project. This paper presents the redesigned labs and courseproject.Laboratory exercisesFive laboratory exercises were completed before the students attempted the course project. Mostof these laboratory exercises create the building blocks for the course project.Lab 1: Basic LabVIEW trainingIn this lab, students first follow the self-paced training material posted on the NI website11 to gothrough eight of the nine modules of Learn LabVIEW: LabVIEW Environment, Loops andExecution Structures, Data Types and Structures, Graphical Programming, Programming Tools,Debugging and Handling Errors, MathScript and Text-Based Programming, and Help WithinLabVIEW. Module 8 (Signal Processing) was skipped since this lab was the first lab of thesemester and
college students work 20 to 30 hours perweek with only 1 of the students not having any part-time position. Seven of these students saidthat they had participated or were participating in a flipped course. All of the students were partof a flipped coursed that was implemented similar to the course of reference.15The first analysis was with respect to the flipped courses. All survey questions can be seen inAppendix A and the students were instructed to mark all of the answers that apply. Thequestions asked were, when do you typically view the online flipped notes and when do you readthe textbook for the flipped course? The available survey response answers were: never, beforethe assigned class, after the assigned class, before starting homework
to render abstract concepts in graphical representations and extractcorrect spatial information from the structures’ drawings. Spatial ability is defined as theprocesses of constructing, maintaining, and manipulating three-dimensional (3D) objects inone’s mind [1, 2, 3] and considered to have multiple subfactors [4, 5] such as spatialvisualization, spatial orientation, and speed rotation [6]. Research studies that discussed theroles of spatial ability in engineering education have primarily focused on the spatialvisualization, which is the main factor of spatial ability [7]. Some widely used spatialvisualization tests in engineering education [8, 9, 10] include the Purdue Spatial VisualizationTest: Rotations (PSVT: R) [11], the Vandenberg
recommendations to update the textbook everysemester. Now in its 11th edition,1 the textbook is significantly easier to read, has far fewertypographical errors, and includes new material the students requested. This paper discusses theprocess of continual improvement and the effects the textbook has had on student success overthe 5 years of its use.IntroductionWithin the last half century, Continual Improvement Processes (CIP) have become part of theculture in manufacturing and service industries. A key part of Kaizen and other CIP methods isto solicit and implement ideas from the employees, rather than from costly outside consultants.2Involving and empowering employees can reinforce a sense of teamwork and improve employeemorale, leading to higher
andconversion, antenna analysis and design with the concepts of bandwidth of digital signals, analog todigital conversion, multiplexing of digital signals, coding, digital modulation, and multiple-accesscommunication techniques.The proposed course emphasizes on design and simulation of digital transmitter and receiver en-gines, which is shown in Figure 1. This approach is very different than the two papers in referencesection[1][2][5][6]. The course brings on the modern digital techniques of packet communication, theover-the-Internet communication and Internet of Things (IoT). The course culminates with a termproject wherein the students select their own topics to build which exposes them to componentavailability and new techniques beyond the
survey, student’s feedback at the end of the class,and instructor’s self-assessment.I. INTRODUCTIONTo control a system in order to get a desired performance has been the longest desire of engineersand planners. The control requirements may be of different kinds: a) to stabilize an unstable system,b) to change the state of a system from one to another, C) to track the output of a system to a knownvariable, and d) to regulate the performance of a system in the face of variable inputs, loading ofoutput, disturbances and external noise. The list is endless depending on the type of application.Learning to control a system requires learning and developing a repertoire of tools for 1. Modeling of systems, 2. Actuation, sensing and transducing 3
transmitterand receiver may be placed on push carts, while for higher mobility they may be placed onuniversity owned golf carts moving at faster speeds on the designated campus routes.Furthermore, mobile transmitters and receivers may also be placed in cars driving on the campusstreets and through the university parking lots/garages to enable experiments simulating vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications.2. IntroductionOver the past 20 years software defined radio (SDR) platforms have become increasinglyconsidered by researchers and educators alike due to their flexibility, reusable hardware forvarious set-ups, open source software, short design cycle and accessibility 1. Hardware prices arewithin the budget of any
order to stimulate and motivate students to master thematerial, which proved to be very successful. It has been observed that new approach improvedthe final scores in the course as well as student satisfaction with this approach of presentingmaterial as well as testing their understanding of the required material. The paper presentsresults from two years of teaching the course with the current approach, along with lessonslearned from this experience.IntroductionTeaching/learning process is an age long human activity of passing knowledge from person toperson [1]. The process has experienced progressive transformation over time as people wereobtaining deeper understanding of the cognitive science [2] and were provided with diverse toolsto perform
questions are detailed.IntroductionCapstone design courses and projects represent the culmination of an engineering or engineeringtechnology undergraduate curriculum; they are a key aspect of a technical education experience.The goal of these courses is to move students away from theory and more towards the practicalproblem solving that they will encounter in industry 1-3. Capstone projects are oftenmultidisciplinary 4, further replicating the types of projects students will experience in industry.Capstone projects can be defined as project-based learning. Project-based learning brings skillsand knowledge together to solve an ill-defined or poorly formed project 5. This is epitome of thecapstone experience. Students generally have their capstone
right in Figure 1-1, the only graded items for the course werefourteen labs constituting 40% of the overall grade and two exams weighted at 30% each.Of the students spoken to, most felt that the graded content and associated weights shouldbe revised because the labs that constitute only 40% of the grade required too much time.Additional comments were that although exams were graded in a generous way, the examquestions were quite a bit more in depth even though time was spent in class going overpotential test questions in the days preceding an exam. Students felt they often did notknow what information the instructor was seeking on the test questions. One studentsuggested graded homework assignments might help students understand the
course as well.Product Planning (Week 1-2): In this phase, design teams are expected to understand theunderlying problem that is intended to be addressed by the final product and develop the projectsmission statement. The mission statement of the project contains the broad description of theproduct, the main assumptions, the key business goals, the primary and secondary markets forthe product, and the main stakeholders of the product. The design teams are cautioned that theproduct description that is created in the product planning phase should only identify theproduct’s basic functions and it should avoid implying any specific concept. The missionstatement serves as the project contract that defines the scope of the project and its
runoff, the top layer of the soil be removed and new soil added.Davis et al. contends the following with regard to rain garden soil design. “Selection of asuitable soil mix and depth includes consideration of a number of different objectives andparameters which include the following: 1. Ability to support and sustain the selected vegetation 2. Ability to dewater the ponded water in 24 Hr. 3. Ability to remove the projected hydrologic and pollutant load; 4. Life cycle and durability of the media; and 5. Media cost.”With this in mind the following amendments should be made to the rain garden. The top 3-4inches of soil must be amended with a mixture of peat moss and top soil and rototilled togetherto ensure that the new plants
and develop a project with real-world engineeringapplication. These projects were presented on the final day of the SEE program, and facultyevaluated the student performances according to specific learning outcomes. A rubric survey wasalso distributed to students in order to assess the program’s effectiveness. The implementationand assessment process of Vaughn’s SEE program based on both faculty and students’ surveyresults will be discussed in the ASEE Annual Conference.Keywords: Freshmen Students, MATLAB, C++, Robotics, Workshops.1. Introduction Many students today enter college lacking the foundation and preparation for academic leveleducation. This lack of college level preparation can have an adverse effect upon studentunderstanding and
UHD’s Garden Club. The as built-system is shown in Figure 1. A computerbased control system monitors soil water availability and turns on/off water valves as the plantneeds dictate using water potential thresholds. The energy required to power the computersystem and sprinkler valves is generated using a combination of solar and wind power.LabVIEW5 is used for data acquisition and control. In order to increase the usability of thegarden and enhance it aesthetically during night time hours, lights were installed along itsperimeter. The lights are powered via a battery bank that is constantly recharged with renewableenergy by photovoltaic cells in conjunction with a wind turbine. The battery also supplies therequired power to operate the control
level rise,keeping forests and other ecosystems in good condition, and minimizing artificially triggeredclimate change [1]. The Royal Academy of Engineering in a report warns “we are exceeding thecapacity of the planet to provide many of the resources we use and to accommodate ouremissions” [2]. These reports underscore an increased societal call for professionals acrossgovernment, industry, business and civil society to be able to solve problems related to climatechange and sustainable development as part of their work [3].Professor Robert Socolow of the Princeton Environmental Institute suggested that a greateremphasis on environmental issues called for a change in engineering education [1]. Lord Broers,President of the Royal Academy of
all of these same programs, orTable 1: Institutions and Programs in This Studyclose equivalents. Table 1 includes each of the institutions included in the study, some basicinformation about each institution, and the programs included in this study. Some of the data was gathered from the institutions’ websites, but most was gatheredthrough personal visits with the heads or a faculty member in each of these programs. The visitswere conducted in the summer of 2016, and consisted of going over a list of questions (samequestions for each institution and program), taking notes on the responses, and compiling theinformation into some organized findings.FindingsEnrollment It was found that enrollment was not a consistent theme across all
“desire to work and learn” [1, p. 5]. While thisoperational definition is concise, it may not have been intended to fully describe the complexityof factors that affect student motivation. In Clark’s [2] work on goal commitment and effort, hecites two complementary definitions: 1) motivation is “…the process whereby goal-directedactivity is instigated and sustained” [3, p. 4]; and 2) “…the amount and quality of the ‘mentaleffort’ people invest in achieving goals” [2, p. 2], which was borrowed from the work ofBandura [4] and Salomon [5]. Furthermore, Pintrich, Marx, and Boyle [6] indicated valuechoices, expectancy beliefs, and meta-cognition as three major factors of student motivation. Intheir motivation-cognition model, value choices are
University, Erie, PA(8/12 - 8/14) Associate Professor, Engineering Tech. Department Com. College of Allegheny County, Pittsburgh, PA (8/10 - 8/12) Visiting Research Assistant Professor, Research on concrete structures retrofitting, Univer- sity of Pittsburgh, PA, USA (1/12 - 8/12) Part Time Professor, Research Assistant, Teaching Assistant, University of Ottawa, Canada (1/04 - 8/10) Part-Time Lecturer, University of Water and power technology, Tehran, Iran (8/99 - 8/01) Engineering Experience Consulting engineer, Structural, concrete & Geotechnical, Achievement Eng. Corp., CA (PT 04/10- Current) Professional Structural Building Design, in collaboration with R. Muhammad, Tallahassee, FL (PT Since 9/15) Project
DNP3 over TCP/IP. Sincethe protocols under study (MODBUS. DNP3) are being carried over TCP packets in theseexamples; it becomes easier to debug them. Errors in packet formation etc. will not hampertransportation from one device to another.Figure 1 DNP3 Protocol Layers (IEEE 1815)DNP3 is predominantly used in the electric utility industry. As shown in Figure 1 it is a 3 layerprotocol (User Layer not counted). It carries information about power systems and transmissionparameters like voltage levels, power levels etc. Since inception in the 1990s andstandardization by the IEEE in 2009 (“IEEE SA - 1815-2012 - IEEE Standard for Electric PowerSystems Communications-Distributed Network Protocol (DNP3),” 2016), there have beenFigure 1various exploits
time. But on the average, the class lectures anddiscussions, may last about 30 minutes to 1 hour in a 2-hour lecture period. To reinforcedmaterials covered in the videos and the class lectures, the students work in teams consisting ofthree to four students per team on questions and calculations problems on the topic underconsideration.A unique feature of the flipped classroom is the videos used in this process. They were off-the-shelf videos obtained from different sources. This is important because Schmidt and Ralph6observed that “the most successful flipped classrooms report that they utilize videos of the content that they have gotten from a variety of places. By obtaining videos from other sources the students indicate
Paper ID #19431Monitoring 3D Printer Performance using Internet of Things (IoT) Applica-tionDr. Shuning Li, Indiana University-Purdue University Indianapolis Education: Ph.D. in Mechanical Engineering Research Interests: 1. Systems Engineering and Product Lifecycle Management More than 4 years of consulting experiences for different industries to optimized and standardized design and development workflow, and implement enterprise level information systems like PLM. 2. Medical Image Processing Focusing on medical image processing for dental applications. Involved in several clinical studies and developed a novel surface
experimental methods in the Mechanical EngineeringDepartment at The University of Texas San Antonio. Presently, it is being employed in abachelor’s level course in the Mechanical Engineering Technology program at the University ofNew Hampshire at Manchester.Key aspects of experimental testing that can be studied using this experiment include: 1. Pre-test assessment of experimental uncertainty and planning of test to meet uncertainty goals. 2. Practice in executing tests and developing an appreciation for unanticipated circumstances that can compromise the quality of the results. 3. Post-test analysis to see if the quality of the data is consistent with that was anticipated in the pre-test phase.These are the principal aspects of
data (i.e. scaledresponses) was analyzed by common statistical software and methods (i.e. frequency, mean,standard deviation, etc.). Results of the study show that the primary factor cited by students inchoosing a major was interest in the discipline-specific subject matter. It was also found thatmost students associate technology majors with the process of design. These findings can beused by technology programs to re-design recruitment efforts in a manner that addresses theuncertainty and misconceptions held by incoming students. Thus helping them to better aligntheir aspirations and interests for the future with an academic major.Introduction:In response to documented demand for engineering and technology graduates [1], a variety ofstudies
range of practical and theoretical approaches. PBLinstructors embrace this diversity and foster an environment that is much more productive andcapable that a single program experience could offer. The PBL sequence will be describedincluding course content and project work that concurrently addresses the ABET 7 criteria forETAC and EAC accreditation. Lessons that have been learned will be shared for other schoolshoping to create a similar curricular experience.IntroductionProject Based Learning (PBL) 1 makes use of active learning techniques to create a studentdriven learning environment. The role of the instructor is to guide the students as they learnwhile doing project work. Projects are selected or screened to have real outcomes that
. Freshman Fall Cr Junior Fall CrCMST103 Computing Principles 3 CMST383 Prog & Data Struct Studio 6CMST135 Web Fundamentals 3 MATH205 General Calc & Linear Alg 3CMST183 Computer Sys Studio I 1 ENGL200 Expository Writing II 3CMST100 College Algebra 3 Humanities/Social Science elective 3EDCEP111 University Experience 1 Junior SpringENGL100 Expository Writing I 3 CMST385 Systm & Database Studio 6 Freshman Spring STAT325 Intro to Statistics
class, they havehad rigorous lab experience and skills. This is a core course in both electrical and computerengineering programs taken in the second semester of junior year. The lab course reinforces learningand facilitates interconnecting various topics in this course. The lecture and lab courses are so tightlyintegrated inextricably that only a single letter grade is issued at the end.Table 1 lists the course organization of individual topics into major sections for easier contentdelivery. First three sections introduce the basic architecture and instruction execution inside a real,but simple data computing processor. As the 1st column indicates, the programming language isHCS12 assembly using Code Warrior software. At the beginning it is
number of issues for typical consumers. The firstissue is the amount of time a consumer spends grocery shopping. This includes both the actualtime spent in the store as well as potential return trips to purchase forgotten items. The averagetime spent in a grocery store for a typical consumer is 41 minutes1. Additionally, the averageshopper will go to the grocery store between 1 and 1.5 times per week yielding on averagebetween 35 and 53 hours shopping per year. While standard grocery lists assist with shoppingefficiency and organization, items can still be forgotten or items that may have been previouslypurchased can be purchased again. Such duplicate purchases can cause unused goods to expireand be thrown out contributing to unnecessary food
) with no attemptto incorporate mathematics. For this paper, the students are assumed to be enrolled in middleschool, high school, or college and doing the activities as part of an ongoing class or STEM club.Thermoplastic and thermosetting plasticsPlastics and other polymers consist of materials that have a base molecule, the mer, which is thebase and repeat unit of polymer structure and bonds with many other mers to form a much largerpolymer molecule (Figure 1)6,7. Thermoplastic and thermosetting comprise the two majorcategories of plastic materials. Most of their fundamental differences in properties andperformance result from their chemical structures. Thermoplastics have secondary bonds (vander Waals forces, see Figure 2)8 between molecular
based on our experiences.1. IntroductionAdditive Manufacturing (AM) is an emerging technology that encompasses numerous threedimensional (3D) printing technologies for joining materials layer by layer to make objects from3D computer-aided design (CAD) model data 1, 2. Through AM technology, complex geometricshapes, multi-material and multi-functional parts can be additively manufactured in a singleoperation which is a big advantage over conventional manufacturing processes. Over the pasttwo decades, the intensive research carried out on AM technologies has yielded significantprogress in the development and commercialization of new and innovative AM processes such asFused Deposition Modeling (FDM), selective laser sintering, and other rapid
. In these cases, the pay will be much higher than the average because they are over-qualified. They may be quickly promoted to managerial positions.In the state of Alabama, the Department of Labor published the following employment and wageinformation in November 2016: Table 1. Employment information in the State of Alabama1 Job title Estimated employment Mean Entry Electrical Engineers 5030 $98,083 $64,266 Electronic Engineers, except computer 2110 $107,362 $69,079 Electrical & Electronics Engineering Technicians 2060 $61,142 $39,819Information from other independent sources such