) (b)Figure 1- (a) CAD model demonstrating the 2D views that fully represent the design shown inthe isometric view (b) Image demonstrating the numerous views that are required to fullydescribe an entire system.[5]The system competencies defined by Schindel et al [3] include the following:1. Describing the target of innovation from a systems perspective;2. Applying a system stakeholder view of value, trade-offs, and optimization;3. Understanding system’s interactions and states (modes);4. Specifying system technical requirements;5. Creating and analyzing high level design;6. Assessing solution feasibility, consistency, and completeness;7. Performing system failure mode and risk analysis;8. Planning system families, platforms, and product lines
internship.Along with its sister subsets the Engineering Management concentration is designed toreinforce the ideal of the symbiotic relationship between science and industry.Engineering Management, as an integration of two colleges and several departmentsteaches students the interpersonal, leadership, management, and engineering skills neededfor success in manufacturing, industry, and business. The program requires students totake courses focusing on project management, safety planning, research methods, andtechnology trends. Additionally through the coursework offered by the EngineeringManagement degree the students gain credit towards their Project Management Institute(PMI) and also have the ability to gain full certification in both Lean and Six-Sigma
observation. Current progress included accomplishments, distributionof work among team members, and current status of the project. Deltas included changes toprocess, implementation plan, and missing information. Project teams were free to ask questionsof other teams following presentations. Page 24.708.8Excerpts from a sample progress report are shown in Figure 4. Student names have beenobscured. In this example, students took some liberties with the provided template but alsocustomized the visual appearance to suit their team identity and design. Figure 4. Excerpted slides from a sample progress report.Individual accountability
student timecommitment was limited.The scale of the project described in this paper is markedly bigger than that reported onpreviously.7 The project deliverable was an entire water tower apparatus and the student timecommitment was much greater.Faculty felt that an active learning component was important to keep in the current project. Anactive learning component is directly linked to ABET EAC8 Student Outcome (i), “a recognitionof the need for, and an ability to engage in life-long learning.” The CU-Boulder /CMU MEPartnership Program performance criteria for this outcome are: 1) Plan, organize and assess learning: Achievable goals are developed individually. Work planning techniques are used to achieve results. Time management techniques
provide “evidence for the value of rapid feedbackand the currently popular clickers”18 in foundation engineering courses, they did note that theycould not make generalizations about the effectiveness in other learning environments andsuggested that further study was worthwhile.Finally, although it may be clear to any seasoned instructor, it is worth noting that implementingclickers in the classroom is time consuming. The instructor needs to spend time learning thetechnology and preparing appropriate questions, then planning how to go about incorporatingthem into the class plan or lecture. The engineering economy course described here requiredfrom a ½ to 1 hour per lecture to incorporate the “clicker questions” into previously developedPowerPoint
. The 20 characteristics chosen bythe author was based on Deming’s 14 points that pertained to TQM. This was recorded in a spreadsheet form as shown in Appendix B. Theseportfolios can also be graded, evaluated and assessed using a variety of rubrics andassessment tools. The author has previously presented some of these results in a form atthe 114th ASEE Annual Conference in Honolulu, Hawaii (Narayanan 2007). Theauthor plans to generate and utilize a rubric for purposes of holistic assessment. Thisrubric is based on Washington State University’s Critical Thinking Project. This isshown in Appendix D. The 20 characteristics chosen by the author are recorded and incorporated intoan excel spreadsheet for documenting collected data
listindicates the main topics covered in the course: Introduction to the product development process. Product planning. Identification of customer needs. Setting target specifications. Concept generation. Concept selection. Prototyping.ST and SE concepts are not explicitly addressed in the course or in other courses in themechanical engineering curriculum.Modifications made to the courseThree main factors were taken into consideration while making changes to the sophomore designcourse to incorporate ST and SE concepts. First, the educational materials and learning activitiesneeded to be appropriate for the level of the course. Second, the time required to cover the newcontent had to be reasonable and the educational materials and
: initial planning of ViTAS 3. Iteration 0: user stories for ViTAS 4. Constructive iterations for ViTAS 5. Release iterations 6. ProductionNext sections describe the above steps during the development of the ViTAS application.The scope of ViTASThe ViTAS is a web-based application, which provides the student and the professors of TAMIUan interactive communication baseline outside of class. The students will upload their homeworksolutions given by the professor on a particular class such as college algebra, business math I andII, general physics, principal of electrical engineering, etc. [Table 4]. The purpose of thisapplication is to reduce the class drop rate by 50% especially for the freshman and sophomorestudents. Detail discussion
Engineers (SAE) Ralph R. Teetor Educational Award recipient.Mr. Michael DeLorme, Stevens Institute of Technology Mr. Michael DeLorme is an Adjunct Professor and Senior Research Associate at the Davidson Laboratory at the Stevens Institute of Technology. He has conducted over 50 significant marine hydrodynamic exper- iments on both surface and subsurface vehicles. Other areas of recent research include; the application of hydro-acoustic techniques for the detection, classification and tracking of non-emitting small vessels, the implementation of UUVs for port/maritime security and environmental assessment, and path planning of a UUV through a complex estuary.Eirik Hole, Stevens Institute of Technology (SSE) Eirik Hole has
limited to allow a plausible approach Procedural plan was developed and followed through to completion Setup and follow-through of project is orderly and logical Thorough use of data and observations Conclusions are consistent with data that was collected Team demonstrates knowledge of relevant content matter Team members understand the scope and limitations of the project, and have an idea of what further research is warranted Team conducted sufficient research, as evidenced by appropriate citation of scientific literature and reference sourcesQuestions to Consider Has the team identified a clear, bounded problem statement and/or objective? Did the team follow a logical plan for completing the project
AC 2012-4882: A NANOTECHNOLOGY MODULE WITHIN THE CUR-RENT COURSE IN ENGINEERING ECONOMYDr. Bidhan C. Roy, University of Wisconsin, Platteville Bidhan Roy (Ph.D. 2003, UIUC) is an Assistant Professor with the Department of General Engineering, University of Wisconsin, Platteville. His research interests are primarily in mechanics with a focus on biological systems, applied mathematics, and numerical methods.Dr. Osama M. Jadaan, University of Wisconsin, PlattevilleMitchell Dean Cornelius, University of Wisconsin, Platteville Mitchell Cornelius is originally from Decorah, Iowa. He is currently a Senior Mechanical Engineer at the University of Wisconsin, Platteville, and he plans to attend Iowa State University for graduate
their responses) the interactions of variousconstructs at some level of complexity. Most of the responses were categorized using the rubric at asecondary level, meaning that some but not all aspects of the criteria and rating guide were met. Forexample, a response defined technical and contextual aspects but did not acknowledge the interaction andcomplexity between components.Table 2 provides an example of the evaluator scoring and rationale for applying the rubric from theassessment tool under consideration [21].Table 2. Example evaluator rationale for the individual prompt (Prompt 3) in the systems-thinking assessment tool Prompt 3: What groups or stakeholders would you involve in planning a response
interchanges of process knowledge that could be mutually useful. Our process for gathering data on systems engineering programming is described below. Gathering Initial Data and Future Plans We obtained a list of ABET accredited Systems Engineering Programs the United States from the ABET web site [9]. We started with a basic search of “Systems Engineering” and filtered other program titles through to identify programs that are related to systems engineering. For example, Industrial Engineering programs are often in the same department as Systems Engineering program. The final list included Industrial and Systems Engineering, Systems Engineering, Systems Science and Engineering and a
methodology. The comparison shows that although methodology designers spent moretime at the beginning stage when they engaged in a design project, they tend to handlecomplexity well and reach optimal design results faster. Daalhuizen et al. [4] comparedsystematic and heuristic design methods, and claimed that systematic methods prompt a designerto reach “optimal rather than satisfactory results” while heuristic methods prompt a designer toreach “satisfactory rather than optimal results”. Atman et al. [5] compared the design behaviorsof expert practitioners and students, and provided some suggestions for students who plan toadopt system design methodology, such as scoping a design problem before diving into a detaileddesign, gathering large amounts of
. Teams build as many vehiclesas possible during the build period. The sale price of a completed vehicle varies in time,monotonically decreasing to a point where it is not profitable by the end of the simulation period.This reflects the effect of commoditization in mass markets [21]. Additionally, quality defectsresult in an additional financial penalty. Figure 7. Sport vehicle variant. Figure 8. Utility (left) and family (right) variants without intentionally planned commonality. Figure 9. Redesigned sport, utility, and family variants with a common product platform.The second round represents a paradigm of production with variety where each team receivestwo additional product variants similar to
et al., “Curriculum Guidelines for Graduate Degree Programs in Software Engineering,” ACM, New York, NY, USA, 2009.[4] A. Pyster et al., “Graduate Reference Curriculum for Systems Engineering (GRCSETM),” 2012.[5] US News, “The 10 Best Colleges for Engineering.” [Online]. Available: https://www.usnews.com/best-colleges/rankings/engineering-doctorate. [Accessed: 17-Mar- 2018].[6] “The 10 Best Colleges for Engineering.” [Online]. Available: https://www.usnews.com/best- colleges/rankings/engineering-overall. [Accessed: 17-Mar-2018].[7] Stanford University, “Mathematics and Statistics Courses 2017-18 | Undergraduate Handbook.” [Online]. Available: https://ughb.stanford.edu/courses-and-planning/approved- courses/mathematics
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
the assessment plan adopted by the department basedon the following principles: 1. The achievement of each SO is to be demonstrated by a primary course and possibly by a supporting course. Both courses must be from the systems engineering core component that is completed by all students. 2. The achievement of each SOs should include the assessment of all components of that particular SO. 3. The methodology of measurement should be straightforward, measuring directly the achievement of the SO by measuring the achievement of its component parts instead of by indirect means such as measuring the accomplishment of course learning objectives and then mapping the objectives to the SO. 4. Assessment methodology
capabilities of the constituent parts.The mission engineering competency model establishes the proficiencies for practitioners toperform effective mission engineering based on interviews and open source literature. We alsodetail the relationships between mission engineering, systems engineering, and system ofsystems engineering.What is Mission Engineering?There is no single definition of mission engineering, also referred to in the published literature ascapability engineering. For example, the US Department of Defense (DoD) defines missionengineering as “the deliberate planning, analyzing, organizing, and integrating of current andemerging operational and system capabilities to achieve desired war fighting mission effects”[1]. A more general
the hybrid/buffet course was offered to all sections on campus in both Spring 2011and Fall 2011, no control group was available to compare learning within a given semester.Therefore, baseline data from an offering of the course in the traditional format in Fall 2010 wascompared to data collected from the two hybrid/buffet sections.The assessment plan consisted of a comparison of student performance on eight exam questionscovering select fundamental learning objectives of the course. The exam questions werepresented to students in the final exam of all Fall 2010 sections delivered in a traditional manner.The same questions were then embedded in exams of the hybrid/buffet course in both Spring2011 and Fall 2011. The Instructor was the same for
Project (20 minutes, 4 team members, Q&A section)Assessing student growthExperience with earlier versions of the course had shown the instructors that this was a coursethat most of our students found to be novel in its organization and implementation. Therefore itwas advisable to explain in detail to the students the course assessment plan, the reasons for theplan, and instructor expectation of the student’s role during the course.The weightings among the three learning goals were Demonstration of awareness and understanding of globalization: 50% Demonstration of growth in communication skills: 35% Demonstration of growth as a professional and as a person relative to sustainability: 15%To assess student status related to awareness
details of theirparticular engineering disciplines. In addition, as most of the undergraduate students weremechanical engineering majors, the instructor for the first course was able to use his backgroundin mechanical engineering to provide relatable examples to the students. One of the main difficulties with teaching this course was the pace at which the course Page 22.1279.9started to move. Although we had planned for a fast paced course, it was still a faster thananticipated and additional contingencies would have been helpful when the students moved intothe higher detail design work. A high level overview of the systems engineering
systematic development of softwareis to control complexity. In other engineering disciplines the purpose of systematicanalysis and design is perhaps to control complexity but primarily to produceblueprints, schematics, and other plans for construction of a physical artifact.The second additional factor to be considered is the closely coordinated teamworkrequired to produce software. Because software engineering is intellect-intensive,effort is the fundamental unit of estimation and control for software projects. Asoftware project estimated to require 100 staff-months of effort might beconstructed by 10 people working for 10 months but not 100 people working for onemonth and probably not 1 person working for 100 months; teams of
. Page 25.231.1 c American Society for Engineering Education, 2012 Assessment of Student Performances in Operations Research Class Delivered by an Innovative ApproachIntroductionOperations Research (OR) provides the core foundation skills and knowledge set for IndustrialEngineers (IE). It is one of the first courses to introduce crucial skills in its algorithmic approachto problem solving and abstract mathematical modeling of real systems. It provides themathematical science of optimization that underpins functionality of the optimization tools andalgorithms used by IE’s. It is a gateway course for IE specializations such as Simulation,Production Planning and Control, Logistics, and similar
selection, human resources planning and placements [6]. Various competency models exists in the field of SE. Most of them have been developedfor specific contexts, since the required competencies can differ between organizations andprojects, and they can typically be tailored to the organization or project particularities. Themost well-known competency models in the field of SE are: • INCOSE UK Working Group Competency Model: identifies the competencies required to conduct good SE projects[8]. • Defense Acquisition University (DAU) ENG Competency Model: identifies the compe- tencies required for Department of Defense (DoD) acquisition engineering professionals [9]. • NASA Academy of Program/Project and Engineering
Figure 2. Agile development life cycleAgile development of ViTAS 2.0Agile system development is a group of software development methodologies based on iterativeand incremental development, where requirements and solutions evolve through collaborationbetween self-organizing, cross-functional teams. Figure 2 represents the Agile development lifecycle. Based on Ambler[3] and Cohn[7] the agile development process has the following stages inthe system development project which is similar to ViTAS 1.0 [Biswas et al.[6]]: 1. The scope of ViTAS 2.0 2. Iteration -1: initial planning of ViTAS 2.0 Page 23.710.8 3. Iteration 0: user stories for ViTAS
-5 with special emphasis onengineering. The improvements planned for the third iteration in Spring 2014 and further insightsgained through the experience are shared in the final section of the paper.2. STFS Course Structure and ContentsUsing systems thinking to approach sustainability was chosen for several reasons: (1) because asystems thinking approach was a practical rationale for multidisciplinary team sustainabilityprojects14, (2) because systems thinking is an appropriate education approach to complexproblems15 and (3) because a basic broadly applicable form of systems thinking (SystemDynamics16) could be quickly provided it was assumed as a kind of common language forstudents from different disciplines. As such, the STFS was designed
administrators.Initial planning for improvementsIn the initial plan of the ViTAS 3.0 development, few important aspects is considered such ashiring the appropriate personnel (graduate assistants), improving the functionalities of ViTAS, Page 24.147.9providing access outside of the campus, password recovery, adding a sub-system forinterdepartmental conferences, and making more user-friendly. Based on the feedback from theusers of ViTAS 1.0 and 2.0, the user stories/functional requirements are considered to developthe user stories and their required task to complete the development.User stories and required tasks development and prioritizationIn agile development
ought to teach the artistic side ofsystems engineering arises. Prior work suggests there is overlap between some of the keycompetencies systems architects should have with those required for artists [8]. This insight wasused to suggest a plan to teach systems engineering using a studio art approach, as employed inthe arts, rather than the traditional instructional approaches employed when teaching engineeringsciences [9]. In this paper, we will report what happened in the first semester where the studio artapproach was implemented in a systems engineering course. We collected both quantitative andqualitative feedback from students to understand how they responded to the new course format.As often occurs when trying a new teaching method