for enabling fully online course delivery inengineering; particularly in courses that have significant compute-intensive simulation needs.We also discuss the specifications and compute resource optimizations of cloud server instancesin relation to the class size. The long-term viability of this cloud-based model for onlineinstruction is considered based on the user feedback, added value and cost metrics.Secondly, we present a cloud-based computational platform (called DevCloud from Intel), foruse in heterogeneous computing courses. Knowledge of heterogeneous computing systems hasbeen identified by IEEE Computer Society and ACM as a core learning outcome in computerengineering curricula [1]. The paradigm of heterogeneous computing entails a
required prerequisite knowledgelevel make them less approachable by students. For this reason, the use of research articles ingraduate level courses has been mainly adopted in seminar style courses [1]. The proposedmethod uses these research articles to extend the learning of the students beyond the lecturecontent. The lecture videos provide the basic knowledge on the topic of the article, but the articleadvances to a more detailed part of the weekly topic.Continuous assessment was selected for the course, as it is a versatile method that has been usedin different forms and to a varying extent. Earlier studies in engineering education report severalbenefits from the use of continuous assessment in different disciplines. In chemical
. In fact, there are very few SDR-based courses in the US [1-5,7,8], and these aretypically graduate courses taught by ECE departments with large wireless communicationgroups. As such, these ECE courses tend to focus more on theory, instead of being moresoftware intensive.Course Design and ApproachIn this section we discuss how the course was designed, as well as the hardware and software weused as part of the course. From a high-level point of view, the learning objectives during thesemester were organized into five sequential steps: 1. Learn basic DSP concepts 2. Get hands-on experience with SDRs 3. Learn wireless communications concepts 4. Cover system-level wireless communications analysis/design 5. Get experience
(CBDCom 2020), and the Best Paper Award from the 15th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2020). American c Society for Engineering Education, 2021 Work-in-progress (WIP): Development of a Laboratory Platform for UAV Cybersecurity EducationIntroductionWith the advent of the era of the Internet of Things (IoT), unmanned aerial vehicles (UAVs), alsoknown as unmanned aerial systems (UAS) or drones, have been used to enable a wide variety ofbeneficial applications [1–3]. According to the navigant research [4], it is expected that the globalUAS market would reach 16.2 billion USD by 2024, with rapid growth in
shouldinclude a hands-on component aligned with the theoretical upgrades introduced in the course inthe form of term projects. Such projects can be on a variety of topics, such as smarthome/building, smart meter, smart distribution system, microgrid, communication infrastructure,Distributed energy resources (DERs) (e.g., rooftop solar photovoltaics (PV), wind), electricvehicle (EV), customer engagement, energy generation forecasting, load forecasting, and others.This paper will discuss the details of introducing a new course on smart grids in an electricalengineering technology program, including detailed examples of project selection.1. Introduction Power systems is a core field of electrical engineering technology. Electrical
both weaknesses and strengths of the online version and those revelationshave informed modifications to the online process for future semesters.Introduction – The demand for online classes has been rising rapidly in the past two decadesand has further accelerated recently due to COVID-19. In that timeframe, there have been manyengineering lecture courses converted to online formats with considerable success [1]. Online labcourses for electrical engineering students have also been tried for several decades. The firstonline labs typically have involved performing computer simulations of the electronic circuits,though some have utilized remote control of the test and measurement equipment [2]. In morerecent years, there have been a number of
Program Chairs in the School. We were careful to avoid questions that would elicitstudent responses about specific instructors or specific disciplines. Other than the student’s classstanding, the survey asked for no personally identifying information so students could beconfident that their feedback was anonymous. For this reason and because students take coursestaught by faculty in different disciplines across the School, we did not track students’ majors.Analysis of Numerical ResultsWe received 48 responses, a response rate of approximately 7% of the 720 students in the Schoolof Engineering and Computer Science. Fig. 1 shows the class standing of the surveyrespondents. Students in freshman and sophomore classes represent about 19% of
IEEE and serves as an Associate Editor for International Journal of Electronics American c Society for Engineering Education, 2021 Enhancing Student Learning via Hardware in HomeworkI. Introduction:An important problem that has come up over the years in some engineering programs is the lossof laboratory experiences in favor of more theoretical emphasis in upper division courses. InElectrical Engineering (EE) curriculums, the majority of programs now include laboratory workonly in introductory courses such as circuits and logic design [1]-[3]. Advanced courses such asElectronics II, Communications, and others have lost their labs due to the curriculum changesand the
engineering education is to equip students with appropriate technicalknowledge and skills that are useful for effectively creating solutions to complex real-worldproblems [1], [2]. Students have perceived the introduction of abstract scientific concepts inundergraduate engineering courses such as those that are used in electrical circuit analysis to bedifficult due to their inability to verbalize their knowledge [3], [4]. Apart from the formalinstruction widely used in undergraduate engineering education, instruction calls for innovativeapproaches to teaching electrical circuit courses [5], [6]. The students’ use of fundamentalmathematics to prove key circuit concepts is becoming a helpful tool for them, especially inbridging understanding of circuit
by 19 students there were 28 cases in whichstudents were unable to correctly solve a problem using traditional methods, while in 17 of those28 cases the students were able to do so using the approach outlined in this paper. There were noinstances in which a student was successful using the traditional approach but unsuccessful usingthis new approach. All students received instruction in both methods.IntroductionThe transient (homogeneous) solution of any first-order system with constant parameters isdescribed by the following expression. Ke−t/τ (1)where τ is the time constant associated with the system and K is related to an initial condition. Inthe
originally constructed for in-person student groups to work on their projectseither in pairs or individually. Providing remote access was not originally planned but after themove to remote instruction the laboratory stations were modified to accommodate the newreality.The diagram below shows the layout of the laboratory station equipment required for the remotecourse. The following sections provide descriptions for each of the major components. Figure 1: Laboratory Station ArchitectureThe laboratory plays an important role in this course due to the technologies used in the projectassignments. The workstation computers provide the computation, memory, and storagerequirements needed to build a full, cross-compiled Linux
instructional settings and EE topics.The success of the HBCU ECP project led the group to consider whether or not the scope of thecollaboration could be expanded to include a broader range of topics and participants. As theECP project wound down, the group has been reflecting on what lessons there are to be learnedfrom this experience. First and foremost, the project succeeded because many schools workedtogether as one to collectively improve the learning experiences of their students.What enabled the group to succeed? 1) Experienced faculty trained faculty at schools new topersonal instrumentation at both in-person workshops and regular online meetings. Theexperienced faculty from within the project had worked together previously in the MobileStudio
aims toidentify trends, consensus, and discrepancy amongst high quality studies in the field [1], [2], [3],[4]. SLRs differ from typical ‘narrative’ literature review (borrowing Borrego’s terminology) inthat it employs “transparent, methodical, and reproducible procedures” [1]. SLR is anappropriate technique for addressing our research question because it provides a systematicmethod for selecting and synthesizing the results of high quality studies from a large database.Furthermore, the field of research in pedagogical techniques for teaching introductory circuits ismature enough to warrant such a review, an important criteria for carrying out a successful SLR[1].Writing about SLRs presents semantic challenges which necessitate clarity and
). American c Society for Engineering Education, 2020The Effects of Second-Chance Testing on Learning Outcomes in a First-Year STEM Course in EngineeringIntroductionStudents entering college in an engineering discipline often struggle in their first semesters.While the reasons for their difficulties may vary, it is often the summative course assessments(exams) that serve as the first “wake-up call.” Many under-performing students are suddenlyconvinced to reassess their approach to college-level studies. Increased frequency of assessmenthas been found to improve retention of the learning objectives [1, 2]. In our first-yearengineering course, ECE 110 Introduction to Electronics at the
approach hasbeen used in two sections of a linear circuit analysis course in Fall 2019, and student survey datais presented to show preference for the new method over the usual textbook method. Aninteractive multiple-choice tutorial describing the new method has been integrated into a step-based tutoring system for linear circuit analysis.1. IntroductionElementary linear circuit analysis is one of the most widely taught gateway courses in virtuallyall engineering schools. For example, such a course was taught to 1364 students in 26 classsections in Summer 2019 through Spring 2020 at the author’s institution alone. Such coursesvary in that they may sometimes include topics in electronics or signal processing, but in generalthey tend to cover a well
details in this work. One project’s goal was to identify Soybean (Glycine max)in its Cotyledon (VC) and 1st -5th trifoliate stages, the other project’s goal was to identifyHemp (Cannabis sativa) in its three variations. The databases used in these projects werebuilt from real field images, which contain 9 common weed species. The students’achievement, as well as discovered issues, are assessed and reported in this work. Thestudents’ projects will be further used to support our 1890 Land Grant and CBG research.1. IntroductionIn recent years, artificial intelligence (AI) has become one of the most intriguing researchtopics in the world. As one of the most successful AI structures, deep learning was appliedto various fields including computer vision
inventoryIntroductionEngineering core concepts do not necessarily change in time, yet innovations in accessing,capturing, and assessing mental models of learners are needed to guarantee that pedagogicalapproaches align with the learners’ current understanding [1]–[3]. Abstract concepts such aselectricity require varied approaches that effectively facilitate both teaching and learning [3].According to the theoretical framework of conceptual change, students’ role in navigating andlearning these difficult concepts should include extensive engagement in the construction of theirown knowledge and skills, i.e., with the help of multiple and effective approaches to the designof learning environments where students are exposed to [4], with particular focus on properassessment
technique called “Moats and Bridges” frompublished research in the computer architecture security community [1].FPGA logic blocks are capable of attacking co-resident logic blocks via side-channel attacks toreveal the inner-workings of the victim logic, as demonstrated in existing research in thecommunity. The “Moats and Bridges” technique changes the synthesis process and providesisolation to logic modules. The synthesis process could otherwise lead to placement of logicblocks that breeds vulnerabilities and back channels. The work-in-progress discussed here willprimarily focus on understanding and implementing the Moats and Bridges techniques andtechnology. Through the research, the activities provided insight towards the more
purpose of this work-in-progress paper is to present our methodology forfeedback from the community, our preliminary results from the initial Fall 2019 data, and to start a larger conversationabout the importance of studying conceptual understanding from a longitudinal perspective.1 IntroductionThis work-in-progress paper outlines our planned study of students’ conceptual understanding of signals and systems.Signals and systems (SS) is the focus of an electrical engineering (EE) science course at most universities, and topicsin SS, such as filtering and Fourier transforms, are fundamental to control theory, signal processing, and machinelearning. Despite the importance educators place on SS concepts, previous studies have shown that students
. Thispaper shares two examples of the applied circuits homework exercises, the task design philosophyand student responses to feedback surveys.1 Introduction and BackgroundMany engineering students who are not electrical engineers will take a course in electric circuitsduring their undergraduate degree. For mechanical engineering students, this is often aprerequisite for mechatronics or robotics courses, for biomedical engineers it may be followed bystudy in medical instrumentation 1 and it is the final exposure to electrical phenomena in collegefor most civil engineers. Many of these students believe their circuits course is irrelevant to theirchosen path of study, that they need only concern themselves with the world of pounds and feet,and never
. American c Society for Engineering Education, 2020 Building Community, Providing Scholarships, Developing Leaders: Recruiting and Retaining Underrepresented Students in Engineering and Computer Engineering Departments (WIP) The underrepresentation of women and people of color in engineering is welldocumented in the literature [1]. Women constitute 47% of the overall workforce but only 28%of jobs in science and engineering belong to women. This deficit is particularly noticeable in thefields of computer science and engineering as women comprise just 26% of the computer scienceworkforce and hold only 15% of engineering positions. This gender divide begins to emerge atthe
hasdeveloped a set of experiments based on a robotic arm in [1]. However, the robotic arm is costly and mayrequire students to share its usage. As another example, the work in [2] utilizes LEGO Mindstorm robotswhich again is a costly solution. In our institution, while Control Systems is listed as a lab course, the labcomponent of the course consisted of MATLAB and Simulink assignments on designing various controllerssuch as lead-lag and PID controllers. While MATLAB is a very strong tool in teaching control theory andis widely used by numerous instructors, it does not provide the hands-on experience needed to inspirestudents to learn control theory. To address this problem and to give students the opportunity of havinghands-on experiences outside
, utilize converters that are operated in ablack box manner by the students. This causes some difficulty in relating theoretical concepts topractical circuit operation, particularly with switching control where students are unaware of thealgorithms being used. Moreover, the strict safety measures and lengthy instruction-basedexperimental procedures leave little room for independent exploration or trial and error.In Fall 2018, motivated by the many promising reports of incorporating simulations inundergraduate classrooms [1 - 6], we developed LabSim. LabSim is a set of simulation files forvarious switch-mode power converters implemented in Simulink [7] using visual PLECS blocks[8]. The purpose of LabSim is to provide students with an avenue for
this problem has been the introduction of a two-quarter coursesequence in the sophomore year: ECE 211 Introduction to Design Processes and ECE 212Introduction to Project Development. For brevity, we will call this sequence the Cornerstonecourses. We have provided an introduction to these courses in [1], but at that time we were stillin the middle of our first implementation. In this work we will focus on the details of the coursedesign, assessment used, and lessons learned from the first three offerings of the courses.In the following sections we will discuss: I. Overall ECE curriculum at our university (to provide proper context), II. more detailed course learning outcomes and descriptions, III. assessments used and results, and IV
. Problem 1 examined students understanding of theinternal resistance of voltmeter/ammeter and short circuit, shown in Fig.1. Problem 2focused on series/parallel connection, shown in Fig.2. Lastly, Problem 3 focused onohm’s law. Besides, each item also included a confidence rating for student to choosehow confident they felt about the option they chose. The confidence rating scaleranged between 1 (being “Very unsure”) to 5 (being “very sure”).Sample of ProblemsSample 1Conceptual Content: Which circuit is most likely to make thepower supply and ammeter damaged? _______________Confidence Rating Scale: How sure (confident) are you when answering the above question? (Tick the box.) Very unsure Fairly In doubt
underlying goal of this work is to combine thetraditional knowledge-based curriculum with skills-based experiences to broaden students’horizons, while helping them develop transferable knowledge and skills. Skills-based learningalso opens up opportunities for hands-on learning in which experimentation plays a key role –also known as Experiment Centric Pedagogy. This is based on the idea that engineeringeducation should have plenty of activities that enable students to act like engineers.IntroductionEmerging technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Augmentedand Virtual Reality (AR and VR), and Autonomous Vehicles, among many others, haveincreased the global demand for skilled workers [1]. However, recent graduates
spectrum efficiency and cost-effectiveness of wireless systems over the next severaldecades to meet anticipated and unanticipated increases in wireless data capacity.2. BackgroundCISCO Systems’ annual survey [1] indicates continued strong growth in demand for wirelessdata capacity. Meanwhile, undergraduate electrical and computer engineering courses incommunication systems, electromagnetics, and networks tend to emphasize mathematical andtheoretical fundamentals and higher-layer protocols, with less focus on fundamental conceptsthat are more specific to RF wireless systems, including the physical (PHY) and media accesscontrol (MAC) layers of wireless communication systems and networks. An efficient way isneeded to introduce basic RF system and
successfully complete the project, students need to think critically and creatively about howtheir programming skills can create value, not just in a functional game, but one thatcommunicates and educates effectively on a unique issue. Ultimately, this is an engineeringproject, not just a programming task [1].As part of the Kern Entrepreneurial Engineering Network [citation to Engineering Unleashed],Marquette is committed to “Entrepreneurial Mindset” as part of their student mindset.Entrepreneurially Minded Learning is utilized throughout the curriculum. EntrepreneuriallyMinded Learning is not focused specifically on entrepreneurship, but instead on developingmindsets focused on Curiosity, Connections, and Creating Value [2].Literature BackgroundEML
exponential growth in computing power,machine intelligence and data revolution, quantum technologies and materials, there areenormous opportunities to continue advancing fundamental EM theories towards next-generation technology developments and applications.On the other hand, electromagnetics course is considered to be one of the most difficult andheavy mathematics involved courses. Students lacking pre-knowledge of mathematics andphysics complain about not able to follow the course [1]. Traditionally in many engineeringcurricula, the EM course is taught in a standard format using notes and mathematical derivationof equations. As a result, many students find the course difficult and less attractive due to itshighly mathematical and relatively