introductionCluster 3: This cluster represents • Voice of the • Ethical BehaviorValue the capability of the IE customer • Performance to understand the value • Life cycle / total Management effect of his/her value stream analysis decisions and actions. • Risk management The IE evaluates • Business case opportunities and risks development from the point of view • Feedback systems to of what value is evaluate and monitor provided to the external value customer, and what • Market dynamics, value
of this paradox may lead to important misperceptions, especially insensitive settings, which makes this phenomenon of utter importance when it comes tointerpreting results. Clearly, a misinterpretation of the results from Berkeley graduate admissionsmight have led to legal problems. A misunderstanding of recovery rates due to a specific drugmay lead to incorrect or false advertising, also leading to legal and ethical issues.It is my aim to provide in this article another example of SP that took place in an educationalsetting. The contents discussed here arose while reevaluating the grading scheme in a statisticscourse. This reevaluation consisted of a widely used measure when grading in the United States:dropping the worst grade from the
Is Flat, refers "to a twenty-first centuryworld that will be very different from the one in which we were educated. To survive in a new,globally competitive world, today's children will need creativity, problem-solving abilities, apassion for learning, a dedicated work ethic and lifelong learning opportunities. Students candevelop these abilities through instruction based on Best Practice teaching strategies." [2].Best practice in graduate instruction focuses on dependable collaborations between graduateunderstudies and workforce, underpinned by staff [3]. Best practices are not always the bestdepending on timing and locations. According to DiBella (2001), "a practice that is valued in onesetting will be valued differently in another setting
, 6- low level of foreign language knowledge, 7-inability to the self-critisizm, 8-inability to make decisions on his own, 9-noncompliance of ethics and organizational culture, 10-lack of independence in learningFigure 1The Weaknesses of Specialist Training from the Employers’ Point of View Questioning the graduates
capacity of engineersto integrate technical expertise, socio-cultural analysis and professional ethics in analyzing andsolving real-world engineering problems was investigated5.Another interdisciplinary pedagogy relating to engineering and business is a study involvingindustrial and biomedical engineering students working as a team with marketing students4. Thestudents were assigned to develop a new medical device including the phases of design,production, and marketing of the new product. The authors reported that the interdisciplinaryenvironment greatly facilitated student learning, as well as enhanced mutual accountability andmutual respect.Course SyllabusThe central points discussed in classroom were: 1. Optimal Decisions Using Marginal
81% 81% 83% 8 Ethical Behavior 75% 88% 81% 9 Team Building and Facilitation 70% 94% 75% 10 Heuristic Methods in Optimization 76% 70% 79% 11 Financial Engineering 65% 94% 70% 12 Organizational Behavior 53% 94% 80% 13 Six Sigma/Design for Six Sigma 79% 75% 68% 14 Ergonomics 70% 73% 75% 15 Benchmarking 55% 94% 71% Statistical Methods for Service and
ABEToutcome. Table 1: First reduction in number of attributes to assess based on faculty questionnaireABET Student Outcome Number of Number of attributes attributes rated with rating > 4(c): an ability to design a system, component, or process to 14 9meet desired needs(d): an ability to function on multi-disciplinary teams 12 6(f): an understanding of professional and ethical 4 3responsibility(g): an ability to communicate effectively 4 4(h): the broad education
Multidisciplinary Engineering Capstone Design. Proceedings of the 2010 American Society for Engineering Education Conference, Louisville, KY.[5] Stern H. P. E., Marcus, A. B. (2002). Short, Instructional Modules for Teaching Ethical and Societal. Proceedings of the 2002 ASEE Southeastern Section Annual Meeting, Gainesville, FL.[6] Criteria for Accrediting Engineering Programs: Effective for Evaluations during the 2010-2011 Accreditation Cycle, Retrieved Dec. 24, 2010 from: http://www.abet.org/Linked%20Documents-UPDATE/Criteria%20and%20PP/E001%2010-11%2 0EAC%20Criteria%201-27-10.pdf[7] Learning Outcomes for the Department of Industrial and Manufacturing Systems Engineering at Iowa State University. Retrieved Dec. 24, 2010 from: http
alternative.Main Topics Main Topics Main Topics Introduction to feedstock logistics Introduction and overview: fossil Introduction to Sustainability The emerging biobased economy fuels Engineering Industry Technological barriers Climate Change and climate Green Engineering concepts Biofuels and bioproducts modeling Ethical Consumerism conversion technologies and System Tools, Power Grid, Smart Life Cycle Assessment systems Grid Energy Management Estimation of
courses assigning a single team to each project.4Capstone design courses face the cumbersome but necessary task of incorporating a vast array ofcoursework into a single comprehensive project. Research advocates integrating courses fromnot only the technical curriculum but also general education curriculum as well.6 Withinengineering programs, this coupling of technical and professional topics is apparent. Accordingto the results of a 2005 survey,4 over half of programs surveyed included the following topics intheir capstone design courses: written communication (87%), oral communication (83%),engineering ethics (76%), project planning and scheduling (72%), decision-making (68%),teambuilding (66%), team dynamics (63%), engineering economics (61
Detroit, MI Senior Lecturer Full-time IE 4850 Engineering Economics, IE 6840 Project Management, IE 6490 and IE 7490 Sys- tems Engineering, IE4800 Senior Design, and BE1200 Design in Engineering instructor. Support EMMP (Engineering Master’s Management Program) Leadership Projects. Serve on Faculty Review Commit- tee. Co-Author for MINDSET (High School Math textbook) Critical Path Method chapter. Author for Value Added Decision Making (Master’s level Engineering Decision & Risk textbook) Ethical Decisions Chapter. Project Manager / Launch Leader for Global Executive Track PhD in Industrial Engineering. Member, ISE Lecture Capture Task Force, ISE Undergraduate Program Committee, College of Engineer- ing Climate
,motivation and work ethic outside of the classroom, interest in the subject, and a host of otherfactors.Although the notion of a comprehensive student assessment program that accounts for all possibleinstitutional and student-level factors is compelling, it is an extraordinarily difficult goal to achievein the short-run and will likely need to be modified over time. Therefore, a rational approach foreducators to understand the factors that are at play in their classrooms is to build a methodologyfor factor identification and assessment that can be updated continually. While several studiesfocused on predicting student academic performance based on different student and institutionalfactors [4] [9], the objective of this study is to document the
to either a control or an experimental group in order to establish thecomparison.Both institutions have defined procedures for research when human subjects are involved. Thelarge private university in Colombia through its Center for Excellence in Teaching (CEDU) hasdeveloped a generic research protocol, approved by the university ethics committee, intended toguide researchers in the treatment and use of information coming from human subjects. At thesmall comprehensive university in the USA, a similar protocol exists and procedures for dealingwith human subjects and research involving them is clearly defined. At both institutions,students will be made aware about the research taking place and the treatment of the dataobtained from them
, Human Factors, Ergonomics and Safety. Category 10 has the most relevanceto an ergonomics course, although as discussed earlier, some IE programs may combine topicsfrom Categories 10 and 11 in one course. There are 8-12 exam questions drawn from Category10 (7-11% of the FE Exam). The relationship between this list of topics and IE curricular contentwill be further discussed in the next section of this paper. 1. Mathematics: 6–9 questions 2. Engineering Sciences: 5–8 questions 3. Ethics and Professional Practice: 5–8 questions 4. Engineering Economics: 10–15 questions 5. Probability and Statistics: 10–15 questions 6. Modeling and Computations: 8–12 questions 7. Industrial Management: 8–12 questions
semester of junior year to allow student to pursue a study-abroad. If studying abroad,IE students take their technical elective courses in their last two semesters of study. Note that ourprogram requires an internship. We included a seminar course in our curriculum before theirinternship where resume writing, interview skills and ethical issues are covered. Freshman Sophmore Junior Senior Intern. Fall Spring Fall Spring Fall Spring Fall Spring Intro. Hum
Abstract This paper describes an innovative curriculum developed for a new LogisticsEngineering degree programs at the Faculty of Engineering Management of PoznańUniversity of Technology. The core of the program is based on a sequence of four majorcourses, which focus on the Product Development, Process Analysis and Optimization,Logistic Processes and Service Engineering, respectively. Each course is built around a practical team project. With the project effort as thebackground, the courses introduce students to key issues in global engineering competence,such as technical and cross-cultural communication, collaboration and teamwork,organization and management, engineering ethics, critical thinking and problem solving, andintegration
– Ethics 4 4 or 5 g – Communications 4 3 h – Broad education 2 or 3 3 or 4 i – Lifelong Learning 1, 2 or 3 1, 2 or 3 j – Contemporary Issues 3, 5 or 6 4, 5 or 6 k – Engineering Tools 6 or 7 3, 4 or 5Other categorization of questions may also be helpful to evaluate content validity. For instancethe curriculum could be examined to make sure that each skill or subject area is tested.Criterion Validity. In order to evaluate the test on the basis of criterion validity the correlationbetween
containing some of the background andcomplexities actually encountered by an engineer’6. Similar definitions apply to otherdisciplines like law, arts, music, management, teacher education, or any other fields that havemade extensive use of cases for professional training.Teaching with cases often involves several challenges for the instructor. These includediagnosing technical problems and formulating solution strategies, making engineering andmanagement decisions taking into account technical, economic, and social and psychologicalconsiderations, and confronting ethical dilemmas7. The instructor needs to either have lots ofexperience or invite systems engineers in the industry to give seminars and present cases. Theinstructor can then have students
straightforwardproblems; 4. Analysis- solving complex problems, developing process models and simulations,troubleshooting equipment and system problems; 5. Synthesis- designing experiments, devices,processes, and products; 6. Evaluation- choosing from among alternatives and justifying thechoice, optimizing processes, making judgments about the environmental impact of engineeringdecision, resolving ethical dilemmas. Levels 1-3 are commonly referred to lower-level skills andLevels 4-6 are considered to be higher level skills. It is through the use of games that instructioninto the higher levels is possible as they present the students with continuous change, reflectionon decision making, strategy, and other key components of the higher-levels. Thus, gamingpresents
4COMM 1315 Public Speaking 3 TOTAL 15 TOTAL 15 SECOND YEARINEN 2373 Engineering Economics 3 INEN 3380 Work Design 3INEN 3322 Engr. Matls. & Procs. 3 ELEN 3310 Fundamentals of EE 3CVEN / MEEN 2301 Statics 3 MATH 3301 Diff. Eq. 3MATH 2318 Linear Algebra 3 Creative Arts Elective 3PHYS 2426 Physics II 4 PHIL 2306 Ethics 3 TOTAL 16
Developed a malware testbed to perform static and dynamic analysis on malware samples inside a sandbox Spring 2016: CSC 2120 Objected Oriented Programming Designed and developed a pizza ordering system(d) An ability to function effectively on teams to accomplish a common goal. 2015: Current: LiquidEarth Designed, developed, and validated a flood prediction application In a team environment(e) An understanding of professional, ethical, legal, security and social issues and responsibilities.(f) An ability to communicate effectively with a range of audiences. Spring 2016: PC 2500 Professional Communications Honors Presented to large groups in various professional settings(g) An ability to analyze the local and global impact
, previous three years to the implementation of the framework theaverage percentage of the students who fails the course was 12.5% while after theimplementation (2011 to 2013) was 2.3% implying a benefit of 10 percentage points. As waspreviously discussed the weight of the PBL assignments is 20% of the final grade. Thispercentage was the same previous to the 2011, the main difference was the use of the frameworkto design the goals of each PBL and the use of the rubrics. Due to the peer assessment activity,the possibility that a student pass the course rewarded by the teamwork assignment is limited butit is possible if the teammates do not complete this peer assessment ethically. Thus, the instructortakes some minutes previously to the peer
. Report was to be written to executive leadership. An ability to recognize -Staffing Final Report: Reasonable ethical and professional conversions and expectation for responsibilities in employees. engineering situations -Ingredient Final Report: Identification of and make informed suppliers alternative suppliers for items that judgements which must including the were at risk of not being delivered consider the impact of Madagascar consistently? 4 engineering solutions in vanilla shortage
§ Topic: Roles and Competencies § Topic: Assessing Individuals § Topic: Developing Individuals § Topic: Ethical Behavioro Part 6: Related Disciplines o Knowledge Area: Systems Engineering and Software Engineering § Topic: The Nature of Software § Topic: An Overview of the SWEBOK Guide § Topic: Software Engineering and Systems Engineering: Similarities and Differences o Knowledge Area: Systems Engineering and Project Management § Topic: An Overview of Project Management § Topic: Systems Engineering and Project Management: Similarities and Differences o Knowledge Area: Systems Engineering and
development.AcknowledgementsThe authors wish to thank the students who have participated in this workshop and shared theirfeedback, which has helped the authors to learn in many ways. This research has receivedclearance by the Research Ethics Board of the University of Windsor, REB# 14-035.References[1] J. H. F. Meyer and R. Land, 2005, “Threshold concepts and troublesome knowledge (2): Epistemological considerations and a conceptual framework for teaching and learning,” Higher Education, 49(3): 373–388.[2] F. Marton and R. Säljö, 1976, “On qualitative differences in learning: I—Outcome and process*,” British Journal of Educational Psychology, 46(1): 4–11.[3] J. B. Biggs and K. F. Collis, 1982, Evaluating the quality of learning: the SOLO taxonomy (structure of
ethics skills and the ability to work with people of differentbackgrounds. Nair et al. (2009) reported that the results of the 2007 Monash UniversityEmployer Survey concluded that there is a need to have a clearer understanding of essentialgeneric and professional attributes of engineering graduates to ensure quality in higher education,and that colleges and universities need to collaborate more closely with industry to re-design orre-align its educational programs with the competencies required by the employers.On the other hand, in 2006, the results of a survey conducted by the Association of AmericanColleges and Universities (AAC&U) among employers, indicated general agreement thatcolleges and universities should place more emphasis in
courses when the material and text is relatively dense.Student Performance Analysis ConclusionsThere were multiple broader observations that stood out in the course of our regression modelanalysis. Student GPA was included in each regression model because it was presumed to be asignificant predictor of performance on graded events. We saw that GPA is significant in eachmodel and has the largest effect size in each model. GPA is a complex variable, because itcaptures the effects of student motivation, work ethic, discipline, and study habits and is at leastpartially confounded with the effects of quiz timing and quiz performance on motivation.Additionally, the interaction of quiz timing and quiz percentage was not significant in any models
final project in a senior level class on global industrialmanagement. The course focuses on teaching how the practice of engineering changes in globalindustrial settings. It addresses elements such as political and regulatory constraints (import andexport tariff and quotas), foreign currencies, applicability of foreign legal systems, working inmulticultural environments, resolution of emerging ethical issues, and the impact of internationalstrategies to the practice of engineering. The course had 80 students; approximately 60 studentsmajored in Industrial Engineering and the rest of the students majored in Packaging Design,Biological Systems Engineering, or Mechanical Engineering.Teams. Students were randomly assigned to twelve teams of six or