experimentBackground Data suggest that continuous time signals and systems (CTSS), and its underlyingconcepts, can be difficult for students to grasp. CTSS and Electromagnetics courses at certainuniversities experience drop/failure rates 2-3 times higher than other required courses [1].Likewise, the phenomenon of attenuation and dispersion is only briefly discussed in mostundergraduate Electromagnetic and CTSS textbooks. This paper proposes a new teachingtechnique of simulating and modeling the attenuation and dispersion in a communication cableusing low pass filters. One goal in this paper is to provide a hands-on learning experience for students in orderto reinforce their understanding of attenuation and dispersion. Another is to reinforce
Engineering Education, 2017 Design and Implementation of a Wireless GPS-Based Bicycle Tracking Device for Capstone DesignAbstractThe need to track the locations of bicycles in an Automatic Bicycle Rental System presentsseveral challenges for control, communication, power management, reliability, and security. Thispaper details an effective bicycle-tracking system designed as part of a capstone project thataddresses these challenges. Additionally, a number of student learning outcomes were assessed.1 IntroductionThe Automatic Bicycle Rental System (ABRS) is an engineering capstone design project at YorkCollege of Pennsyvania1. This project was a collaboration of mechanical, computer, andelectrical engineering
organising committee and the technical program committee for numerous international conferences. c American Society for Engineering Education, 2017Design and Implementation of Project-Based Courses on Cutting-EdgeComputer Technologies1. IntroductionIn this paper, we describe the design and implementation of two project-based courses, one onApple iOS application development, and the other on Microsoft Kinect [1] applicationdevelopment, and report the lessons learned in teaching these non-traditional courses. This typeof non-traditional courses on cutting edge computer technologies was pioneered by StanfordUniversity, where they created the first ever iPhone application development course (as CS193P) during the 2009-2010
thirty (30) high-power LEDs asan optical energy source, two 1-watt solar panels as the energy harvesting devices, a fixture foradjusting the solar panel angle, a battery charge controller, voltage and current meters formeasuring power, a variable resistor and switches for measuring the I-V characteristics of thepanel, and a sealed lead-acid battery as energy storage. The overall size of the unit is 21 x 17inches (533.4 x 431.8 mm) and it would be setup at students’ lab stations or on a cart for theinstructor in a class. It would enable any instructor to easily adopt the solar power demonstrationunit as a lab and classroom instrument in their analog circuit courses. This paper includes acomplete wiring diagram, part numbers and vendor lists
)shown in Table 1 shows that the percentages of women receiving BS and PhD degrees in theUSA in Computer (CE), Electrical (EE), and Electrical and Computer Engineering (ECE) arelower than the percentages for engineering as a whole [1]. In fact, the representation of women inthese fields is among the lowest for the 23 fields of engineering studied. For BS degrees, thepercentage of women was 20th for EE, 22nd for ECE, and 23rd for CE. For PhD degrees, thepercentage of women was 17th for EE, 19th for ECE, and 18th for CE Table 1: Degrees awarded to women in USA in 2015 (Source: ASEE) BS PhD
45 Analog Discovery from 2010-2017. Essentially all of these papers report learninggains through the use of these powerful and generally inexpensive platforms. A sampling of thebest of these papers is found in the references [1-18, 21]. One of the most elegant studies hasbeen reported in a series of papers by Ferri et al [7] from Georgia Tech where they added hands-on modules using myDAQs in a variety of courses that previously had no experimentalcomponent. Student performance was compared between the topics addressed this way and thosedone more traditionally without experiments. Students consistently did better on topics in whichexperimentation played a key role. This is the approach that has come to be called ExperimentCentric Pedagogy
course after these theoretical courses, in order toapply the theory that they have already learned. Students can choose the order based on theirlearning style, or simply as their course schedule allows. This dual path adds flexibility to thestudent’s schedules as well as to the department’s teaching schedule.SDR BackgroundDigital radio receivers have been evolving since the 1970s, when they were primarily used fordigital processing only at baseband. The limited sample rates of analog-to-digital converters(ADC) at the time made these receivers quite expensive and therefore, were typically used onlyfor very specialized purposes. In fact, one of those early purposes was the Texas InstrumentsSpeak & Spell [1]. For historical reference, in the
responsibility and the impact of students’ backgrounds in their formation as engineers. c American Society for Engineering Education, 2018 Student Engagement and Industry Readiness in a Systems Exploration, Engineering, and Design Laboratory (SEED Lab)IntroductionLaboratory courses have been a key component of engineering education in the United Statessince the founding of the earliest American engineering schools [1]. Today, well-designedlaboratories in the undergraduate curriculum play a critical role in the development of students'hands-on skills, problem-solving abilities, teamwork skills and analytical thinking while alsodeepening the content learned in lecture-based classes. The primary focus of
Education, 2018Student Engagement Profiles in a Discrete-Time Signals and Systems CourseStudent engagement has received substantial and growing attention in the education researchcommunity [1]. One of the main reasons for the significant interest in student engagement is itspower in predicting academic achievement and other learning outcomes, including social andemotional outcomes [2], [3]. A large number of studies have explored relationships betweenstudent engagement and a wide range of both predictors and outcomes for various populations.Relatively few studies have investigated student engagement specifically in undergraduateengineering courses. For example, one study examined the influence of co-curricular activities onengineering and computer
: (1) a transparent map of thestudent learning processes; (2) evidence of changing perceptions about the flipped classroomacross the course; (3) confirmation of the value of faculty student centered approaches; and (4)the revelation of lessons learned by reflecting students. Recommendations from students willalso be discussed. It should be noted that this paper focuses on the student experience in whatwas generally their first flipped class, and (because they were freshmen) also one of their firstcollege classes.I. IntroductionChanging student demographics and an emerging assessment and accountability in highereducation have resulted in change in the teaching and learning literature about how people learn[5-7]. In 1995, one of the most
sophomore-level electricaland computer engineering course. Historically, engineering courses have been structured with adivision between the theoretical lecture and the applied lab, preventing students from makingclear connections between the two. Today’s students do not find this legacy approach effective[1], [2]. In order to enhance student learning and concept retention in a large electrical andcomputer engineering program, a faculty team is redesigning the sophomore year experienceusing a project-based learning approach. This study describes the work of one instructor teachinga freshman-level course as part of the experience of exploring the full integration of labs andlectures that incorporate industry-level, real-world problems. The questions
instructor taught the course in both quarters covering the sametopics. Both quarters had approximately 120 students enrolled. Four students from the Winterquarter retook the course in the Spring. Surveys were completed by 50 and 78 students in theWinter and Spring quarters, respectively. Table 1 shows the breakdown of students by genderand year in the program.Table 1. The number of students and their college year. Quarter Total Female Male 1st year 2nd year 3rd year 4th+ year Winter 117 15 112 0 13 68 36 Spring 122 18 104 0 17 69 36Course DesignIn the Winter quarter, the instructor lectured
Paper ID #27433Deepen Students’ Understanding of Computer Networking via a Project-orientedCooperative Learning StrategyDr. Guodong Wang, Massachusetts College of Liberal Arts Dr. Guodong Wang is currently an Assistant Professor in the Computer Science Department, Mas- sachusetts College of Liberal Arts (MCLA). His research topics include: (1) Big data transfer in high- speed networks; (2) Future Network Architecture, e.g., Software Defined Networking (SDN); (3) Future Smart Grid Architecture; and (4) Cyber Security in Wireless Sensor Networks (WSN) and Internet of Things (IoT). He has published over 30 research papers
some include the content within their analog circuits sequence.Since digital logic is typically offered in the first or second year of the program and does not havecalculus as a prerequisite, it is a course that usually has high enrollments with varied student preparednesslevels. These factors contribute to increased instructor time spent on helping students that don’t have astrong algebra background.Digital logic is a subject that is more amenable to online instruction compared to other engineeringcourses [1]. Without complex, calculus-based derivations, the foundation of digital logic can beeffectively taught using instructional videos. This characteristic opens opportunities to help strugglingstudents without consuming excessive instructor
integrated into the assessment and accreditation process,these processes must be as seamlessly integrated as much as possible into their dailycommitments, resulting in minimal disruption to their normal operation. For mid-sized liberalarts teaching-focused colleges looking to expand into engineering disciplines, this means thatassessment and accreditation should not impose a daunting additional amount of time investmentfrom faculty. In this paper, we propose a model for accomplishing this while at the time,addressing the cost-effectiveness, efficiency and timeliness of obtaining initial accreditation.II. Timely Accreditation Model Our approach is underpinned by four key principles 1. Target-driven 2. Application of project management
systemcontrollers [1]. Therefore, the course lectures include a significant amount of time presentingmathematical derivations and discussing control theory. Students can easily lose their interest inabstract concepts such as those covered in this course and, consequently, their understanding ofthe course material will not reach the desired level by the end of the course. Active learning hasbeen shown to improve student engagement and increase the depth of theoretical knowledge.Therefore, including hands-on activities would be beneficial in resolving such issues [2,3]. Anadditional motivation to include hands-on projects and demonstrations in our control systemdesign course is that these activities support the attainment of ABET student outcome (6
process.1. IntroductionThe motivation for differentiated instruction (DI) is based on the observation that any classenvironment will consist of learners of different abilities, interests, learning styles and culturalbackgrounds. This implies that learners will respond to instruction differently, and the one-size-fits-all teaching approach, commonly utilized in college classrooms, is less than optimal from thestandpoint of student learning. DI acknowledges the diverse characteristics of the individuallearner by designing learning experiences that are adapted to meet the unique learning needs of astudent with the expectation of improving student success compared to the one-size-fits-allparadigm. In the DI model [1], an instructor can differentiate
this course by analysis of the neuralnetworks model for function approximation project.1. IntroductionIn higher education, especially, in engineering education, all the effort of educators is focused oneducating students to be qualified for their future professions. To achieve these learning outcomesin engineering education, a variety of pedagogical considerations have been implemented andexperimented. There have been a large number of pedagogical efforts proposed and implemented,such as inquiry-based learning (Behrouzi and Kuchma, 2016), project-based learning (Khorbotly,2015; Wang et. al., 2017; Zhao et. al., 2017; Luo, 2015), cooperative learning (Akili, 2012), activelearning (Luo, 2015; Akili, 2014; Oliveira, 2015), divide-and-conquer
accreditation body that accredits programs in the UnitedStates and many countries throughout the world [1]. These programs are accredited under oneof four accreditation commissions: Engineering Technology (ETAC), Engineering (EAC),Computing (CAC), and Applied and Natural Sciences (ANSAC). These commissions differ inseveral accreditation criteria while maintaining a common fundamental theme. Accreditation isassociated with quality education by ensuring that graduates are prepared for professionalpractice or ready for further studies [2, 3]. In addition, graduation from an ABET-accreditedprogram is a requirement for many professional engineering licensing bodies.While the focus in recent years has been on having a continuous improvement process that
benefits of blendingentrepreneurial skills and tendencies with engineering are great. It has even been postulated thatengineers with an entrepreneurial inclination are the core drivers of economic growth in nations[1]. Many programs, both publicly and privately funded, have focused on entrepreneurship or theentrepreneurial mindset (EM) in engineering education. The National Science Foundation’s I-Corps program is one example on the public side, and the Kern Family Foundation’s KEENprogram (Kern Entrepreneurial Engineering Network) is an example on the private side.KEEN is a growing network of over 35 U.S.-based academic institutions with the shared missionof integrating the EM in their undergraduate engineering programs [2]. The focus of KEEN is
topic.Part II: course flow and course contents By the time EE and COE students take the capstone project, both majors must have taken thecore technology related courses as depicted in Table 1 below. They take two physics courses amongsciences followed by a rigorous C programming course along with a basic electric circuits class. Afterthey have taken two more courses in analog and digital electronics, students are eligible to takeembedded systems course which is a precursor to their most important capstone project course. Withthe heavy emphasis on hands-on experience at electrical and computer engineering programs at thisuniversity, each of those courses has a 3-hour lab in addition to having a 3-hour lecture class. By thetime students get to
the flowgraphs discussed in this paper. We briefly present an assessment surveyregarding student preferences for working with SDR systems. Finally, we conclude with asummary of our findings and recommendations for other communication experiments.PreliminariesRecommended Hardware and Development EnvironmentThere is a wide selection of SDR hardware available, with many good choices for the purposespresented herein10. Given the requirements of the projects, the recommended choice is theHackRF One open-source SDR, along with ANT500 antenna11. The HackRF One offers half-duplex transceiver capability, sampling rates up to 20 MSPS, operating frequency of 1 MHz to 6GHz, USB powered connection, SMA RF connection with programmable gain, and
, andmathematical concepts that are hard for many undergraduate engineering students to fullyunderstand [1-4]. Typical pedagogy involves theory with lectures and readings, mathematicalhomework, and exercises with computer simulations. The concepts are difficult for the studentsto visualize. Most students have no conscious personal experience with these phenomena [1-4].At our university, junior level electrical and computer engineering students with the requiredprerequisites of network theory, and multivariable calculus take signals and systems to acquire astrong foundation for advanced courses, such as digital signal processing and feedback controls.This course is a 4 hour lecture, 4 credit course. Problem sets related to these topics wereassigned. However
with the education of undergraduate engineers. In her courses, she employs active learning techniques and project-based learning. Her previous education research, also at Stanford, focused on the role of cultural capital in science education. Her current interests include engi- neering students’ development of social responsibility and the impact of students’ backgrounds in their formation as engineers.Dr. Jessica Mary Smith, Colorado School of Mines Jessica M. Smith is Associate Professor in the Engineering, Design & Society Division at the Colorado School of Mines and Co-Director of Humanitarian Engineering. She is an anthropologist with two major research areas: 1) the sociocultural dynamics of extractive and
, curriculum design, electrical engineering, capstone design1. IntroductionAn alarm was sounded in 2010 by two influential government reports delivering the following twomessages: a) Over 60% of US undergraduate STEM students drop out from their engineeringprograms [1], b) Many US engineering graduates feel unready for engineering practice andeventually leave the engineering field altogether [2]. The challenges posed to engineeringeducation institutes were to find quick solutions how to recruit and retain engineering students andhow to instill in all engineering graduates a sense of pride and a lifelong passion in being engineers.The correlation between low retention of engineering majors and lack of lower divisionengineering coursework was well
PC Encoder meters Switches Buttons Figure 1: Functional diagram of the experimental hardware setup.Simulink models into C and C++ for embedded microcontrollers. In this context, Simulink isused to design and model complex machine control algorithms and translate them into C codeusing the Embedded Coder toolbox.This paper presents the design and implementation of an advanced electric drive laboratory usinga commercial microcontroller development kit and MATLAB Embedded Coder, includinghardware components, laboratory equipment setup, experiment sessions, and prototype testresults. The laboratory is designed for graduate and advanced undergraduate students withmoderate programming skills. Although
and survey questions. Next, this work discusses what resources the students were using forboth individual concepts and across the entire course. This will help instructors understand towhere current students turn when they need help or additional information, as well as providepotentially useful tools to instructors of similar courses. Further insights gained through theanalysis is also shared, both qualitatively and quantitatively, to help prepare students for betterdecision making regarding studying and resources.1 IntroductionStudents have a wealth of resources at their disposable for gaining knowledge and informationpertaining to a class (e.g., lecture notes, books, peers, instructors, the Internet, etc.). Though whenfaced with an
be presentedalong with challenges, lessons learned and the motivation for improvement. We also study andanalyze student perception on these assessments in terms of fairness in content and grading. Theresults are shown in a longitudinal comparison across six semesters.IntroductionBetween 2013 and 2015, the Computer Engineering (CE) curriculum at University of Illinois atUrbana-Champaign went through a significant redesign. Prior to the change, CE students wouldtake a sequence of three introductory courses: 1) introductory to ECE; 2) introductoryprogramming in LC-3 assembly and C; 3) introductory to digital systems. After the curriculumredesign, computer engineering students will only take two introductory courses: 1) introductionto computing
some things LabVIEW had toThe major updates that are happening with our project thathaven’t been done before in other research is how detailed theLabVIEW schematic will be. A full application of connectivitywill be the primary delivery of this project. Most other projectsthat have dealt with connection of LabVIEW to PLC variableshave stopped with just proof of concept, however the final goalof ours is to design the entire system in LabVIEW. As a demoof the proposed system, we are hoping to initially just turn on alight, but move to more complex systems. Our project is tocreate a fully automated simulation of three programs: SiemensTIA Portal “Fig. 1”, Factory IO “Fig. 2”, and LabVIEW “Fig.3”. Siemens TIA Portal is where we write our ladder
as well as in industry [1][5][6]. The reasons for success and failure of projects are well-documented: 57% of projects in the industry fail due to “breakdown in communications”; 39% ofthem fail due to lack of planning, resources, and activities; and 33% of projects fail because of alack of involvement from senior management [12]. Just like in industry, we have seen severalsenior design projects fail due to similar project management related issues. Poor time planning,a dominant team member, one or more team-member not performing, poor communicationwithin the team or with the instructor/sponsor/client/customer, poorly executed project plans (allserial and insufficient parallel activities), and poorly understood critical paths which reduce