increase studentinvolvement through three distinct but overlapping developmental thrusts. 1. Social Development 2. Typological Models 3. Intellectual DevelopmentThus, a conceptual framework for student development adopted by Industrial Engineering isshown below in Figure 1. Cognitive Development Figure 1. Conceptual Framework for Student DevelopmentIn this model, we interpret typological development to mean student awareness of, and anappreciation for, alternative learning styles and thinking preferences both for the individualstudent and for others. This approach to student development is not new and is similar to thenotion of diversity proposed by Felder and Brent11.Identity/Social
Industrial Engineeringand a manufacturing background and one in Business Administration with expertise inoperations management and production. A three-person committee, including the Dean ofEngineering and Computer Science, was formed to study the current program and offersuggestions for its improvement. The initial issues of concern were the small number of studentsand the non-accredited/not-accreditable nature of the program. After examining the program andits students, a list of six possible actions was developed; the options were: 1. Drop the program as an undergraduate degree offering. 2. Leave the program as it is: a very flexible program with a loosely specified core of engineering and business courses on top of general education and
top producers of MS graduates in theUnited States.1 A significant number of the MS student population represents workingengineers who are taking advantage of the non-thesis distance education option to obtaintheir degrees. The number of students in this group continues to grow, and in the lastacademic year, there were 200 students enrolled in graduate study through distanceeducation in the department. In the last few years, enrollment in the MS program inEngineering Management by distance students has been virtually flat while there hasbeen growth in the enrollment in the MS program in Systems Engineering. In the lattercase, this growth is due to a relationship between UMR and the Boeing Corporation toprovide graduate study in this field
of the discipline focus of thesedegrees, Table 1 contains a list of PSM programs in the Midwestern U.S. This region wasof particular interest to the University of Missouri-Rolla in its initial investigation of thepotential for offering this degree. The entries in this table are representative of thediversity of disciplines in PSM program around the U.S. and demonstrate howuniversities can leverage their areas of expertise through this degree. In reviewing thenational list of programs, it became clear that biology-related PSM programs are verypopular. There are 30 biology-related PSM degree emphasis areas with a heavyconcentration in biotechnology and bioinformatics.2
. Wefocus on the four roles that faculty and course development staff collaboratively undertakes todeliver courses online: the pedagogical, management, technical, and social roles. In doing so, wefocus on our four project management courses and some of the practices we use in our ownuniversity to address distance education issues. We conclude with some recommendations foreffective program delivery practices.IntroductionWith its roots in systems engineering, project management is a relatively new discipline.Historically, project management originated in the construction, engineering, and technicalfields, and it is now applied to various industries, including new product development, productinnovation, and information technology 1. As a reference
found in various classrooms across thecampus: (1) seating and room layout, (2) boards and projection and (3) computers and videocapture. In addition to the survey data, comments were solicited and compiled for continuousimprovement.A total of 75 students, faculty and staff responded to the survey. Within the three categories ofinstructional technology, three survey questions were asked to determine: (1) which technologieswere used, (2) which technologies did individuals enjoy and (3) which technologies didindividuals feel would enhance learning?There were several conclusions resulting from the data analysis including differences betweenfaculty and student preferences. The most interesting result was the compelling relationshipbetween enjoyment
engineering students enrolled in the sales engineering courses between the Fall 2010and Fall 2012 semester were surveyed both at the beginning and end of the semester (N = 33).An instrument was developed for this study to specifically assess demographics, beliefs, andtechnical sales skills taught in the course (Appendix I). Student beliefs were specifically utilizedbecause only the individual can truly express their own attitudes, emotions, and internal stateswithin a specific domain6. The beliefs portion of the survey included six items rated from low tohigh on a scale from 1 to 10. A pre-post analysis of item means was undertaken for these items.The sales skill items were designed around the sales minor and the course content providinginitial
competitive edge. As they do, theymust resolve unique demands on their information technology, their structure, their processes,and their culture. Most critical, however, is the challenge posed by analytical talent, the peopleat all levels who help turn data into better decisions and better business results.” [1]The above quote is from a publication by Accenture, a global consulting firm, about theimportance of recruiting analytic talent for businesses. In response to this need several collegeshave developed graduate programs in analytics, one of the first being North Carolina StateUniversity’s Institute of Advanced Analytics, which boasts job placement rate of 100% [2].Several other articles echo the need for trained data analysts in the information
work environmentdemands that engineering students feel comfortable and are able to use the most advancedtechnology to access information and communicate with others. It is therefore necessary thatengineering programs provide students with awareness and a deeper understanding of teamwork,more than most current curricula offer [1].Historically, technical education has been based on an analytical model (Science). Futureteaching of engineering must be more inclusive [2]. Organizations seek and require engineers Page 23.715.2who are able to use the computer as a support tool, understand technology in a broad sense, withexcellent analytical skills
Innovation and Organizational Sustainability: An Addition to the Engineering Management Curriculum?Abstract and IntroductionThe Baldrige National Performance Excellence Criteria (2013 -2014) 1 places increased emphasison organizational sustainability in terms of societal, environmental, and financial impacts; andinnovation as a discontinuous change in engineering designs and/or business models. Suchconcepts may become important considerations for engineering managers in today’s globalmarketplace. Engineering management educators may become a major player in transformingcompliance with performance specifications into an enhanced competitive business advantage byoffering a total systems approach to managing innovation while ensuring the
abroad, specifically,1) if there are differences among gender, classification and/or program of study, 2)whether students do not study abroad due to financial, class selection, time, and/or otherreasons, 3) what percent of the cost associated with studying abroad the students need tohave covered in order to be able to afford to study abroad, and 4) where students wish tostudy abroad. In addition, this comparison contrasts findings between a public, rural,comprehensive university (University of Arkansas) with a private, urban, technologicaluniversity (Stevens Institute of Technology). Results show that the majority of public andprivate university students want to study abroad (ideally in Europe), but identify time andfinances as constraints
. Page 23.339.2The Triangular Distribution The triangular distribution is a good distribution for cost estimating in that most costestimates tend to be low and that the high cost estimate is further from the most likely or modevalue than the low cost estimate. The extreme lowest cost would be zero, but the highest costcould theoretically go to infinity and thus the most likely, or mode, is closer to the low cost pointthan to the high cost point. The typical triangular distribution for cost estimating is illustrated inFigure 1. L M HFigure 1. Triangular Distribution where L= Lowest, M=Most Likely, and H = Highest Values To perform a risk analysis, the values for the
-building process in distance learning classes suggeststhat there are three levels of community that can be identified: 1) “making online acquaintancesor friends” through interactions with similar individuals, 2) “community conferment” viaintensive discussions on a topic of importance, and 3) “camaraderie” achieved through long-termor intensive exposure to others1. Subsequent work to identify pedagogical approaches in supportof Brown’s theory reveals that educators and students alike need practical strategies to progressthrough these levels of community in order to yield successful distance learning outcomes3.MethodologyDistance learners enrolled in the Master of Engineering Management Program (MEMP) at DukeUniversity between 2009 and 2012 were
Manufacturing Challenge student competition of SME. Ileana is a member of ASEE, ASQ and SME. Page 23.418.1 c American Society for Engineering Education, 2013 Development of a minor in Sustainable Manufacturing for Manu- facturing Systems Engineering program 1. IntroductionThis paper presents a proposal of a new minor in Green Manufacturing to be offered in theManufacturing Systems Engineering and Management department at California State University,Northridge (CSUN). The campus has a very active Institute of Sustainability that offers a minorin Sustainability and will offer a
model focused on four mental functions:recollection, recognition, decision and awareness and how they varied at each level of expertise.Each time a mental function matures, the individual’s level of expertise rises. The Dreyfusbrothers hypothesized that to obtain the level of master one first must progress through the lowerlevels of expertise.5 The model is based on learning a skill not a profession. For example, acomputer engineer can be a novice in networking and an expert in Java programming. Table 1 istaken from their 1980 article and summarizes the model.Table 1. Mental Functions for Each of the Five Levels of Expertise in the 1980 Article______________________________________________________________________________MentalFunction
protect the health, safety, and welfare of the public. This mission is supported through its member boards, board of directors, staff, board administrators, and volunteers by: • Providing outstanding nationally normed examinations for engineers and surveyors • Providing uniform model laws and model rules for adoption by the member boards • Promoting professional ethics among all engineers and surveyors • Coordinating with domestic and international organizations to advance licensure of all engineers and surveyors Figure 1. NCEES Vision and Mission [NCEES, 2012]II. The Process of Developing Professional TopicsThe NCEES process of re-evaluating
project we exploreengineering students’ willingness and interest in using electronic flashcards.For each class, the resulting flashcards were embedded in the class’s Blackboard page. Studentscould choose to review the cards in a variety of formats and from different devices. Figure 1 is ascreenshot of two electronic flashcards. The top card displays the term and its definition at thesame time (for initial study). The lower card is showing just one side, allowing the students totest themselves. After answering the question, the student can electronically “flip” to the see thecorrect answer. The card sets from each chapter can be combined and shuffled. The material canbe presented in a random matching exercise as well. The electronic flashcards
’ questions) andteaching tips and skills.Comparison with Approaches of Mentoring in Current ProgramsComparison of current teaching mentoring practices and our mentoring model is provided inTable 1. Many universities provide TA workshops for graduate students to learn basic teachingtechniques. This provides an opportunity for graduate students to learn how to teach and the TAworkshop help to cultivate their teaching philosophy. However, little hands-on opportunity isgiven to let graduate students practice what they learn from the workshop. Many preparing futurefaculty programs (PFF) share the same limitation. While PFF focuses on developing doctoralstudent’s teaching philosophy and prepare them for a teaching career in academia, few in
engineering while learning basic theory.IntroductionThe heart of engineering practice is design. Thus (ideally), engineering design should beomnipresent in the engineering curriculum, including basic theory courses. This paper discussesstrategies for incorporating a design presence in applied probability courses. The content of thesecourses is basic probability, reliability models, Markov chains, the Poisson process, and queuingmodels. In a previous paper1, it was proposed that engineering design activity be incorporatedthrough 1. homework and test problems that emphasize parametric analysis, variations of standard models, and comparison of alternative systems; 2. loosely stated open-ended problems intended to allow creative response
choice theories, etc. that followed suite andemphasized the importance of considering the psychological factors underlying the human aspect Page 23.186.4within the organizations [Levy, 7; Deckers, 1]. Moreover, a lot of work has been done in the areas of leadership, cognitive ability testing,personality testing, organizational psychological health, work attitudes, etc. That is, theresearchers have realized that the organizational efficiency not only depends on theorganizational structures but also on the psychological factors underlying the employees’attitudes towards work and their psychological health [7]. Furthermore, there
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
. 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
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