–Kingsville and Michigan Technological University.In Texas, five graduate students completed their master degree research projects using the Page 11.639.6discrete and finite element modeling simulation and online tools: o Microstructure modeling of asphalt mixture using finite elements o Asphalt mastic modulus prediction using discrete and finite element modeling technique o A simple asphalt pavement overlay model using discrete and finite element modeling technique o Identification of particle location for a discrete element model (EE department). o Development of online pavement
the varying environmental andpressure conditions will be determined using Reverse-Phase High Performance Liquid Chromatography.A schematic of the apparatus is shown in Figure 1. The design consists of an inner and outer housing tomaintain the temperature and relative humidity conditions; pneumatic cylinders to apply the contactpressures; and various instruments and a data acquisition system to calibrate and record systemconditions. The undergraduate authors were heavily involved in the design and documentation(orthographic projection and 3-D CAD drawings) of the housing; sensor selection; and data collectionfor the calibration of the pneumatic system. In what follows we will further describe the instrumentationand data acquisition system, and
of 10.0 while after the course an 7.7 out of 10.0Though the students seem to feel more confident of their ability to implement a digital control algorithmsuccessfully, it will be interesting to see if this methodology is carried over into the execution of their seniorcapstone projects. In addition to the numerical scoring, some students offered the following comments on thequestionnaire form: “I certainly learned how to simulate the C code within an embedded matlab function and the IMPLEMENTING within a C environment” “C code still gives me a little trouble.” “I am confident in my ability to simulate to simulate difference equations after taking this course.” “I now understand this topic better. Any weaknesses lie in my C
, India, and takes active role in conducting workshops, designing course contents as well as various other Mission10X projects in addition to several research activities in various aspects of engineering education. As a technical faculty of Mission10X, she is a certified master trainer for the various training modules of Mission10X for engineering college faculty in INDIA. In addition, she is qualified with the ”Cambridge International Certificate for Teachers and Trainers (CICTT),” Cambridge University, U.K.Dr. Rajshri Jobanputra Rajshri Jobanputra brings with her more than 15 years of experience of teaching, training, and research. Academically qualified with a Ph.D. in philosophy, from Indian Institute of Technology
“Final Experiment” is to give the students a chance to plan, design,conduct and analyze an experiment of their own using appropriate DOE techniques. The contextof the experiment is limited only by the student’s imagination. They may conduct experimentsdirectly connected to their research, a project that they are involved in at work, or they couldconduct a “household” experiment. Students use the knowledge that they have gained byrunning the previous in-class experiments to plan their own experiment. The “Final Experiment”gives them a real taste of everything that goes into planning and conducting an experiment on Page 25.905.6their
expensive.The purpose is to create learning environments that enlarge the concept of remotelaboratories that are currently available both in terms of technology infrastructure andpedagogy.Global description of Lab@Home settingLab@home is mainly composed of two parts: the first represents the cloud area and thesecond shows the distributed user stations over computer networks at several sites. Insome cases laboratory devices are hooked on to the computer. For our experiments, theusers are at three different sites and they collaborate to complete a lab work. The Cloudprovides a networked conferencing environment for the participants through a platformnamed BigBlueButton designed as a result of a project on an open source software [1].The software is
onecategorizes and classifies the data in an orderly manner. VARK is an acronym that stands for Visual, Auditory, Read (includes writing), andKinesthetic sensory modalities that humans employ for learning and processing information.(Fleming and Mills, 1992). If instructors want to accentuate student performance in a particulartopic, or a chosen field of expertise, they have to provide multiple outlets for experimentationand learning exploration. In their paper published in 1992, Fleming and Mills suggested fourcategories that seemed to identify most students’ learning behavior. The author has previouslyworked on a similar project and has presented his initial findings in a paper entitled “Assessmentof Perceptual Modality Styles” at the 2007 ASEE
component to students seeking nanotechnology education whilepreserving the interdisciplinary nature of the field and the audience. The goal of this approach Page 22.468.2was to provide students with fundamental skills which will come in handy in as many directionsas they could possibly go into, within nanotechnology. The course is part of a plan to introducenanotechnology into undergraduate education at GVSU serving engineering and sciencestudents. This plan includes this course and a sequel project based course in nanotechnology, aswell as major components to disseminate nanotechnology education to K-12 students, masterstudents, and the public. The
mentored related senior design projects. He led product development at Targeson, Inc., a start-up company where he developed targeted contrast agents for ultrasound imaging of tumor growth. He earned his and M.S. and Ph.D. in biomedical engineering from the University of Virginia, where his research focused on the molecular mechanisms of blood vessel growth, and he earned his B.S. in chemical engineering from Bucknell University.Michael Senra, Lafayette College Page 24.1073.1 c American Society for Engineering Education, 2014 Screencasts for Enhancing Chemical
by Wright StateUniversity and has had a significant positive impact on the retention rate for underpreparedengineering students10. Studies of students taking ENGR 107 at WSU show that they havesignificant improvement in their math efficacy11. Additionally, WSU STARS will take MATH108 Trigonometry, the prerequisite for the first calculus course required of engineers. Theremainder of the second semester is CHEM 101 Introduction to Chemistry (preparation forcollege chemistry), ENGR 120 Innovation in Design (a project-based introduction to engineeringcourse), and general education credits. After two semesters, students will have completed fourcourses required for graduation, lightening the load in the subsequent four years, while alsopreparing
levelsin the organization. What resulted was a rich first draft of competencies, knowledge, skills,abilities, and traits to be successful at each of the levels of project leader, line manager, middlemanager, and executive manager positions.Career PlanningIt was also realized early on in the WELD phase that the employees needed some career planningguidelines. Draft supervisor and employee guides were developed that outlined theresponsibilities of both employee and the organization in career planning. It is the employee’sresponsibility to take control of their own career and to be proactive in their development,mobility, and advancement. At the same time the organization has the responsibility to provideguidance, resources, and opportunities for
. Previously, Dr. Traum was an assistant professor at the Milwaukee School of Engineering (MSOE), one of the top-ten undergraduate-serving engineering universities in the U.S. Dr. Traum coordinated MSOE’s first crowd-funded senior design project. He also co-founded with students EASENET, a start- up renewable energy company to commercialize waste-to-energy biomass processors. Dr. Traum began his academic career as a founding faculty member in the Mechanical & Energy Engineer- ing Department at the University of North Texas - Denton where he established a successful, externally- funded researcher incubator that trained undergraduates to perform experimental research and encouraged matriculation to graduate school
ethics and engineeringscience(1,2,3,4). MEA research uses open-ended case studies to simulate authentic, real-worldproblems that small teams of students address. As part of a collaborative, large-scale NationalScience Foundation project, this paper describes our first efforts to develop MEAs whichincorporate a laboratory or hands-on component.We will explain more about MEAs momentarily, but first wanted to provide more motivationsfor this specific effort. When teaching thermodynamics on the quarter system, we typicallycover the First and Second Laws of Thermodynamics for both open and closed systems in thirty50-minute class sessions. Due to the rushed nature of this class, there are many fundamentalconcepts which do not get the care and
areas related tovirtual experimentation. The iLabs project is an excellent example of remote instrumentationand experimentation. Typical experimental equipment from Armfield Ltd. is interfaced throughuniversal serial bus (USB) connections with the LabVIEW software package. Students fromaround the world are able to perform experiments remotely using the MIT Chemical Engineeringlabs4. Other efforts are aimed at full virtual experimentation. Burrell et al.5 describes the useand evaluation of a web based virtual experiment designed to replace a conventional “wet lab” inthe Chemical Engineering program. A web interface that mimics the actual experimental setupallows students to collect data for a rotameter calibration. While the data is simulated it
the use of an intermediary software tool, Code Composer Studio to compileand program whereas the Beagleboard interfaces directly with MATLAB. Analysis of theusefulness of the hardware upgrade was carried out by assessing students' acceptance of the DSKversus the Beagleboard-xM in terms of its usefulness and usability over four key laboratoryexperiments: Digital Audio Effects, Touch-Tone Phone, Voice Scrambler-Descrambler, andSampling and Aliasing. The extent to which the two hardware platforms were able tosuccessfully achieve learning outcomes in the course is also presented.IntroductionReal-time signal processing as part of an introductory signal processing course complements in-class lectures by using project-centric and industry hardware
asagitation increases, and for low current density, ultimate strength is directly proportional toagitation and temperature. This is a direct correlation to the learning outcome of demonstratingthe ability to explain and apply fundamental mechanical properties and experimental testing,including failure.The next evidence of achieving the learning objectives includes the correlation of the predictedmechanical properties with measured values based on a limited number of experiments oravailable data. This project was devised to teach students the fundamentals of design ofexperiments for the processing of materials for characterization, and the exercise assessment wasdeemed satisfactory because of the students’ capability to predict the boundary
Baptist College in Gaylord, MI. He enjoys hiking, camping, fishing, and the occasional random research project. Page 15.914.1© American Society for Engineering Education, 2010 New directions in engineering education: The development of a virtual lab course in electronic circuits.Abstract – The development of virtual education satisfying the needs of engineeringeducation is getting increased attention in the current era of Web and virtual technologies.In this paper, we present the rationale, implementation and formative evaluation of avirtual lab environment for an electronic circuits course. The system, which is
the local industry, in this case mainly oil andgas, without the need for overseas migration in order to obtain their education. Given theirdiverse backgrounds and their attendance to a certified Western higher education system,successful graduates will be capable of pursuing engineering projects on the local and globalscale.6Despite the drive of the Regional students to enter engineering disciplines, summaries of industryviews on Regional engineering graduates reveal that they are seen to be especially deficient interms of hands-on experience, team work, and independent critical thinking.7 It is thereforeespecially important to foster any industry links with the students—including the simulation ofday-to-day practice and equipment in order to
paucity of activities in the curriculum that promoteadaptive expertise 9. There is also a documented lack of opportunity for self-learning in mostengineering curricula 12. This work is part of a larger collaborative research project that examinesthe role of contextual exercises on development of adaptive expertise. This particular study aimsto examine the effects of the introduction of a series of contextual exercises on students’performance in a CAD modeling assessment as well as manifestation of adaptive expertise in anadditional modeling exercise. The role of contextual exercise on CAD modeling procedure isalso examined. The paper is organized as follows. The methods are introduced in the nextsection. This is followed by the results from the
technology. They provide students with the tools and conceptualfoundation to understand basic particle/powder technology and fundamental engineeringconcepts. The main focus of this work was pharmaceutical technology but the conceptsintroduced apply to a wide range of industries. The integration of technology modules intotraditional engineering courses is an excellent way to familiarize students with importantindustries and technologies without adding courses to the engineering curriculum.AcknowledgementsThis project has been supported by a National Science Foundation Engineering Research Centergrant, NSF grant #ECC0540855.Bibliography1.Savelski, M.J., Slater, C.S., Del Vecchio, C.A., Kosteleski, A.J., Wilson, S.A., “Development of Problem Sets forK
Activities for Graduate StudentsIn addition, to helping with the first meeting of each semester with hints and advice onsucceeding in engineering at ASU, the graduate students report on internships, research projects,and practices they have learned to make their academic life easier, especially parts of the“Guaranteed 4.0 Plan.”2 This interaction helps the undergraduate students be more likely to takethe advice being given to them.There are two meetings each year that are instructed by the graduate students. Three or fourgraduate students in the program (sometimes some graduate student alumni) give each session ofa meeting titled, “Nuts and Bolts of Applying to Graduate School.” The graduate students areasked to volunteer for at least two of the
. It is achallenge, but we look forward to continued discussion and exploration on this important issue.AcknowledgementThis work was supported by the National Science Foundation’s Research Initiation Grants inEngineering Education under award No. 1137009. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the authors, and do not necessarilyreflect the views of the National Science Foundation. The authors thank Dr. M. David Burghardtand Dr. Sheri Sheppard for their input on this project. They also thank Angela Miller forassistance with data entry. 1. Case, J. et al. 2003. Approaches to
haptic feedback to the user 17 and minimizing simulations which could give studentsthe feel of being in a virtual laboratory instead of an online laboratory.References 1. Trevelyan, J. (2004). "Lessons Learned from 10 Years Experience with Remote Laboratories”. International Conference on Engineering Education and Research “Progress Through Partnership”, Ostrava, ISSN 1562-3580 2. Harjono (2001). Telelabs Project: Online Temperature Control Laboratory. Mechatronics Engineering Honors Thesis. University of Western Australia. 3. Casini M., Prattichizzo D. and Vicino A. (2001). The Automatic Control Telelab: A Remote Control Engineering Laboratory. Proceedings of the 40th IEEE Conference on Decision and Control
of “wake-up word”recognition technology. This tool thus has made research process much more efficient, accurate,and productive.IntroductionThe primary objective of presented work was to develop a speech recognition engine - analysisand testing environment in MATLAB. The problem encountered when working with speechrecognition projects is the fact that the processed data comes in the form of a large collection ofvectors (e.g., matrix) that typically represent energies of a speech sounds at various frequencybands [1]. Developed testing utility is extremely useful because it provides visual representationof various complex parameters represented as patters, vectors or scalars extracted from time-dependent speech signal. In addition, there are
. Install LabVIEW™ from the disk that came with your MyDAQ. Hopefully, you did this before coming to lab today since it takes close to 30 minutes to install. 2. While the install is running or you are just getting ready, go to the National Instruments website (http://www.ni.com/academic/students/learn-labview/) You will want to watch the following videos: a. LabVIEW™ environment Video. b. While Loop Video. c. Recommended: Programming Tools d. Optional: For Loops e. Optional: Case Structures 3. Build your first VI. Open “NI LabVIEW” and then “Create Project” and then a “new VI”. This will open up the “Block Diagram” and “Front Panel” windows. Write a
Electronics and Electric Machines,” IEEE Transactions on Power Systems, vol.20, no.2, pp. 538-547, 2005.7. Erkan Mese, “Project-Oriented Adjustable Speed Motor Drive Course for Undergraduate Curricula,” IEEE Transactions on Education, vol.49, no.2, pp. 236-245, 2006.8. S. A. Shirsavar, Benjamin A. Potter, and Isabel M. L. Ridge, “Three-Phase Machines and Drives-Equipment for a Laboratory-Based Course,” IEEE Transactions on Education, vol.49, no.3, pp. 383-388, 2006.9. Giorgio Rizzoni, Principles and Applications of Electrical Engineering, 5th ed., McGraw Hill, Boston, 2007.10. Robert D. Throne, “Frequency Domain System Identification of One, Two, and Three Degree of Freedom Systems in an Introductory Controls Class,” ASEE Annual
project such as this, the authors did not feelthis additional cost and complexity was warranted.For the assignment development phase, two test variables were swept on two different vehicles.The effect of tire pressure variation on rolling resistance was swept on a 2009 Chevy MalibuHybrid incorporating the belt alternator starter or BAS system. A 2009 Saturn Vue 2-ModeHybrid was used to study the effects of weight addition on the vehicle drag coefficient. The testmatrix is shown in Table 3.Table 3: Experimental test matrix used during the assignment development activities. Tire Pressure (KPa) Weight Addition (kg) 241.3 - Spec Spec
the American Society of Engineering Educationhighly portable tool to high-schools for demonstrations, workshops and educational activities.The high-school students can be introduced to science through this visual tool at an early age.Postgraduate students teaching fluid mechanics classes at universities may have experience withPIV – and this is becoming more and more common. This tool will lead to exchange ofknowledge and experience with PIV and fluid mechanics between the students and theresearchers. Student projects using this tool can also lead to limited collaboration betweenstudents and researchers. Experiments performed by the students using FLOWEXTM can bedisseminated broadly through, presentations to other students in the same
definedas a “design challenge”. Now, you know, then maybe the most challenging one was this scaling exercise, that’s homework nine, where they tried to use all of the knowledge they had in class about what controls the performance. Those are the issues when you make the device smaller… According to Dr. Sanders, this activity not only served as a final project integrating allthe knowledge of the semester, but also it tried to imitate an industry design experience. … so this particular one, sort of integrates all of the knowledge in the course, and kind of explains, this is... if you are going to be a device-development engineer in Intel or something, this is basically what you are going to be doing, trying