Paper ID #241872018 ASEE Zone IV Conference: Boulder, Colorado Mar 25Development of Laboratory Experiments for Protection and Automation inMicrogrid Power SystemsMr. Eric Osborn, California Polytechnic State University, San Luis Obispo Eric is an electrical engineering graduate student at Cal Poly San Luis Obispo, with a concentration in power systems. His thesis focuses on creating laboratory-scale power system protection and automation experiments for students.Dr. Ali O. Shaban, California Polytechnic State University, San Luis Obispo Professor Shaban received his Ph.D. degree in Electrical Engineering from Oregon State
Paper ID #242882018 ASEE Zone IV Conference: Boulder, Colorado Mar 25Simple Student-Built IQ Modulator/Demodulators for Wireless Communica-tion Laboratory Digital Communication Link DemonstrationsDr. Dennis Derickson, California Polytechnic State University, San Luis Obispo Dennis Derickson is the department chair of Electrical Engineering at California Polytechnic State Uni- versity. He received his Ph.D. , MS, and BS in electrical engineering from the University of California at Santa Barbara, the University of Wisconsin and South Dakota State respectively. He got his start in Electrical Engineering by getting his amateur radio
Paper ID #241882018 ASEE Zone IV Conference: Boulder, Colorado Mar 25Using Mobile Devices to Improve Engineering Education: A Process ControlLaboratory ExampleDr. Shellee Dyer, Metro State of Denver c American Society for Engineering Education, 2018Using Mobile Devices to Improve Engineering Education: A Process Control Laboratory Example Shellee Dyer and Julio Proano Department of Engineering and Engineering Technology, Metropolitan State University of Denver Denver, CO sdyer10
applications in engineering. Solving these realisticproblems helps students to enhance their conceptual understanding and motivate them to furtherpursue their learning in the use of statistics. This paper presents in detail several interestingproblems related to different uses of statistics, and how they are linked to convey the message oftargeted course objectives. Furthermore, this paper explains the details of such a teachingmethodology and addresses the educational outcomes obtained in our Laboratory Analysiscourse. This paper also discusses a series of problems that are currently used at our institution tohelp the students apply what they learn in the course. Properly integrating such a teachingmethodology in the curriculum to optimize students
drawn.Previous WorkIn general, the importance of hands-on laboratory experiences in engineering education isemphasized in many learning theories. For example, according to “Kolb’s Experiential LearningCycle1” students learn best if they follow a cycle (or a spiral) consisting of four steps (axes):experiencing (concrete experience), watching (reflective observation), thinking/modeling (abstractconceptualization), and applying/doing (active experimentation). Within the context of activerobotic experimentation, both reflective observation and active experimentation are claimed asessential parts of the learning process. Kolb’s learning cycle has been used in many engineeringeducation programs such as civil2-4, mechanical4, chemical2, 3, 5, industrial6
education, embedded systems, and ecological monitoring.Dr. Fred W DePiero, California Polytechnic State University, San Luis Obispo Dr. Fred DePiero received his B.S. and M.S. degrees in Electrical Engineering from Michigan State Uni- versity in 1985 and 1987. He then worked as a Development Associate at Oak Ridge National Laboratory until 1993. While there he was involved in a variety of real-time image processing projects and several laser-based ranging systems. Fred began working on his Ph.D. at the University of Tennessee while still at ORNL, and completed it in May 1996. Fred joined the faculty at CalPoly in September of 1996. He has developed CATE, the Circuit Analysis Tool for Education. Fred continues to pursue
mechanical engineering that began fall 2014.Dr. John William Bridge P.E., University of Washington, Bothell Dr. John Bridge, P.E. Dr. Bridge is a former Lt. Colonel and mechanical engineer in the U.S. Air Force with over twenty years of R&D experience with numerous aerospace vehicles to include aircraft and rocket systems. In addition, he has performed advanced materials characterization while in the mil- itary and at Lawrence Livermore National Laboratory. He has previous teaching experience at several institutions to include Bowdoin College, the U.S. Air Force Academy, and the U.S. Military Academy at West Point. Dr. Bridge is currently working with composite materials used in synthetic sports surfaces to include
conducting research on innovative tools for engineering education in the Intelligent Structural Hazards Mitigation Laboratory at SFSU with Prof. Zhaoshuo Jiang, he also serves the community as the President of the American Society of Civil Engineers for the SFSU chapter.Dr. Amelito G Enriquez, Canada College Amelito Enriquez is a professor of Engineering and Mathematics at Ca˜nada College in Redwood City, CA. He received a BS in Geodetic Engineering from the University of the Philippines, his MS in Geode- tic Science from the Ohio State University, and his PhD in Mechanical Engineering from the University of California, Irvine. His research interests include technology-enhanced instruction and increasing the
in a laboratory setting with a format thatclosely resembles a flipped classroom. The sections met for two hours, three times per week, forten weeks. Class meetings comprised of short lectures to answer questions, outline the currenttopics, and introduce experiments. Although we provided few video lectures, the lab experimentsand assigned programming problems required a significant amount of time outside of class tocomplete. Our format thus falls into the board category of the flipped classroom1.The lab component of the course consisted of ten experiments. Seven experiments involve themodeling of the RAT MCU and synthesizing it onto an FPGA-based development board; threeexperiments involve programming the RAT MCU to solve given problems. Each
University. Her teaching experience includes Basic and Intermediate Fluids, Basic and Intermediate Dy- namics, Statics, Machine Design, and Thermal Measurements.Dr. Brian P. Self, California Polytechnic State University, San Luis Obispo Brian Self obtained his B.S. and M.S. degrees in Engineering Mechanics from Virginia Tech, and his Ph.D. in Bioengineering from the University of Utah. He worked in the Air Force Research Laboratories before teaching at the U.S. Air Force Academy for seven years. Brian has taught in the Mechanical Engineering Department at Cal Poly, San Luis Obispo since 2006. During the 2011-2012 academic year he participated in a professor exchange, teaching at the Munich University of Applied Sciences. His
third part of the course introduced students tocomputer numerically controlled (CNC) machining concepts and code generation using freecommercial packages. Lastly, the Heat Transfer course included combustion, the three basic heattransfer modes and heat exchangers. All courses taught were in lecture format, recitations and laboratory. While the lecturespresented key concepts, numerical problems were solved in recitations, and the laboratoryportion increased students’ hands on capabilities, and understanding of theoretical conceptsdeveloped in lectures. To help with problem solving techniques, visualization and computationalskills, students were introduced to a short module on introductory Excel as a computational tool.The concepts
benefits of research opportunities for undergraduate students includingincreased student engagement in their education [1-3], enhanced research and laboratory skills,improved academic performance [1-5], increased student self-efficacy [6,7], and increasedunderstanding and interest for their discipline [1-4,8]. These studies also show that early andmultiple exposures to undergraduate research experiences offer the greatest benefit. Developingsuccessful research programs is particularly challenging in community colleges, most of whichdo not have on-going research programs. Establishing collaborations between researchuniversities and community colleges is key to engaging students in research early in college.In 2015, Cañada College, a federally
, he was a science educator at Biological Sciences Curriculum Study (BSCS). Dr. Spiegel also served as Director of Research & Development for a multimedia development company and as founding Director of the Center for Integrating Research & Learning (CIRL) at the National High Magnetic Field Laboratory, Florida State University. Under Dr. Spiegel’s leadership, the CIRL matured into a thriving Center recognized as one of the leading National Science Foundation Laboratories for activities to pro- mote science, mathematics, and technology (STEM) education. While at Florida State University, Dr. Spiegel also directed an award winning teacher enhancement program for middle grades science teachers, entitled
students in engineering to conduct leading edge research athigher education research laboratories. This paper covers the summer 2017 Electrical andComputer Engineering (ECE) research project. The research project consisted of four communitycollege interns, a graduate mentor, and faculty advisor from the sponsoring four-year universityto design a real-time live digit recognition system (RTLDRS) using Nvidia’s Tx1 in theBioelectronic Research Laboratory.The 2017 summer ECE project aimed to develop a robust fast training neural network (NN) forlive digit recognition utilizing industry standard deep learning software. The NN model would beimported to Nvidia’s Jetson Tx1 for real time live digit recognition (RTLDR) on the go. Thestudent interns used a
level of preparation and support that may not be feasible to scale to a level accessible to a large number of students. An effective research experience for undergraduate students requires proper definition of a focused research problem, proper training and mentoring. Here we present a summer research program in which we host a selected group of students in a research lab for summer research experience and survey the impact of this experience on their educational outlook. Through a collaboration between a community college focused on education and a 4- year higher education institution offering research opportunities, we have been able to host four undergraduate students from the community college in our research laboratory in
with the culmination of their knowledge how to solve a complexengineering problem. The senior capstone course is divided into two quarters the first one beingthe design phase and the second one being the build. The students are divided into groups of 5 to6 with each group having a different project. What made this group noteworthy is that the scopeof their project went beyond just design and fabrication: They had to prepare a laboratory-styleexperiment to obtain useful data. The students were then required to assess the data in thecontext of ground source heat pump technology. The testing and analysis made this a unique,research-based project which set it apart from many other capstone projects. Students obtainedexposure in both academic and
. 3.81 3.42 0.39I have the ability to integrate theory and practice. 4.00 3.76 0.24I understand how scientists work on real problems. 4.13 3.70 0.43I understand that scientific assertions require supportingevidence. 4.53 4.33 0.20I have the ability to analyze data and other information. 4.25 4.09 0.16I understand science. 4.28 4.12 0.16I have learned about ethical conduct in my field. 3.84 3.97 -0.13I have learned laboratory techniques. 3.78 3.76
algorithm can be efficiently implemented in computer graphics and parallel programming development settings (for example using GLSL shaders and then openCL or CUDA). 3. Reflection. A culminating document is required in the form of a laboratory report. Teams are required to work together to solve the two labs. We ensure collaboration by requiring each student to submit a lab report with students expected to be able to answer questions about any part of the lab by the TA or instructor. Students report computational timings for both implementations (CG and PP) and explanations for the differences in these timings.Section II ResultsTo assess the students, experience with the inter-class collaboration we used an anonymous