thesame term.Requirements diagrams are not used; they are inefficient in representing requirements linkages(low density of information). Requirements are instead represented in tables/matrices withappropriate relationships displayed.Tables and MatricesOne of MagicDraw’s strengths is its ability to generate tables and matrices on demand of directand multi-order relationships between elements. Students are shown how to use tables andmatrices to investigate model consistency, completeness, and as a basis for rich self-explorationof a system model.Figure 5: Table of OperationsThis table lists operations from the PRZ-1 model; it also shows the owning block, the definitionof the function, what call operation nodes reference it, and what activity
685mm x 355mm) without propellers 39” x 39” x 14” (990mm x 990mm x 355mm) with propellersWeight: 6 lbs. 14 ½ oz. (3132.5 gr.)Power: 1 kW (Max) 500 watts (Min)Rotors: 4Motors: 22 pole, out runner, brushless, 17 V (Max), 250 watts (Max)Propellers: 14” x 4.7” – Composite 6000 RPM (Max)Battery: 2 x 8000 mAh (C) 4S LiPo 10C (Max)Controller: 2 x Atmel SAM3X8E ARM Cortex-M3 CPU on Arduino Due development board @ 84 MHzWireless: XBee pro 60 mW (802.15.4)Acceptance Test. Since this is a project requiring new technical skills the following acceptancetests were proposed. The student also created videos on the test results and uploaded toYouTube
guidance anddirection for students to generate innovative ideas for their projects.Given CoE’s limited experience in entrepreneurial-minded learning (EML), CoE believes thisteaching approach proved useful tool to engage students in coming up with relevant ideas forprojects and classroom activities that create market value. CoE also believes that thecombination of embedded EML ( [1], [2], [3], [4]) activities and the system engineering processprovide a rewarding learning experience for students. CoE also believes that the system thinkingfound in the entrepreneurial concept aligns well with the system engineering approach for thelast several years in making project ideas become reality ( [5], [6] [7], [8], [9]).Accreditation Board for Engineering
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
step in the design processfrom the perspective of application of system engineering design principles.A generic template for representing the physical system architecture is presented in Fig. 2 [1].This template suggests the creation of a generic partition of six system functions that are [2]: User interface: those functions associated with requesting and obtaining inputs from users, providing feedback that the inputs were received, providing outputs to users, and responding to the queries of those users Input Processing: those functions needed to receive inputs from external interfaces (nonhumans), and other nonhuman system components and to process those inputs to put them into a format needed by the system's
appropriate to the student's field of study c. A general education component that complements the technical content of the curriculum and is consistent with the program and institution objectivesSince the curriculum of the SSE program is still under development, this paper focuses on 1)how the curriculum aligns with the program educational objectives, 2) how the curriculum andits associated prerequisite structure support the attainment of the student outcomes and 3) howthe SSE program meets the requirements in terms of hours and depth of study for each subjectarea.SSE program is a diversified interdisciplinary program. It integrates the fundamental educationalobjectives of Science, Engineering, Business, Political Studies and Communication
Engineering Disciplines Brian Aufderheide1, Otsebele E. Nare1 1 Hampton University, USAAbstractThis is a Work in Progress. Students are taught how to model, write, and solve engineeringequations as part of their typical curriculum. But what is not covered is how to meld theengineering design world with the economic domain needed to be successful in industry. Oneauthor has supervised over 35 industrial design projects, and through his experience found thatwhat industry values most is a detailed Financial Operational Model with clear design andeconomic parameters evaluated through sensitivity analysis. At Hampton University
freshman students within their first week of college.In-Class ActivityIn-class time was devoted to an activity in which students worked on the conceptual design for aquadcopter delivery service that could be used to make deliveries in urban environments. Therewere four breakout sessions within the one hour fifty minute class in which small groups ofstudents worked on the problems of stakeholder identification, customer needs, targetspecifications, and concept generation. Students were asked to limit the design to retrofits toexisting quadcopter platforms (i.e. they assumed that they would retrofit their solution to existingFigure 2: Landing page for the systems engineering unit of the OLI. The systems engineering unithas a more fine-grained set of
integration & test stepsand for motivating students.”1 The following four themes were maintained throughout thiscourse to guide and encourage students in the development process: 1. Physics is activelyopposed to spaceflight, 2. Nothing ever works the first time you put it together, 3. There is neverenough time or money, and 4. Fear [of failure] rules all decisions. They suggest that, ‘Our “fourheuristics of space systems” were a very successful method for engaging the students with thematerial, and can be applied to other parts of the design lifecycle or to other aspects ofengineering.’1 These heuristics were found to be equally applicable in the development of a next-generation ground transportation system, which is the project of interest in
a lifelonglearner. This suggests that the modern engineer is becoming increasingly similar to the systemsengineer and designer, and makes sense considering the growing complexity of our technologicalsystems and manufacturing processes. The need for systems thinking and design thinking isbecoming ever more relevant to modern engineering and the education of the next generation ofengineers must reflect this vital new aspect of modern engineering. Figure 1. Systems thinking vs. Design thinking Systems thinking Design thinking Ability to Take Holistic View
Challenges [1] in which studentsdesigned a solar energy device to benefit people in less developed countries such as Kenya.While participating in the course, the students earned 12 credit hours (4-science elective, 4-technical communications, and 4-engineering elective). [2] Ten total students participated in theprogram with majors ranging from physics to engineering. The program was expected to beespecially popular among a large and growing number of students who want to explore the socialcontributions they can make as scientists, engineers, and emerging entrepreneurs. Secondarily,the program was intended to help improve retention by providing struggling students with hands-on learning opportunities. At the beginning of the course, the class was
the classic Introduction to OperationsResearch, by Churchman, Ackoff, and Arnoff, 1957.5 In that year and with that OR book, it wasyour author’s good fortune to study the subject when a M.S. student at Arkansas. But neither thebook authors, the professor, nor yours truly could perceive what the generic mathematicalconstruct stated in Chapter 1 could become for the unknown field of systems engineering. Page 26.1452.4The mathematical construct referenced in this classic book was E = f (xi, yj), with the explanationthat it was the general form of OR models. It was stated that E represents the effectiveness of thesystem under study, xi the
electronic features on production passenger vehicles such as enhancements to vehicle stability control (VSC), adaptive cruise control (ACC), and other active safety features. He holds four patents and launched Provectus Technical Solutions, LLC, an engineering services company. Dr. Riley has implemented a Vehicle Modeling and Simulation Laboratory (VMSL) and current research interests include autonomous vehicles, sensor fusion, and smart manufacturing American c Society for Engineering Education, 2021 Design and Manufacturability of Medical Ventilators from the Perspective of a Global Automotive Footprint: A First Course Development H
. Ongoing (Available throughout the course of any modeling project) 7. Consistent (All students receive the same feedback) [1].In essence, the rules allow students to benefit from the expertise encoded into them by receivingon-demand, detailed modeling feedback. During the term, students responded well to the use ofthe rules; many of them were able to resolve their errors with minimal assistance and the focus ofthe lab sessions tended to be on more advanced topics. In addition, the time to grade and assessthe teams’ submissions was greatly reduced. Students learned that creating elements triggered acascade of errors until they were documented, traced and/or related, and used properly. Thepresence of defects in the model
clearlyimply a need for engineers to be competent in systems thinking and teamwork/communication,to understand the issues of sustainability, and to work effectively on cross-disciplinary problems.A selected set of (mostly non-technical) KSAs identified as important by a survey conducted atthe ASEE-NSF workshop9 and which stakeholder(s) must be responsible to teach them (inpercentages) are shown in Table 1. The numbers within parentheses next to each KSA indicateits priority in the list of 36 KSAs identified through the survey. The sample data presented belowshows the critical role engineering educators have in instilling these KSAs in the futureengineering workforce.While some of the KSAs identified can be integrated into existing courses through
(otherthan the microprocessor platform and associated software) are discussed in lecture materialsprior to the lab period. Each lab assignment is followed with a report to be completed by the labgroups. Lab reports are brief and are intended to verify that students have acquired the neededtechnical skills. Table 1. Structured lab assignment concepts. Lab Concepts Applied # Introduction to lab instruments: oscilloscope, function generator, digital 1 multimeter, DC power supply, logic analyzer 2 Arduino Uno programming, integrating switches and transistors 3 Binary counters, analog inputs, and seven-segment displays 4 Integrating
and design pertain to the application of knowledge, using Bloom’s terminology, toperform tasks, and the Bloom classifications of synthesis and evaluation refer to the creation ofnew knowledge, that is the doing of research.As a generalization assignments in systems engineering courses are usually focused on thecognitive aspect of developing a systemic approach to engineering. To be more concrete,students are assessed on the cognitive dimension of their learning. This assessment is the meansby which the student demonstrates development of the technical ability to perform systemsengineering tasks. Our contention in support of development of the affective domain is thatstudents need be challenged to think about and to transform their valuation
conjecture at this point. Introduction and Background In 2005, the Journal for Engineering Education (JEE) fielded a special issue focused on The art and science of engineering education research which was drawn largely from a report by the National Academies (The Engineer of 2020). The bottom line of the NAE report [1], and the JEE special edition [2] was that change is hard, but that undergraduate engineering programs must have the ability to change to meet societal needs. It is now 2021, sixteen years after The Engineer of 2020 concept introduction. Our professional disciplines have come through a pandemic, and we all have changed in the face of strong, and sometimes mandated
, “Intelligent educational dual architecture for university digital transformation,” in Proceedings - Frontiers in Education Conference, 2019.[27] I. Khuankrue, F. Kumeno, Y. Ohashi, and Y. Tsujimura, “Agent-based Simulation model for identifying failure on students’ project,” 2017 IEEE Int. Conf. Syst. Man, Cybern. SMC 2017, vol. 2017-Janua, pp. 3113–3118, 2017.[28] C. Wasson, “The State of Systems Engineering Technical Practice versus Discipline: A Survey of INCOSE Chapter Attendees in North America,” in INCOSE International Symposium, 2019, vol. 29, no. 1, pp. 591–619.[29] A. L. Marnewick and C. Marnewick, “The Ability of Project Managers to Implement Industry 4.0-Related Projects,” IEEE Access, vol. 8, 2020
Conference of the System Dynamics Society., 2008, pp. 1–26.[18] S. Witjes, C. Montoya Rodriguez, and P. Specht, Muñoz, “The measurement of the developmetn of systems and general thinking in agricultural areas of Colombia; Preliminary Results,” in 50th Aniversary Meeting of the International Society for the Systems Sciences, 2006, p. 12.[19] R. Plate, “Asessing the Effectiveness of Systems-Oriented Instruction for Preparing Students to Understand Complexity,” University of Florida, 2006.[20] S. Karam, M. Nagahi, V. L. Dayarathna (Nick), J. Ma, R. Jaradat, and M. Hamilton, “Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates,” Expert Syst. Appl., vol. 160
written-oralcommunication were also the key components of that experience.In general, the transformation took three school years, starting from 2013 to 2016. Inthe 3 transformation rounds, it has established a practical framework to share withengineering educators. The goal of this case study is to illustrate how initial plan ofcapstone transformation containing only partial perspective has been challenged.Through various self-improvement mechanisms (illustrated in Figure 1), challengeshave been overcome and the capstone course gradually evolved towardcomprehension and optimization from 2013 to 2016.Figure 1: The evolution process (rounds 0-3) in Dynamic Control System capstone transformation from2013 to 2016 in the current case study. The
requirements’ list for the project. The instructortypically shows a case study project example explaining Step 1 tasks, generally in an in-classworkshop, so that each team can take the following actions:1. Break down the project description, recognize and highlight key words and form a list of high-level requirements.2. Share the list with other teams for peer review to refine the list.3. Prepare a list of questions to obtain the instructor/s’ and sponsor’s assistance.The high-level requirement list after this step generally captures key system behavioral featuresand main system functions. Table 2 (page 8) shows the input and output of Step 1 for a casestudy exercise conducted in class.Objectives achieved during this step: 1. Team gets an easy
Stages 4 and 5, the CAD model is further updated, and more prototypes can bebuilt when necessary. Finally, technical drawings and documents are generated.3. CONCEPT GENERATION AND SYSTEM LEVEL DESIGNMarket research helps student develop an understanding about the CNC router and thecompetitions in the market. There are many ways to do market research, such as interviewing afocus group, conducting a potential user survey, or simply searching the internet. Studentsstudied 6 top brands of desktop CNC routers. Their workspace, weight, and cost are listed inTable 1. Design specifications of the student designed CNC router are listed at the bottom ofTable 1. The specifications were chosen with remaining competitive over the benchmarkproducts in
Generation Architecture pre postFigure 1. Students’ average self-efficacy ratings from the STSS, at pre- and post-test, for each of the five categories.For the second part of the STSS, students were asked to apply their ST/SE knowledge and skillsin the context of technical problems. The contexts for these problems were chosen to berelatively familiar objects (computer, lawn equipment, jewelry) so students’ prior knowledge ofthe objects would be consistently high, allowing the assessment to focus on ST/SE knowledgeand skills. Many of the items involved multiple aspects of ST/SE knowledge and skill (accordingto domain experts
excitation: (1) fielddata is usually not available, (2) operational transient events have a high degree of randomness,and (3) no single transient event is statistically adequate to represent the field vibrationenvironment.Shaker subsystem alternatives and SelectionThe shaker components are: (1) the shaking table, (2) the field power supply and (3) the poweramplifier [3, 5]. Alternatives include the hydraulic shakers, generating high forces and lowfrequencies; and the electrodynamic shakers for low amplitudes and high frequency range.Currently almost all satellite testing is done using electrodynamic shakers. These shakers includea horizontal table for lateral axes and they allow the armature body to be rotated into a horizontalposition. Horizontal
brief overview of the proposed platform,introduces necessary physical and software components, and describes a typical game session. Figure 1. The three-tier logistics system includes suppliers, manufacturers, and customers.3.1 Platform OverviewThe simulation activities model a three-tier manufacturing logistics system in Figure 1 wherestudent manufacturing teams purchase raw materials from a supplier, assemble LEGO brickvehicles, and sell completed vehicles to customers subject to a time constraint. The supplier roleis more passive than other roles and can be fulfilled by support staff (i.e. teaching assistants) orvolunteers. In the case of teams larger than seven or eight members, some participants can bedelegated to supplier and
ofdistinguishing between operational need and system solution. Students are provided with thenecessary mindset, thinking processes, and tools and techniques to identify a need, envisionalternatives, choose a solution, and materialize it. Table 1 lists the sequence of contents of the course. The studio art approach was used tosome extent to cover topics 4 through 11, with its deepest application in Topic 11 - Systemarchitecture.Table 1. Course content Order Topic 1 Systems and systems engineering 2 The system life cycle 3 A technical strategy perspective 4 Effort allocation 5 System operation 6 System deployment 7 System retirement 8 Problem formulation
; a United States Air Force general recently stated, “Our current defense acquisitionsystem applies industrial age processes to solve information age problems [1].”Emergent behaviors (wanted, unwanted, and unanticipated) are particularly difficult to managewith traditional systems engineering approaches. Although functional decomposition and relateddeconstructive approaches are useful, they fail to fully manage interactions. As David Cohen,Director of Naval Air Systems Command’s Systems Engineering Department, recently stated:“We have been using Newtonian systems engineering. We need quantum or string theorysystems engineering to manage modern system development [2].” Model-Based SystemsEngineering (MBSE) is one solution to this
interpreting the regression coefficients, we achieve our secondresearch goal to suggest specific improvements that instructors can use to give their students morefailure opportunities during PBL.1 IntroductionABET’s Criterion 5 requires engineering programs to provide all undergraduate students a majordesign experience that entails technical knowledge and skills acquired through the curriculum andincorporates realistic standards and constraints. The major design experience mentioned in thecriterion is an example of project-based learning (PBL): the theory and practice of using real-worldprojects that have time restrictions to achieve specific objectives and to facilitate individual andcollective learning [1]. PBL is a learner-centered approach that
option with outside work (i.e., co-ops or internships) excluded but including any paidwork to complete a task or tasks while attending school. Employment status is the generalized termto indicate whether a student was employed. GPA describes students’ academic achievement overtheir time at a particular institution or institutions. Jaradat’s [1], [2] Systems-Thinking Skillsinstrument was used to gauge how an individual deals with complex problems. The instrumentmeasures how holistically an individual handles complex problems and gives a score by analyzingseven major dimensions of systems thinking, for more detail about how the instrument wasdeveloped and how it works refer to [1], [2], [16], [17]).Systems-thinking skills were measured using an