borrow it from our children.” This quote,often referred to as an ancient Native American Indian proverb, summarizes the principle ofsustainability: meeting the needs of the present without compromising the ability of futuregenerations to meet their own needs[1]. The importance of sustainability becomes clear as we tryto meet the constantly increasing needs of our society with limited resources on Earth. Engineerscan play a very important role in this, which is why, at the College of Engineering of UNCCharlotte, ways for incorporating sustainability into the curriculum are being sought.In 2009, a UNC Charlotte “green fee” was established via a vote from university students. Themandate says that each student will pay $1 in student fees that will
findings have been discussed as well.1. IntroductionThis paper presents a recent effort of the authors in comparing learning performance of studentsbetween two universities using course outcomes. One of the authors taught a graduate-levelcourse at both University A (UA) (in 2010) and University B (UB) (in 2011). The course taughtis Time Series Analysis, which is a typical course in many engineering programs acrossAmerican universities1-6. The course intends to give students an opportunity to apply the timeseries techniques to the modeling, analysis and forecasting of real-world physical systems. Onlygraduate students were allowed to enroll in the course at the two universities. The Colleges ofEngineering of these two universities have different
challenges due to students’ different backgrounds, but also providesopportunities for the instructor to address the need for coordinated software and systemsengineering education. This work reports the pedagogical methodologies used and the findingsuncovered during the entire offering of the “combined software and systems requirements”course.1. IntroductionIt is long ago now when engineered systems were made only from physical components andmerely the traditional engineering disciplines were involved in the creation of systems.Nowadays for example, every manufactured vehicle used for our daily commute includes somesort of a computing unit that runs software. Software engineering is not anymore needed onlyfor, let’s say, computers and space rockets
c American Society for Engineering Education, 2013 Developing System-Thinking Oriented Learning Modules of Networked Measurement Systems for Undergraduate Engineering Curriculum Xiaojing Yuan1, Heidar Malki1, Gangbing Song2, Xiaohui Yuan3 1. Engineering Technology Department, University of Houston 2. Mechanical Engineering Department, University of Houston 3. Computer Science and Engineering Department, University of North TexasAbstractThis paper describes the design of a set of system-thinking oriented learning modules of networkmeasurement systems for data acquisition and instrumentation courses. The courseware wasdesigned based entirely on open source components
participants. The plan consisted of four (4) different phases: Discovery, Strategic, Deployment,and the Operations phase. The different activities and objective of each of the phases isexpressed below. During the discovery phase the committee concentrated on a commonunderstanding of the needs and importance of having a program to train engineers whowould be not only technically competent but also be capable as leaders, innovators, andentrepreneurs. Goals were formed with an understanding of the currently availablecapabilities at UTEP and in the region, regarding: (1) Industry needs, (2) ProgramsOffered, (3) Financial Models, and (4) Course Inventory. We also carried out research to understand current programs and
2Graph 1: Declines in Student Math Proficiency by Grade Page 23.86.3Changing the Image of STEM In The Eyes of Students“Survey data collected as part of Raytheon’s MathMovesU program indicates that only1/3 of middle school (6th to 8th grade) students like math a great deal, and, that by eighthgrade, 45% are turned off to math, describing it as “boring”” . 2Attempts to popularize and create a positive image of the scholastic endeavors of thosewith interests in math, science and technology include modifying the vernacular toinclude words like ‘math-lete’. Or, in holding events billed as academic ‘-athlons’ or‘olympiads’. These events build on the example
, thus ensuring that we are graduating our seniors with the bestchance of success in the real world.Approach:We used the object oriented analysis and design approach in combination with techniques for Page 23.124.2auto code and GUI (graphical user interface) generation. The former involves the following,chronologically and iteratively: (1) Identify the use cases; (2) Develop the user requirements;and (3) Design UML class diagrams. The latter uses EMF (Eclipse Modeling Framework) whichtakes the UML class diagram as the input and generates GUI-based code automatically2. Thisauto code generation covers the communication and interfacing aspects, the
): Affective, Cognitive, Conative, Intra-group Relationships, Inter-group RelationshipsThese are the dimensions that we use to describe each of the agent populations. As mentionedabove, this is a collective description rather than a large set of individual descriptions. The firstthree attributes are common ways to divide up the parts of the mind and how people react to newsituations. The affective domain refers to emotions, cognitive ability refers to intelligence inmultiple dimensions, and conative is related to drive and striving. Intra-group Relationships isused to describe how the population works and acts together, while Inter-group Relationshipdescribes how the particular population works and acts with the other agent populations.Figure 1
, technology, engineering and mathematics(STEM). NASA benefits from the competition by encouraging the development of lunarexcavation concepts that may result in clever ideas and solutions with practical application toactual lunar excavation devices or payloads. The challenge is for students to design and build alunabot that can mine and deposit a minimum of 10 kilograms of lunar simulant within 10minutes. The lunar simulant used in the competition is Black Point 1 (BP-1)1, which has verysimilar physical properties to those of lunar soil. The complexities of the challenge include theabrasive characteristics of BP-1, weight and size limitations on the lunabot, and the requirementto only operate the lunabot—either telerobotically —from a remote mission
AC 2012-3189: GOT RISK? THE ROLE OF RISK ANALYSIS IN HIGHSCHOOL EDUCATIONMs. Eva Andrijcic, University of Virginia Eva Andrijcic is a third-year Ph.D. student at the Department of Systems and Information Engineering at the University of Virginia. Page 25.675.1 c American Society for Engineering Education, 2012 Got Risk? The Role of Risk Analysis in High School Education 1. IntroductionThe purpose of this paper is to focus on an important aspect of systems engineering, namely riskassessment and management, and to present a case study of a class in which high school studentswere
systems design, and embedded systems design through critical thinking,creativity, innovation, and discovery. The design of this lab is illustrated in Figure 1 below. Systems Level Thinking and Synthesis Analysis Experimentation Interpretation Synthesis Figure 1: General block diagram of lab design Page 25.688.3This diagram shows how each concept is developed (bold arrows) and integrated (dashedarrows) into the lab. Systems level thinking is the main theme and serves as the foundationlearning mechanism that supports and feeds the other concepts
. Universities must continue to take an active role tostrengthen and grow these partnerships which provide benefits to all involved. Thispaper will focus on models established at a medium size Master’s I Institution. GannonUniversity has established programs in collaboration with local industry that have provento achieve the following objectives: (1) to establish an academia-industry collaborativegraduate program and a Graduate Research Program (GRP), (2) to demonstrate theeffectiveness of programs as a strategy to build up a talent pool of engineeringprofessionals, and (3) to extend the pipeline for engineering professionals who enterexisting leadership programs at local industries.This paper presents general models by which universities approach these
instructor-directed environments. While generalized results, these findingsencouraged the Instructor’s hybrid/buffet approach to the course.In order to offer students a buffet of learning resources, a variety of course components wereutilized. The course components were categorized as: 1. Online Resources a. Instructor-Created Modules, consisting of Introduction videos with learning objectives, Lessons in both PowerPoint™ and video form, and Example problem videos. b. WileyPLUS3, the online learning environment associated with Principles of Engineering Economic Analysis 5e by White, Case and Pratt4, consisting of a digital copy of the text as well as Reading and graded Practice
. These environments are generally automated, complex systems withcomponents such as conveyors, computer-numerically controlled (CNC) machine workstations,automated guided vehicles (AGVs), and robots. Industrial automation can be classified into threeclasses: (1) fixed automation, (2) programmable automation, and (3) flexible automation. Withfixed automation, specially designed equipment is utilized to produce a single product only.Programmable automation uses equipment to make batches of products at a time. Once a singlebatch is finished, the equipment can be reprogrammed to make another batch of products. Onthe other hand, flexible automation allows for the manufacture of different parts to be made atthe same time within the same manufacturing
done, mostly by teams composed of electrical and mechanicalengineering students.One of the co-authors from a collaborating mainland university previously developed modularcourse content of this type. This systems engineering based multi-disciplinary course, depictedin Figure 1, incorporates best practices in content and structure.1,2 It had not been tested inwidespread implementation previously. The course was designed to be modular so that relevantmodules could be selected, allowing programs to adapt the content to their course requirements.This flexibility accommodates the different course durations, project team sizes, and engineeringdisciplines. The course includes detailed instructional material for each project step shown in thefigure
thismaterial can be covered in a large-class setting, including how it can be examined. Our datasuggests that spreadsheets must be incorporated into quizzes and or examinations in order toassess student abilities in these areas. Thus, while our teaching has evolved to includespreadsheets, so must our examination procedures.IntroductionCapital investments require analyses by engineers with tools and insight into whether theinvestment is sound. The field of engineering economy provides these tools. In order to make asound decision, a three-phase approach to evaluate the risk of a project is necessary: 1. Identify the risk, or risks, of an investment project. 2. Analyze the identified risk(s) of the project. 3. Assess how the identified risks
experienced a dramaticdifference from receiving appropriate instructional design and development support. Table 1summarizes the path of transformation reflected on the instructor’s perspectives. It highlights 10key features which demonstrate significant difference that the instructor perceived during the Page 25.787.2transformation. Key Features Before Receiving After Working with Instructional Support Instructional Designer 1 Course layout Unit based (6 units) Weekly topic based (15 main
more on the network level).CLIOS Process. Although engineering systems and systems thinking have been around forseveral decades, they continue to evolve and provide new insights into system behavior, which isoften counter-intuitive and difficult to predict. There is an expansive literature capturingadvances made with regards to systems thinking, all providing reasonable frameworks forunderstanding and approaching large transport problems like those tackled by the course (see,e.g., 1, 2, 3, 4). For the course at hand, the CLIOS Process was chosen because it is accessible,familiar, and has been previously tested using examples from the transportation field, which wasparticularly useful for the subject being taught (5).The CLIOS Process has been
are shown below b in Tabble 1, reprodduced from thhe Bureau oofLabor Staatistics.Table 1 Page 25.800.5 urse schedulling softwaree, MS Projecct is used to expose the cclass to project managemIn the cou mentmethods such as Gan ntt Charts an nd Critical Paath Method ((CPM). Thee “Commerccial ConstrucctionProject Plan” P is a tem mplate availaable on the website w that iincludes the sequenced aactivities
approach that integrates project management methods andtools with Lean-Six Sigma methods. An additional objective of this research is to develop abetter understanding of the unique aspects of the engineering problem solving process. Weassessed the student’s problem solving strategies, products, and design process reflections usingWolcott’s “Steps for Better Thinking” rubric 1.IntroductionCapstone courses give students the opportunity to solve large, unstructured problems in aclassroom setting. These team-based projects mimic the industrial setting that most students willenter upon graduation. Throughout the capstone experience students find themselves faced withcomplexities not found in a traditional course, especially when the projects are
also participate in project competitions. The best projects can also be accepted as undergraduate theses (required for completionof the Stage 1 degree, equivalent to BEng) and can also be continued in the 3rd course of thesequence, focused on application of optimization techniques. This course is offered to 4thyear students in the first year of their master’s program. It focuses on the supply chains andlogistic processes, assessment of their performance, lifecycle analysis and management. Thestudent group project will be carried out in an industrial setting, dealing with real-lifeassignments. The fourth course focused on the service engineering concepts and still in the planningphase, is intended to integrate knowledge acquired by the
problems faced by society.1. IntroductionMany students are attracted to engineering in order to solve important real-world problems.However, during the first two years of engineering education, the majority of students findthemselves in courses focused on the fundamentals of math and science, with little or noapparent connection to the real-world issues they care deeply about. Through their undergraduateexperience, most engineering students develop a deep understanding in a specific engineeringdiscipline. However, they often have very limited opportunity to learn about and analyzecomplex sociotechnical systems (e.g. energy systems, transportation networks, etc.) – engineeredsystems that are the focus of many critical global challenges.The most
course in the Electrical and Computer Engineering (ECE) program atthe authors’ institution had been based on a traditional Engineering Design Process (EDP) that isoutlined below in Table 1. This classical approach is appropriate for developing components andsmall systems, but a need to prepare students to manage the development of larger systems withmore complexity was recognized, so a Systems Engineering (SE) framework was sought for thecapstone course. Furthermore, the diversity of projects undertaken by the students oftenprecluded a common process for the entire senior class to follow, leaving each advisor to managetheir teams independently. The SE framework appeared to have a broad enough applicability tobring the projects back into a more
industrial and systems engineering and engineering manage- ment and a 2009-10 Gray Faculty Fellow at the University of Alabama, Huntsville. Her research interests are in applying statistical analysis and optimization to supply chain management, transportation man- agement, and engineering education. She holds a B.S. in industrial engineering (Lehigh University), a master’s in business administration (Penn State University), a M.S. in industrial engineering (University of Pittsburgh), and a Ph.D. in industrial engineering (University of Pittsburgh). Address: N149 Technol- ogy Hall, The University of Alabama in Huntsville, Huntsville, AL 35899; Phone: (+1) 256-824-6637; Fax: (+1) 256-824-6733; Email: gillian.nicholls
wireless access point (WAP) for 802.11 B/G access for wireless enabled devices (laptops, PDAs, etc). The specifications for this router (hardware only) are found in [1]. Sierra Wireless PinPoint X Modem – this ruggedized cellular modem is used as a Wide Area Network, WAN, (internet) connection endpoint for the ambulance as well as transmitting the GPS location of the ambulance to assist in computer aided dispatching. The specifications of this modem are listed in [2]. Specifications of the GPS collection & transmittal capabilities and configuration are listed in [3]. Sierra Wireless RJ11 Analog to IP Gateway – this device is used to simulate Local Exchange Carrier, LEC, “dial-tone” to an EKG device (Medtronics LP12
together the course concepts. A series of characters, representing subjectmatter experts, deliver technical and non-technical content thus morphing from a traditionallecture paradigm to one that is more interactive for students. Next, the Systems EngineeringBody of Knowledge (SEBoK) 1 is used as the foundational text for the course. In addition tobeing available to students free of charge, the SEBoK offers a common terminology, framework,and a coverage of topics that are not available in more traditional texts. Finally, active learningand experiential learning techniques 2 are incorporated into the course to facilitate learning basedon the course learning outcomes 3. All of these decisions were made and undertaken in such away as to allow the same
Dabbawalla system, Boeing 787 Dreamliner production, and X-plane designcompetition.Case StudiesIn this course, several case studies are discussed in class lectures, and used in assignments and ina term project. The purpose of having multiple case studies is to offer SE students an effectiveway to understand global business and engineering operations, systems and engineering issues,and how market competitions influence systems design through real industry cases. Cases beingused in this course are listed as follows: 1. Boeing 787 Dreamliner production delay case 1,2 2. X-Plane (X-35/X-32) fighter design competition case 3 3. Mumbai India Dabbawalla system case 4 4. Apple Store case 5. iPhone/iPad value distribution case 6
Page 24.547.2Introduction Blended learning combines online and face-to-face instruction1. Instead of totallyreplacing the traditional face-to-face classroom experience, blended learning takes advantageof the convenience and flexibility of online activities outside of classroom in support of theclassroom experience. In this study, we focus on evaluating the impact of severaltechnology-enabled blended learning approaches on a sophomore systems engineering coursewith a large enrollment. The specific blended learning approaches utilized by the instructorsfor this study are2: 1. An online discussion board (Piazza) 2. An online peer review management system (Praze) 3. A video-capture technology that allowed students to submit oral
various degree programs of arts,business, education, engineering, nursing, and sciences. The enrollment data presented in Table1, indicates that the majority of the students are Hispanic and among them almost 50% are first-generation of college students. Table 1 represents the enrollment data based on students’ profilesfrom academic year 2009 to 2014. Therefore, a significant number of first-generation collegestudents do not get the academic support from their family members [Dennis et al.10].Crisp et al.9 examined the demographic, pre-college, environmental, and college-factors thatimpact students interests in and decisions to earn a science, technology, engineering, ormathematics (STEM) degree among students attending a Hispanic Serving
interest in energy security and sustainability amongstudents in the course. The students have been theoretically and practically more prepared withthe DOE tools for the evolving job market of green energy manufacturing.1. IntroductionThis paper presents a recent effort at a research university in the United States to integraterenewable energy topics into the traditional design of experiments (DOE) course. The objectiveof this activity is to help industrial and systems engineering (ISE) students update theirknowledge base and foster environmental responsibility and sustainability awareness in theirfuture careers in various industrial sectors.As a branch of engineering, ISE deals with the optimization of complex processes or systems. Itinvolves the