; how we build computers out of transistors Week 4 12 Friday Introduction to the LED cube; planning and debugging; suggestions for building your cube HW 3 due Lab 2b: Computerized useless box 13 Monday Midterm review Wednesday Midterm (Everything through the end of week 4, including the
desirable for both partners at one institution or inone geographical area. In that case, stating unequivocally that you will not sign unless a partnergets a better deal or putting other offers on the table for direct comparison. Women andminorities will face the usual penalties to bargaining hard (high chance of being perceived ashostile, out-of-place, unreasonable, etc.) and may wish to be a bit more circumspect dependingon their assessment of the decision makers they are negotiating with.Somewhere in the middle, it depends more highly on the relationship and planning for the future.An agreement might be made that the first job would hit the priorities of one partner but thatanother move / change would be guaranteed after tenure or some other time
].Other research efforts show that students also have a lack of confidence, interest and sense ofbelonging [4, 9, 10] in engineering programs. There is evidence that they still struggle withcareer decisions into their fourth year [5]. To have a positive impact on student motivation andproblem-solving skills, these concerns must also be addressed. The sense of belonging, thefeeling of being technically competent and socially comfortable, the ability of students to asktheir own questions, plan their research, analyze their own findings and communicate their ownknowledge enable a more effective and lasting learning [5, 11].This is why active learning methods can increase student retention rates and engagement inengineering programs [12-14]. In these
] would be beneficial in cases inwhich identification of a given misconception is in doubt. Considering this pilot study employedan extremely simplistic purely lexical-level rule-based classifier, the results are very promisingand suggest the planned approach of developing a highly accurate, advanced rule-based classifierencompassing lexical/syntax/semantic driven rules is viable. As a compliment to the rule-basedapproach, this paper also describes a pilot study of the use of BERT (Bidirectional EncoderRepresentations from Transformers) [6], a machine learning approach that has shown tremendouspromise in short-answer grading [7]. I. IntroductionStudent struggles in gateway STEM courses may arise from a variety of factors. Two
was largely positive although a subset found availability of online office hours inadequate. Faculty preparation and support was seen as very important (7% of responses). Several respondents complimented faculty on the efforts they put into preparation, with well- structured materials and timely feedback and responsiveness. Some students (<5% of responses) reported that timely posting of materials, reminders, and clear schedules of activities on Canvas was very helpful. Well-structured materials with clear class notes/presentation decks were important. Clear and consistent lesson plans and clear deadlines on the Canvas LMS made life easier for students.Positive Rapport: 5% of responses
services.Dr. Christian W. Hearn, Weber State University Dr. Hearn is an Assistant Professor in the College of Applied Science and Technology at Weber State Page 26.1743.1 University. He received a Ph.D. in Electrical Engineering from Virginia Tech. He was a member of the Virginia Tech Antenna Group during his plan of study. Before returning to graduate school, Mr. Hearn was a mechanical engineer for the Naval Surface Warfare Center. He is a licensed mechanical engineer in the state of Virginia. c American Society for Engineering Education, 2015
examiningentrepreneurism is to bring in outside speakers who address important elements such asdeveloping a business plan, the role of other professionals in a business, etc. The Clinicsprovide the key vehicle for achieving multidisciplinarity [43]. We seek to broadenparticipation in Clinic projects to include as many other disciplines as possible. ECEstudents are actively managed during their junior and senior years to ensure that they signup for at least one Clinic project sponsored by a different discipline. Future plans call forexpansion to include students from disciplines outside engineering such as ComputerScience, Biochemistry, and Business, to name a few.Another of the unique features of this program is “Engineering Clinic Consultant”. Theseone-credit
for planning and building a rough model out of appropriate materials (particleboard, hardboard, plastic, etc.); and writing a short report on accomplishments and plans. 2. Building all the necessary electronic hardware; developing a MATLAB program to drive the hardware; testing the whole system; and writing a full report on the project.While minimum requirements and specifications are given, students are encouraged to addfeatures for extra credit, such as sound effects, music, or more elaborate displays. A full designreport with commented source code is required, and each team is expected to demonstrate anddiscuss their work with the instructor. A friendly design competition is held on the demonstrationday and teams vote for the
laboratory sessions are spent on the classwide project described above. Theproject is 7 weeks long and proceeds in stages. Each team first produces the sequence diagramsfor their unit, and then implements the sequential control by using a “class standard” ladder logicwith code libraries, moves on to programming an HMI screen for their unit and then startstesting. The students start testing parts of their code by the third week. Week 6 is the big unittest, conducted like a Factory Acceptance Test (FAT) with a published test plan, much like whathappens in a consulting engineering firm’s office before the project is commissioned in the realmanufacturing facility. The seventh week is the test of the inter-unit communication andcoordination, like the
solutions tostudent-defined problems is held in the last week of class. The IoT-based lab includes an accessibledevelopment environment, a structured lab delivery, and a layered learning environment to furtherenhance the retention of students within ECE.We have used qualitative and quantitative measures to evaluate the success of the lab modules.Qualitative measures include anecdotal evidence and student evaluation of the course. The quanti-tative analysis is performed by measuring the improvement of student grades in a follow-on course.Our long-term plans are to disseminate our experience, expand the target audience, and publiclyrelease the lab manuals and supporting documents (link to the labs omitted for the blind reviewprocess).GoalsBelow, we
March 2018 in conjunction with the 2018 ECEDHAconference. A panel of junior professors is planned. Also, more time is allocated to the studentposters to allow for more interaction time with the chairs.We would like to increase the participation of the students in the surveys. During the March2018 conference, we plan to put more emphasis on the value of the survey as an important tool toevaluate the effectiveness of the program and modify it to maximize its value. Although thesurveyed students will most probably not be the direct beneficiaries of the improvements, theirfeedback will benefit future students. Therefore, the survey can be viewed as an opportunity forthe participants to contribute to the cause of improving the diversity of the ECE
/societal problem of Earthatmosphere greenhouse effect and to the growing problem of dwindling water resources. Studentslearn to interpret embedded sensory information (in this case a thermometer) as active part of thetrial and error design process.Figure 1: The overall winner of the mousetrap competition, which surprisingly won bothevents despite the radically opposing event objectives.Other graded course activities attempted to plant the seeds of what can be viewed as SystemsApproach to Engineering. One such example is that of production planning using the EXCELSolver Optimization tool. To many it may seem premature to teach students, most of whom havenot yet finished their calculus courses, about optimization. We noted however that by getting
toidentify specific technological features of 5G networks. For example, some students onlyindicated that that 5G networks would be “faster” or provide more bandwidth, but did notexplain any engineering solutions would make those improvements possible. Students’ thatperformed at a satisfactory and above level pointed to and explained planned features that wouldmake those advancements possible, such as MIMO, the use of millimeter wave frequencies,cognitive radio or the use of femtocells. Additionally, exemplary students displayed the abilityto explain how those features evolved from previous generations. Many were able to makedirect connections between these yet-to-be-realized features some of the techniques and methodsfrom the past we learned in
innovations. For each particular course, these innovative actions (1 – 3 above)require careful planning, investment of resources, and courageous instructors and administrators.The presenting author of this report has been teaching a large service course in ElectricalEngineering (EE) for non-EE majors for many years; his decision to flip it in 2014 was inspiredby a lecture by Eric Mazur on peer instruction Mazur, which included a vivid demonstration ofactive learning in class. In order to free up the lecture time for active learning, the class had to beflipped, or blended. To achieve this goal, all actions (1 – 3 above) had to be taken.Our research questions and our challenges in flipping this course are intertwined. We had tocreate the strategies and
custom made Analog Signal Conditioning Board. The system is enclosed in a box Page 26.66.2with all the ports needed to connect to the Controls Laboratory Experiments. Also, a set of Clanguage libraries with solutions to the most common control problems was developed.To document the project, students delivered a work plan, two progress reports and one finalreport. The work plan specified how each team completed the tasks assigned and included a timeschedule with the activities needed to complete the project. Progress reports were used to assessprogress and allowed the instructor to provide guidance to the teams accordingly. Teamspresented a
methods improves theresults.To date, the instructional approaches described above have been used only by one instructor.Our plan for broader implementation is to incorporate these approaches into an interactivecomputer-based tutorial, so that other instructors can easily assign such work without having toheavily revise their lecture approaches. The interactive tutorial could incorporate simulated or“virtual” laboratory experiments, where students could gain “hands-on” experience related to theideas we are presenting. This tutorial will be incorporated into our existing Circuit Tutorsoftware package,13-15 which we plan to distribute through a textbook publisher at some point toensure its sustainability.6. Conclusions
channel created byBrian Douglas 8 has had a great success in creating videos that supplement a controls course.With almost 7 million views, close to 90,000 subscribers, and a library of over 100 videos (andcounting), this platform and its tremendous success could easily become a great example forothers to follow.The 21-minute YouTube video 9 that is detailed in this paper provides another avenue tosupplement and enhance traditional teaching methods (but not meant to replace them). The targetaudience of the video are engineering students who are either taking or planning to take a basicControl Systems course. By using YouTube as a medium of communication we can reachstudents as well as professors who may decide to adopt part of the activities in
images. Note that in the future our department is planning tooffer an introductory freshman level MATLAB course which should eliminate the needto spend time at the beginning of each course to teach MATLAB.The lecture material, hands-on examples, and in-class computer exercises were blendedtogether to form a unique interactive learning experience. All lectures (delivered viaPowerPoint) contained numerous MATLAB-based examples and students were requiredto experiment with short programs during the presentation. Each class period included alonger computer exercise designed to give the students opportunity to practice thematerial they just learned.The author experimented with two methods of incorporating interactive exercises into theclass. In the
led them all to buy. By the end, only 8 % said they would consider selling it. Page 23.576.9One of the first issues to emerge was that almost no-one in the class used any standardizedprocess to plan, set up, execute and report experiments. Their previous experiences in traditionallab classes had provided this process but it had not been emphasized to the point where it was aroutine sequence of actions. When students work on their own, a more systematic approach isneeded so they were given a sequence adapted from experimental design within capstoneprojects. It has seven stages: purpose, scope, design, approvals, execution, analysis and reportso
is simply not possible toboth lecture on the material and allow students enough time to properly accomplish eachassignment while having access to their instructor. This is the flipped-classroom approachdescribed earlier. As shown in Table 2, each lesson plan falls into one of four categories: lectures(10 lessons), labs (15 lessons), projects (11 lessons) and exams (four lessons). Lecture periodsactually have very little lecture time from the instructor, but instead include live demonstrationsand students working problems at the board or on the computer.During lab days, the instructor generally expands the discussion of the topic in the readingmaterial to tie the material to the real world through a demonstration or examples. The studentsuse
Politcnica de Madrid (UPM). He is a certified Software De- velopment Professional (CSDP) from the IEEE Computer Society. He is Associate Dean for Quality and Strategic Planning in the Computing School of the Universidad Politcnica de Madrid. From this last po- sition, he is in charge of the training for academic staff, the introduction of innovative solutions including new pedagogies, new approaches that improve student learning of technical skills and cultural skills, im- proved methods of blended learning, and others. He works in the open educational resources area. He is leader of an Innovation Group in Education in the UPM. He is Executive Director of the OCW UPM Office and an elected member of the Board of Directors
where we are expected to show compliance by demonstrating we are using our assessment plan. ABET is spending more time reading and evaluating our report than they are giving us to actually implement changes. This process is broken.”The second area is where the shortcoming is not correctable by the program, but can besuccessfully addressed at some higher level within the institution. A comment made by one ofthe two programs reporting a shortcoming in this area was the following: • “Concerns were "Institutional"... mainly lack of institutional support.”The last area is where the shortcoming is outside of the control of both program and institution.Out of the ten responses that could be classified into this category, there
inverting amplifier. Instead of constructing all four Op-ampscircuits on a prototype board, students in the modified lab plan design and assemble the DAC OpAmp circuit using a PCB and construct the other three Op-amp circuits on a prototype board.The learning objective of the DAC circuit portion of the experiment is for the students to haveboth a conceptual and mathematical understanding of the transfer function for a digital to analogconverter. Students are expected to be able to derive the transfer function in a pre-lab exerciseand they are also expected to explain the staircase output in a post-lab question. In a post-labquestion, students are expected to explain how to smooth the staircase-like DAC output
students responsible for the movement and wireless control and command of Mariner during its deployment in the Red Sea. Data Communication Team (CT): A group of three students responsible for data collection from sensors, storage, and wireless transmission to the control center at SNCS.The mechanical structure of Mariner offers limited space for mounting the subsystems developedby the teams and therefore optimization of the designs and meticulous planning for theirplacement on Mariner is crucial in order to preserve Mariner’s equilibrium at about the water-line level. Therefore, communication among teams is as important as communication among theteam members especially in the integration phase. Furthermore, each subsystem needs to
concepts students hold at agiven time, and are commonly used as a pre-course assessment to plan instruction, and as apre/post measure to assess the effectiveness of instruction [45-48].Traditionally, concept inventories are guided by the notion of the assessment triangle, aconceptual framework that includes cognition—what students know; observation—whatevidence we seek about their knowledge; and interpretation—how we interpret the evidenceabout their knowledge. Others expanded this notion into an assessment square focused on clearlydefining the construct of interest, the means to assess the construct, the observation or evidencecollected through that means, and the interpretation of the evidence collected [49, 50]. Theassessment square therefore
GI cooperative learning modelemphasizes learning to solve problems and encourage students' involvement [3], which is appliedto our computer networking class. Specifically, students are divided into groups and get involvedin the planning phase of learning from the beginning, which includes selections of topic andapproaches to conducting their investigation. After selecting a topic or project, students completeit via active-study, e.g., reading textbooks, searching for technical papers, programming, troubleshooting, evaluation, etc.The significance of project-oriented cooperative learning strategy has been explored in electricalpower systems classes [4] [5], but it has not reported any project-oriented instructions in computernetworking. In
something in CFL, it is easy to translate that into C language syntax.However, we cannot completely rule out the possibility that the seemingly encouraging resulthas been obtained purely by chance. Therefore, another experiment is planned for the comingsemester.References1. Roberts, E. “An Overview of MiniJava”, ACM SIGCSE Bulletin 33 (1), 2001, pp. 1-5.2. Brusilovsky, P., Calabrese, E., Hvorecky, J., Kouchnirenko, A., and Miller, P. “Mini-languages: A Way to Learn Programming Principles”, Education and Information Technologies 2 (1), 1997, pp. 65-83.3. Swan, D. “Programming Solutions for the LEGO Mindstorms NXT,” Robot magazine, 2010, p. 8.4. Sattar A., Lorenzen T. “Teach Alice programming to non-majors”, ACM SIGCSE Bulletin 41(2), pp