Paper ID #13331Difficulties and opportunities when teaching about technological systems inK-12.Dr. Lena B. Gumaelius, KTH Royal Institute of Technology, Stockholm, Sweden Dr Lena Gumaelius has a background as a researcher in Biotechnology, in which field she still teaches undergraduate students at KTH. (Lena got her Master of Science in chemistry 1993 and her PhD in Environmental Microbiology in 2001.) In parallel with her research, she worked for several years with development of experiments for students at House of Science. In 2006 Lena became the director of House of Science, which she remained until 2012. House of
.5. The teaching style presented in this framework is significant in engineering education as it may create a practice-oriented learning environment.6. This framework may be implemented in engineering departments of colleges/universities.(ii) Self-compensation of sensor measurementsTo ensure that data used for classroom demonstration of engineering concepts (or principles)realistically represent measured phenomenon, there is a need to deploy sensors that havecapability for self-compensation of measurement data. In this paper for example, wired/wirelesssensor that incorporates (a) one energy storage component (e.g., temperature/pressure sensors),and (b) two energy storage components (e.g., accelerometers) are considered. To improve the
in the RFP and subsystem definition and training. We could have optedfor a more open start; however, these supports were intended to alleviate the earlier concerns andovercome our time constraint without sacrificing autonomy. Finally, some constructs alreadyexist, such as turbine architecture, which made for a logical division. B. System and Subsystem Detailed DesignThis domain gives motivation for having two dimensions to our analysis to cover bothengineering process and science content and process. ● Engineering processThe wind turbine offered clear subsystems that could be decomposed and tested; based onequipment and time constraints we focused on the blades and generator. We consideredinvolving teams in the design of the gear box
. Page 26.652.4 (a) HPC cluster platform (b) Embedded HPC platform Figure 1 Two HPC platforms Table 2: Key Computing Course InvolvedDept. Courses New Content Enroll.ECE ELEG 3073&3071 Microprocessor Multi-core microprocessor design; 30 Systems Design & lab Task parallelism; Cloud computing; ELEG 4253 Embedded Systems Embedded HPC; Data parallelism; 20 Design Computer Vision CS COMP 1224 Computer Science II Parallel
Specifications (Hands-on): The class is divided into teams of four to six; half theteams are designate Group A and the rest is Group B. Each team is tasked with building a functionalobject (tower, bridge, mechanism). However, Group A designs one object and creates the instructionsfor Group B, and vice versa. Other than the written instructions, no communication is allowedbetween the teams. (The directions will not explain what is being built, only how to build it.) Eachobject is evaluated based on performance, and the teams report on the limitations and benefits ofhaving clear specifications.• Importance of Clear Mission Objectives (Group design): The class is divided into (different
Paper ID #13273Enhancing Systems Engineering Content in Aerospace Courses: CapstoneDesign and Senior Technical ElectivesProf. John Valasek, Texas A&M University John Valasek is Director, Center for Autonomous Vehicles and Sensor Systems (CANVASS), Director, Vehicle Systems & Control Laboratory, Professor of Aerospace Engineering, and member of the Honors Faculty at Texas A&M University. He teaches courses in Aircraft Design, Atmospheric Flight Mechanics, Modern Control of Aerospace Systems, Vehicle Management Systems, and Cockpit Systems & Displays. John created the senior/graduate level course AERO 445
Paper ID #14224Lessons Learned from Team-Teaching a PBL Robotics Course with Multi-Disciplinary Instructors and StudentsDr. Jose M Garcia, Purdue University Biography Dr. Jose Garcia has been involved in several local and statewide recruitment events, where he was able to develop short workshops in fluid power and STEM. He is also working on the development of a new generation of hydraulic components and systems that can operate using environmentally friendlier fluids. Dr. Garcia has plans to actively continue the development of practical teaching tools that bring industry applications to the classroom.Prof. Rick Homkes
, etc. the time seems appropriate for creating a baccalaureate program inSustainable Systems Engineering (SSE) which can form a pipeline of students educated from asystems perspective in sustainable engineering practices that will feed into post graduateprograms, as well as fill a need in government and industry. The baccalaureate SSE will focus onmore general and multidisciplinary areas of sustainable engineering systems to prepare studentsfor future sustainable development challenges. This paper studies three major aspects of thedevelopment of the baccalaureate SSE program at the Metropolitan State University of Denver:(a) Necessity of SSE, (b) Objectives and (c) Curriculum Development.Necessity of the development of sustainable system
willensure that it conforms to educational standards as they transform in the future.References1 “Systems Engineering Handbook: A Guide for System Life Cycle Processes and Activities.” INCOSE SystemsEngineering Handbook, Ver. 3.2.2, INCOSE-TP-2003-002-03.2.2. October 2011.2 Royce, W. W., “Managing The Development of Large Software Systems.” Proceedings from IEEE WESCON,Pages 1-9, August 1970.3 Boehm, B. W., “A Spiral Model of Software Development and Enhancement,” ACM SIGSOFT SoftwareEngineering Notes, Volume 11 Issue 4, Pages 14-24, August 1986.4 Forsberg, K., and Mooz, H. “System Engineering for Faster, Cheaper, Better.” Proceedings of INCOSE 1999,INCOSE, Brighton, 1999.5 Forsberg, K., Mooz, H., and Cotterman, H., “Visualizing Project
. Reliability Engineering and System Safety, 96(6), 679-686. doi:10.1016/j.ress.2010.12.010.7. Walther, J., Kellam, N., Gattie, D., & Schramski, J. (2011). Engineering education as a complex system. European Journal of Engineering Education, 36(6), 521-535. doi:10.1080/03043797.2011.6220388. Steinlicht, C., & Garry, B. (2013). Systems Learning Within the Context of Subject Learning. American Society for Engineering Education, 2013 120th ASEE Annual Conference & Exposition, Atlanta. Retrieved December 20, 2014, from http://www.asee.org/public/conferences/20/papers9. Frank, M. (2012). Engineering systems thinking: Cognitive competencies of successful systems engineers. Procedia Computer Science, 8, 273-278. doi:10.1016
., Legislative Law and Process in a Nutshell. 2nd ed. St. Paul, MN: West Publishing, 1986.Filson, L., The Legislative Drafter's Desk Reference. Congressional Quarterly, Inc., Washington, D.C. 1992.Gross, B. The Legislative Struggle. New York, NY: McGraw-Hill, 1953.Overview of Systems Engineering: http://www.sie.arizona.edu/sysengr/whatis/whatis.html.Juran, J., Juran on Planning for Quality. New York, NY: The Free Press, 1988.Crosby, P., Quality is Free. McGraw-Hill. New York. 1979.Schrunk, D., The Quality Approach to the Science of Laws. Presented at 16th Annual International Deming Research Seminar, New York, February, 2010.Quality of Laws web site: www.qualityoflaws.com.Onishi, A., Futures of global interdependence (FUGI) global modeling system
and software engineering development managementprocess, which is a vast area, and does that in a fast-paced manner, leaving not much room forstudent experimentation with the techniques presented in class. Secondly, the topics covered aregeneric, as they apply for multiple engineering disciplines and the instructor needs to talk about“Activity A” and “Activity B” when presenting the modeling techniques rather than the “design Page 26.639.6the propulsion system” and “design the software control system.” Having said that, the instructordeveloped the course learning outcomes in such a manner to provide the students with thefoundations of the
Paper ID #11232Systems Engineering Approach in Aircraft Design Education; Techniquesand ChallengesProf. Mohammad Sadraey, Daniel Webster College Mohammad H. Sadraey is an Associate Professor in the Engineering School at the Daniel Webster Col- lege, Nashua, New Hampshire, USA. Dr. Sadraey’s main research interests are in aircraft design tech- niques, and design and automatic control of unmanned aircraft. He received his MSc. in Aerospace Engineering in 1995 from RMIT, Melbourne, Australia, and his Ph.D. in Aerospace Engineering from the University of Kansas, Kansas, USA. Dr. Sadraey is a senior member of the American
disposability, environmental compliance, and others. Arrow B depictsrequirements and design criteria being imposed on the design team and Arrow D indicate theteams contributed synthesis effort where need, functions, and requirements are the overarchingconsideration (Arrow C).Design Synthesis (Block 4). To design is to project and propose what might be. Designsynthesis is a creative activity that relies on the knowledge of experts about the state of the art aswell as the state of technology. From this knowledge, a number of feasible design alternativesare fashioned and presented for analysis. Depending upon the phase of the product life cycle, thesynthesis can be in conceptual, preliminary, or in detailed form.The candidate design is driven by both a
Paper ID #13554Integrating Affective Engagement into Systems Engineering EducationDr. Timothy L.J. Ferris, School of Engineering, University of South Australia Timothy Ferris holds the degrees B.E.Hons, B.Th., B.Litt.Hons. Grad.Cert.Ed., and PhD from University of Adelaide, Flinders University, Deakin University, Queensland University of Technology and University of South Australia, all in Australia, respectively. He is a member of the School of Engineering at the University of South Australia. He teaches courses in systems engineering and research methods and supervises several PhD students in systems engineering. He was a
of the So- ciety for Health Systems. He serves on numerous editorial and advisory boards, has received 12 research, teaching, and service awards, and has been principal investigator or co-director in seven research centers totaling over $32 million in funding.Mr. Corey Balint, Healthcare Systems Engineering Institute at Northeastern University Corey Balint, holds both a BS and MS in Industrial Engineering from Northeastern University and cur- rently is a staff healthcare system engineer in the HSyE institute. Current responsibilities include: serving as day-to-day project manager of our AHRQ patient safety center, leading a portfolio of roughly 10 projects at any time, and assisting with senior team projects
, and sustainable engineering applications. Page 26.1161.1 c American Society for Engineering Education, 2015 Model-Based Control Systems with Intermittent Feedback: Conceptualization and Insights for the Teaching and LearningI. IntroductionThe field of engineering education has grown considerably over the past two decades, with themajority of the research focusing on empirical results or statistical studies. Alongside thisgrowth, it is important for researchers to develop increasingly intuitive and useful conceptualmodels for educational processes. In this paper we present a conceptual
Paper ID #11227Exploring Vehicle-to-Vehicle Communications (V2V) in an Electrical Engi-neering Undergraduate ProgramMr. Anthony Ian Smith, Penn State Harrisburg Recent undergraduate student, studying Electeical Engineering Technology at Penn a State Harrisburg.Mr. Fares S. Alromithy, Wayne State University Fares Alromithy is a teaching assistance of electronics engineering at the University of Tabuk, Saudi Arabia.He is currently pursuing his master’s degree in the department of Electrical and Computer En- gineering (ECE) at Wayne State University, MI. Fares received a B.S. degree in Electrical Engineering from Indiana
. He earlier served as Assistant Chair of the Systems Engineering department and helped launch the Masters of Systems Engineering and PhD in Engineering Science and Systems programs at UALR. He has taught a variety of courses in systems and electrical engineering program and written a monograph titled ’Fundamental Engineering Optimization Methods (published by BookBoon.com).’ His research interests include linear systems, biomedical engineering, biomechatronics, and computational intelligence. He is a member of IEEE, IET (UK), ASEE, IASTED, and Sigma Xi (former president of the Sigma Xi Central Arkansas Chapter). More information on Dr. Iqbal is available at syen.ualr.edu/kxiqbal