Conference Session

Assessment and Accreditation in Engineering Management

Collection

2012 ASEE Annual Conference & Exposition

Authors

Maxwell Reid, Auckland University of Technology

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

theconsequent accreditation requirements of the Institute of Professional Engineers New Zealand(IPENZ).The four-year BE programme is internationally benchmarked to the graduate profile agreedby the member countries of the Washington Accord (WA). In New Zealand, the Institute ofProfessional Engineers (IPENZ) acts as the approval and accrediting body in New Zealandand are a signatory of the Accord1.AUT Bachelor programmesAUT offers a four year Bachelor of Engineering (BE) (honours) programme and a three yearBachelor of Engineering Technology (B Eng Tech) programme. The four year BE (Honours)programme at AUT is designed for students who wish to become engineers and preparesgraduates for membership of IPENZ (MIPENZ). The mathematical underpinning of

Conference Session

Methods, Cases, and Directions

Collection

2012 ASEE Annual Conference & Exposition

Authors

Joseph C. Hartman, University of Florida

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

’ of Engineering Economy,” Proceedings of the 2006 American Society forEngineering Education Conference, (CD-ROM), June, 2006.7. Hartman, J.C., “Using ‘Real World’ Problems in Engineering Economy,” Proceedings of the 2004American Society for Engineering Education Annual Conference, (CD-ROM), June, 2004.8. Peterson, W.R., R.E. Landaeta and B. Magary, “Is it Time for a New Paradigm?” Proceedings of the 2005American Society for Engineering Education Annual Conference (CD-ROM), June, 2005.9. Voss, Pieter A., James M. Tien, Anil K. Goyal, “A Risk Analytic Approach to Learning EngineeringEconomy,” Proceedings of the 1996 American Society for Engineering Education Annual Conference (CD-ROM),June, 1996

Conference Session

Systems Engineering Division Technical Session 4

Collection

2014 ASEE Annual Conference & Exposition

Authors

Madeleine C Brannon, George Washington University ; Zoe Szajnfarber; Thomas Andrew Mazzuchi, George Washington University

Tagged Divisions

Systems Engineering

track to completing the final challenge. B. Week 2In the second week of the course, the idea of lean concepts in Systems Engineering wasintroduced. Students were provided examples of where lean concepts have helped enterprisesand the general idea of making a process lean. The lecture was in anticipation of the start of thelean simulation the next week. Page 24.813.6 Figure 2. The LEGO Mindstorms Maze Navigation Challenge. Table 3. LEGO Mindstorms Suggested Tutorials Week Suggested Supplementary Tutorials in Preparation for Class

Conference Session

Developing Systems Engineering Curriculum and Programs

Collection

2016 ASEE Annual Conference & Exposition

Authors

Bruce Harmon, Colorado Technical University; John M Santiago Jr, Colorado Technical University

Tagged Topics

Diversity

Tagged Divisions

Systems Engineering

; Miller, W. D. (2016). The Engineering Design of Systems: Models and Methods (3rd ed.). Wiley. 5. Pyster, A., Olwell, D. H., Ferris, T. L. J., Hutchison, N., Enck, S., Anthony, J., Henry, D., & Squires, A., (Eds.) (2012). Graduate Reference Curriculum for Systems Engineering (GRCSE™). Hoboken, NJ: Trustees of the Stevens Institute of Technology. 6. McGrayne, S. B. (2011). The Theory that Would not Die. New Haven and London: Yale University Press. 7. Mayer-Schonberger, V., & Cukier, K (2013). Big Data: A Revolution that Will Transform How We Live, Work, and Think. Boston and New York: Houghton Mifflin Harcourt.

Conference Session

Research Projects, Course Development, and Industry Issues

Collection

2012 ASEE Annual Conference & Exposition

Authors

Andrew Bodenhamer, Missouri University of Science and Technology; Ivan G. Guardiola, Missouri University of Science & Technology; Steven Michael Corns; Cihan H. Dagli, Missouri University of Science & Technology

Tagged Divisions

Systems Engineering

iterative loop of divergent-convergent thinking b. Maintain sight of the big picture by including systems thinking and systems design c. Handle uncertainty d. Make decisions e. Think as part of a team in a social process f. Think and communicate in several languages of design.Hence, in an effort to increase the effective teaching of systems engineering and designof complicated systems we sought to increase these efforts by developing a capstonecourse. The capstone course approach to design engineering education has evolved overthe years from “made up” projects devised by faculty to industry-sponsored projectswhere companies provide “real” problems, along with the expertise and financialsupport3. Following this proven and widely

Conference Session

Integrating Systems Engineering into the Capstone Project

Collection

2016 ASEE Annual Conference & Exposition

Authors

Fred J. Looft, Worcester Polytechnic Institute

Tagged Divisions

Multidisciplinary Engineering, Systems Engineering

Paper ID #15385Systems Engineering and Capstone ProjectsDr. Fred J. Looft, Worcester Polytechnic Institute Prof. Looft earned his B..S, M.S. and Ph.D. degrees in Electrical Engineering at the University of Michi- gan. After a brief period on industry, he joined the faculty of WPI 1n 1980 where he is now a professor in the ECE department and a founder of, and Academic Head of the Systems Engineering program. His interests include projects based education, curriculum development, international study abroad programs and mentoring, and autonomous robotic systems.. c American Society for Engineering

Conference Session

Systems Engineering Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Tahsin Mahmud Chowdhury, Virginia Polytechnic Institute and State University; Sreyoshi Bhaduri, McGraw Hill ; Homero Murzi, Virginia Polytechnic Institute and State University

Tagged Divisions

Systems Engineering

. Markopoulos, I. S. Kirane, D. Balaj, and H. Vanharanta, “Artificial Intelligence and Blockchain Technology Adaptation for Human Resources Democratic Ergonomization on Team Management,” Adv. Intell. Syst. Comput., vol. 1026, no. January, pp. 445–455, 2020.[24] I. van Gent, B. Aigner, B. Beijer, J. Jepsen, and G. La Rocca, “Knowledge architecture supporting the next generation of MDO in the AGILE paradigm,” Prog. Aerosp. Sci., vol. 119, no. September, p. 100642, 2020.[25] N. Bakhtadze, O. Zaikin, V. Pyatetsky, and A. Zylawski, “Incentive Model of a Project Learning Process,” in 2020 7th International Conference on Frontiers of Industrial Engineering, ICFIE 2020, 2020, pp. 73–81.[26] J. A. P. Gama

Conference Session

SED Technical Session: Instructional Experiences

Collection

2019 ASEE Annual Conference & Exposition

Authors

Azad M. Madni, University of Southern California; Dan Erwin, University of Southern California; Ayesha Madni, University of Southern California

Tagged Divisions

Systems Engineering

issue on “Model-Based Systems Engineering,” Accepted for Publication, March 2019.[4] A.M. Madni, Transdisciplinary Systems Engineering: Exploiting Convergence in a Hyper-connected World. New York, NY: Springer, 2017.[5] S.P.A. Datta, Emergence of Digital Twins, arXiv e-print (arXiv:1610.06467), 2016.[6] B. Marr, “What Is Digital Twin Technology - And Why Is It So Important?” Forbes, https://www.forbes.com/sites/bernardmarr/2017/03/06/what-is-digital- twin-technology-and-why-is-it-so-important/#78b97b8a2e2a, 2017.[7] M. Grieves and J. Vickers, “Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems,” F.-J. Kahlen et al. (eds.), Transdisciplinary

Conference Session

Technology and Equipment to Improve IE Instruction

Collection

2012 ASEE Annual Conference & Exposition

Authors

Douglas H. Timmer, University of Texas, Pan American; Miguel Gonzalez, University of Texas, Pan American; Connie M. Borror, Arizona State University, West; Douglas C. Montgomery, Arizona State University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

Some College 0 Two year college degree 0 Four year college degree 4 Master's degree 3 Doctoral degree 1 Professional degree (MD or JD) 1 Current Enrollment <12 hours 1 12 – 15 hours 7 > 15 hours 3Table 2. Student Performance Exceptional Effective Acceptable Unsatisfactory Component (A) (B) (C) (D-F) Sampling

Conference Session

SED Technical Session: Systems Thinking

Collection

2019 ASEE Annual Conference & Exposition

Authors

Raed Jaradat, Mississippi State University; Michael Andre Hamilton, Mississippi State University; Vidanelage Lakshika Dayarathna, Mississippi State University; Sofia Karam, Mississippi State University; Parker Jones, Mississippi State University; Emily S. Wall , Mississippi State University; Safae El Amrani; Ginnie Shih En Hsu, Mississippi State University

Tagged Divisions

Systems Engineering

analysis will be conducted infuture research to study which method has a lower impact on causing simulation sickness. Withall feedbacks and results, the remaining dimensions on the ST skills instrument will be developedas VR complex system scenarios to assess student’s system skills capacity.References[1] R. M. Jaradat, “Complex system governance requires systems thinking - how to find systems thinkers,” International Journal of System of Systems Engineering, vol. 6, no. 1/2, pp. 53- 70, 2015.[2] B. S. Bloom, M. D. Engelhart, E. J. Furst, W. H. Hill, & D. R. Krathwohl, “Taxonomy of educational objectives: Handbook 1: Cognitive domain.” Longman Publishing Group, 1984.[3] L. W. Anderson, D. R. Krathwohl, P. W. Airasian, K. A

Conference Session

Student Development and Assessment in IE Programs

Collection

2012 ASEE Annual Conference & Exposition

Authors

Mahesh C. Aggarwal, Gannon University; Karinna M. Vernaza, Gannon University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

AC 2012-3984: HIGHLY RELEVANT AND PRODUCTIVE COLLABORA-TIONS BETWEEN INDUSTRIES AND UNIVERSITIESDr. Mahesh C. Aggarwal, Gannon University Mahesh Aggarwal has been a faculty member at Gannon University since 1978. He graduated from Marquette University with a M.S. and University of Michigan with Ph.D. in thermal science area. He has worked for numerous companies and is currently working with GE Transportation in Erie, Penn. At GE, he is the coordinator of GE/Gannon MS Program. He has seven patents with GE Transportation over the last 10 years. He is an active member of the ASME, serving as Chair to numerous groups. He served as Vice President for Region V (District B now) and is actively involved in precollege

Conference Session

SED Technical Session: Systems Thinking

Collection

2019 ASEE Annual Conference & Exposition

Authors

Karim Heinz Muci-Kuchler, South Dakota School of Mines and Technology; Cassandra M. Degen, South Dakota School of Mines and Technology; Mark David Bedillion, Carnegie Mellon University; Marsha Lovett, Carnegie Mellon University

Tagged Topics

Diversity

Tagged Divisions

Systems Engineering

] Rehmann, C. R., Rover, D. T., Laingen, M., Mickelson, S. K., and Brumm, T. J., 2011,"Introducing systems thinking to the Engineer of 2020," ASEE Annual Conference andExposition, Vancouver, BC, Canada.[9] Yurtseven, M. K., 2000, "Teaching Systems Thinking to Industrial Engineering Students,"International Conference on Systems Thinking in Management, pp. 655-659.[10] Jain, R., Sheppard, K., McGrath, E., and Gallois, B., 2009, "Promoting systems thinking inengineering and pre-engineering students," ASEE Annual Conference and Exposition, Austin,TX.[11] Monat, J., and Gannon, T., 2018, "Applying Systems Thinking to Engineering and Design,"Systems, 6(3), p. 34.[12] Simoni, M., Andrijcic, E., Kline, B., and Bernal, A., 2016, "Helping

Conference Session

Systems Engineering Pedagogy

Collection

2016 ASEE Annual Conference & Exposition

Authors

Thomas H. Bradley, Colorado State University

Tagged Topics

Diversity

Tagged Divisions

Systems Engineering

), 139-153.14. Hrastinski, S. (2008). What is online learner participation? A literature review. Computers & Education, 51(4), 1755-1765.15. Vonderwell, S., & Zachariah, S. (2005). Factors that influence participation in online learning. Journal of Research on Technology in Education, 38(2), 213-23016. International Council on Systems Engineering (2015) INCOSE Systems Engineering Handbook: A Guide for System Life Cycle Processes and Activities, 4th Edition, Wiley.17. He, W. (2013). Examining students’ online interaction in a live video streaming environment using data mining and text mining. Computers in Human Behavior, 29(1), 90-102.18. Arbaugh, J. B., Bangert, A., & Cleveland-Innes, M. (2010). Subject

Conference Session

Systems Engineering Curriculum and Programs

Collection

2012 ASEE Annual Conference & Exposition

Authors

Adeel Khalid, Southern Polytechnic State University

Tagged Divisions

Engineering Management, Industrial Engineering, Systems Engineering

Teaching and Learning, v11 n2 p76-90 Apr 201117. Khalid, A., Nuhfer-Halten, B., Vandenbussche, J., Colebeck, D., Atiqullah, M., Toson, S., Chin, C., ‘Effective multidisciplinary active learning techniques for freshmen polytechnic students,’ Intellectbase International Consortium Academic Conference, Atlanta, GA., October 13-15, 2011 Page 25.1229.13

Conference Session

Pedagogical Advancements in Engineering Management

Collection

2012 ASEE Annual Conference & Exposition

Authors

Ralph Ocon, Purdue University, Calumet

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

. Assessment criteria can include: (a) Whether the problem was accurately defined (the Problem as State & Problem as Understood)? (b) Did the solution(s) solve the problem? (c) Did the student engage in critical thinking? (d) How is the solution going to be implemented? (identify concerns). (e) During student presentations: evaluate the use visuals, and presentation preparation & skills. (f) During group/team presentations: evaluate the quality of collaboration and initiatives undertaken by individual team members.(3) Student input should be part of the assessment process: Use class discussions to evaluate/critique PBL assignments/activities. Select

Conference Session

Systems Engineering Division Technical Session 4

Collection

2015 ASEE Annual Conference & Exposition

Authors

Daniel Raviv, Florida Atlantic University; Luis Fernando Cortes, Florida Atlantic University

Tagged Divisions

Systems Engineering

. Reliability Engineering and System Safety, 96(6), 679-686. doi:10.1016/j.ress.2010.12.010.7. Walther, J., Kellam, N., Gattie, D., & Schramski, J. (2011). Engineering education as a complex system. European Journal of Engineering Education, 36(6), 521-535. doi:10.1080/03043797.2011.6220388. Steinlicht, C., & Garry, B. (2013). Systems Learning Within the Context of Subject Learning. American Society for Engineering Education, 2013 120th ASEE Annual Conference & Exposition, Atlanta. Retrieved December 20, 2014, from http://www.asee.org/public/conferences/20/papers9. Frank, M. (2012). Engineering systems thinking: Cognitive competencies of successful systems engineers. Procedia Computer Science, 8, 273-278. doi:10.1016

Conference Session

Pedagogical Advancements in Engineering Management

Collection

2012 ASEE Annual Conference & Exposition

Authors

S. Jimmy Gandhi, Stevens Institute of Technology; Brian Sauser, Stevens Institute of Technology; Brian E. White, Complexity Are Us - Systems Engineering Strategies; Alex Gorod, Visiting Fellow, University of Adelaide; Vernon Ireland, University of Adelaide

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

the color of the nodes of Figure 1.Case Study OutlineA suggested outline to follow in preparing a case study is provided in Appendix B. Each mainsection (whose sub-title is indicated by the index integers [for short-hand reference] and in bold-faced type) of this outline is explained in detail as follows. Relatively minor sections and addi-tional optional aspects (that can be pursued by the author(s) are indicated in brackets […]) of theoutline are not given integer indices.Case Study ElementsThis first section is intended to be a “bulletized” executive summary that can be: 1) used for sort-ing among all case studies; and 2) scanned quickly to understand the nature of the case study.The Fundamental Essence and Topical Relevance, respectively

Conference Session

Capstone Design Courses and Tools in support of Systems Engineering Education

Collection

2013 ASEE Annual Conference & Exposition

Authors

Xiaojing Yuan, University of Houston (CoT); Heidar Malki, University of Houston (CoT); Xiaohui Yuan, University of North Texas

Tagged Divisions

Systems Engineering

. Learning outcomes in each area reflect the overall goals of theproject and include: (1) at the component level, students will demonstrate their ability to (a)select appropriate sensors to monitor physical phenomena and (b) design analog and digitalsignal conditioning circuits to connect them to microcontroller/computers; (2) at the systemlevel, students will be able to identify and use current technology practiced in monitoring andcontrol systems; (3) at the network level, students will be able to (a) understand fundamentalconcepts of WSN, and (b) design and develop such a system; and (4) at the capstone/projectlevel, students will be able to demonstrate their capability to design, develop, implement, and testa networked data acquisition system to

Conference Session

Systems Engineering Division Technical Session 4

Collection

2015 ASEE Annual Conference & Exposition

Authors

Eric D Smith, University of Texas, El Paso; Oscar H. Salcedo, University of Texas, El Paso; Aditya Akundi, University of Texas, El Paso

Tagged Divisions

Systems Engineering

., Legislative Law and Process in a Nutshell. 2nd ed. St. Paul, MN: West Publishing, 1986.Filson, L., The Legislative Drafter's Desk Reference. Congressional Quarterly, Inc., Washington, D.C. 1992.Gross, B. The Legislative Struggle. New York, NY: McGraw-Hill, 1953.Overview of Systems Engineering: http://www.sie.arizona.edu/sysengr/whatis/whatis.html.Juran, J., Juran on Planning for Quality. New York, NY: The Free Press, 1988.Crosby, P., Quality is Free. McGraw-Hill. New York. 1979.Schrunk, D., The Quality Approach to the Science of Laws. Presented at 16th Annual International Deming Research Seminar, New York, February, 2010.Quality of Laws web site: www.qualityoflaws.com.Onishi, A., Futures of global interdependence (FUGI) global modeling system

Conference Session

Systems Engineering Division Technical Session 3 – Course and Program Outcomes

Collection

2018 ASEE Annual Conference & Exposition

Authors

Devanandham Henry, Regent University; Charles Daniel Turnitsa, Regent University; Cheryl Beauchamp, Regent University

Tagged Topics

Diversity

Tagged Divisions

Systems Engineering

. Engineering Education student, Virginia Tech, Blacksburg, Virgina •M.S. Computer Science, George Mason University, Fairfax, Virginia •M. Ed, Education, Regent University, Virginia Beach, Vir- ginia •B. A., Physics & Computer Science, Notre Dame University of Maryland Honors, Publications, and Memberships: •American Society for Engineering Education, Member •Association for Computing Machinery, Mem- ber •ACM Special Interest Group: Computer Science Education, Member •Computer Science Teachers Association, Member •National Green STEM Educator Award •Contributing author, We Switched Ca- reers! Professional Experience •Software Programmer •Software Engineer •Systems Analyst •Project Manager •Educator •STEM Fa

Conference Session

Developing Systems Engineering Curriculum, Part I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Richard E Fairley, Software and Systems Engineering Associates

Tagged Divisions

Systems Engineering

, software may be the most readily changed component but that does not meanchanges to software are easily done.When a system is installed in the operating environment it will change that environmentand result in new requirements that will require changes to the system; i.e., now that thenew system enables me to do A and B, I would like for it to also allow me to do C, or todo B in a different way, or to do C instead of B. Often, changing the software is the mostcost-effective way to make changes to a software-intensive system; but as stated abovethere are no small changes to complex software. Software invisibilityThe fourth of Brooks’ essential properties of software is invisibility. Software issaid to be invisible because it has no physical

Conference Session

Systems Engineering Learning Outcomes and Assessment

Collection

2016 ASEE Annual Conference & Exposition

Authors

Oscar H. Salcedo, University of Texas, El Paso

Tagged Divisions

Systems Engineering

Academy ofEngineering. August.7 Borrego, B., Froyd, J. E. & Hall, T. S. (2010). Diffusion of Engineering Education Innovations: A Survey ofAwareness and Adoption Rates in U.S. Engineering Departments. Journal of Engineering Education, p188                                                                                                                                                                                                                                                                                                                                                                    8 Slovic, P., Finucane, M. L., Peters, E., & MacGregor, D. G. (2007). The affect heuristic. European Journal ofOperational Research, 177, 1333-1352.9

Conference Session

Systems Engineering Division Technical Session 3

Collection

2014 ASEE Annual Conference & Exposition

Authors

Mario Simoni, Rose-Hulman Institute of Technology; William D. Schindel, ICTT System Sciences; Xiaoyan Mu, Rose-Hulman Institute of Technology; Dan Moore, Rose-Hulman Institute of Technology; Wayne T. Padgett, Rose-Hulman Institute of Technology

Tagged Divisions

Systems Engineering

through the use of certaintypes of system-level model artifacts, lending a tangible flavor. These are further described, Page 24.990.4detailed and illustrated by Appendix B of the related literature21. Model-based rubrics for eachof the System Competencies are described in Appendix A of the current paper.3.0 Process for Including Concepts into Senior DesignIn order to integrate these systems competencies into the senior design sequence, the coursecontent needed to be updated and the four faculty members who would be supervising the courseneeded to understand them. Much of this work was begun during the summer of 2013 before thecompetencies were

Conference Session

Integrating Systems Engineering into the Capstone Project

Collection

2016 ASEE Annual Conference & Exposition

Authors

Vigyan Jackson Chandra, Eastern Kentucky University

Tagged Divisions

Multidisciplinary Engineering, Systems Engineering

-based learning in post-secondary education - theory, practice and rubber sling shots. Higher Education, 51(2), 287-314.12. Davis, J. R., & Arend, B. D. (2013). Facilitating Seven ways of learning: A resource for more purposeful, effective, and enjoyable college teaching. Sterling, VA: Stylus13. Flake, C. (1993). Holistic education: Principles, perspectives, and practices. Brandon, VT: Holistic Education Press.14. Sylwester, R. (1995). A celebration of neurons: An educator's guide to the human brain. Alexandria: VA: Association for Supervision and Curriculum Development.15. Schön, D. A. (1983). The reflective practitioner: How professionals think in action. New York: Basic Books.16. Egan, G. (2010). The skilled helper

Conference Session

Integrating Research

Collection

2012 ASEE Annual Conference & Exposition

Authors

Alison M. Knight, Mayo Clinic; Gillian M. Nicholls, University of Alabama, Huntsville; Paul J. Componation, University of Alabama, Huntsville

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

summary statistics, statistical models were builtto predict exam performance based on the variables outlined in the previous sections. Logisticregression was chosen because of the non-normality of the outcome variable (exam scores) andthe many categorical variables. For a logistic regression model, the outcome variable must bedichotomous. As a result, the exam score variable was transformed to a binary variable with 1indicating the score was 80% or higher (A or B) and 0 indicating the score was less than 80% (C,D, or F). Multinomial regression was considered but rejected because of concerns that there wasnot a large enough sample size for this technique.Instead of one model that predicts the overall course grade, three models were built to

Conference Session

SED Technical Session: Applications

Collection

2019 ASEE Annual Conference & Exposition

Authors

Georgios Georgalis, Purdue University-Main Campus, West Lafayette (College of Engineering); Karen Marais, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Topics

Diversity

Tagged Divisions

Systems Engineering

Lafayette (College of Engineering) Dr. Karen Marais’ educational research focuses on improving systems engineering education. She is the author of several technical publications, including 17 journal papers and two book chapters. She received an NSF CAREER award in 2014. Dr. Marais has worked in engineering for two decades, first in industry and then in academia. She holds a B. Eng. in Electrical and Electronic Engineering from the University of Stellenbosch, a B.Sc. in Mathematics from the University of South Africa, and an S.M and Ph.D. from the Department of Aeronautics and Astronautics at MIT. c American Society for Engineering Education, 2019 Assessment of Project-Based

Conference Session

Systems Engineering Division Technical Session 4 – Systems Thinking Integration and Systems Engineering Skills Evaluation

Collection

2018 ASEE Annual Conference & Exposition

Authors

Peizhu Zhang, Stevens Institute of Technology (School of Systems & Enterprises); Jon Patrick Wade, Stevens Institute of Technology (School of Systems & Enterprises)

Tagged Divisions

Systems Engineering

Learning and Learning Assessment for Systems Engineering Education," in Disciplinary Convergence in Systems Engineering Research, ed: Springer, 2018, pp. 1151-1164.[5] R. N. Charette, "What's wrong with weapons acquisitions?," IEEE Spectrum, vol. 11, pp. 33-39, 2008.[6] J. Wade, W. Watson, D. Bodner, G. Kamberov, R. Turner, B. Cox, et al., "Developing the Systems Engineering Experience Accelerator (SEEA) Prototype and Roadmap," DTIC Document2013.[7] J. P. Wade, G. Kamberov, D. A. Bodner, and A. F. Squires, "The Architecture of the Systems Engineering Experience Accelerator," in INCOSE International Symposium, 2012, pp. 1806-1820.[8] D. A. Kolb, Experiential learning: Experience as the source of

Conference Session

Integrating Systems Engineering into the Capstone Project

Collection

2016 ASEE Annual Conference & Exposition

Authors

Wagdy H Mahmoud, University of the District of Columbia; Sasan Haghani, University of the District of Columbia; Roussel Kamaha

Tagged Divisions

Multidisciplinary Engineering, Systems Engineering

algorithms pertaining to the design; b) the software packagesneeded to develop and verify the correctness of the design; c) the specific hardware platform thatwill be used to implement the design in the hardware; d) the coding language and itsoptimization techniques; and e) understand the use of Intellectual property (IP) components thatcan be used to speed up the application development process.The organization of this paper is as follows. Section II provides an overview the studentpreparation process to help them successfully implement the design project. Section III providesa brief description of various edge detection algorithms. Section IV provides the main steps ofCanny edge detection algorithm. Section V provides a brief description of The

Conference Session

Programs in Support of Systems Engineering Education

Collection

2013 ASEE Annual Conference & Exposition

Authors

Valerie Maier-Speredelozzi, University of Rhode Island; Colleen Grinham; manbir sodhi, University of Rhode Island

Tagged Divisions

Systems Engineering

. Page 23.1127.8Bibliography1. Nathan, M., Tran, N., Atwood, A., Prevost, A., and Phelps, L.A. “Beliefs and Expectationsabout Engineering Preparation Exhibited by High School STEM Teachers.” Journal ofEngineering Education, October, 2010. P. 409-426.2. Katehi, L., Pearson, G., Feder, M., editors. “Engineering in K-12 Education: Understandingthe Status and Improving the Prospects.” Committee on K-12 Engineering Education, NationalAcademy of Engineering and National Research Council. 2009.3. Virani, S. Burnham, I., “Innovative Curriculum for Engineering In High School (ICE-HS):Status Update.” American Society for Engineering Education Annual Conference Proceedings,2012.4. Jain, R., Sheppard, K., McGrath, E., and Gallois, B. “Promoting Systems

Conference Session

Innovations in the IE Curriculum

Collection

2012 ASEE Annual Conference & Exposition

Authors

Ana Vila-Parrish, North Carolina State University; Dianne Raubenheimer, Meredith College

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

reflections located relevant information located in these located in these in these cells B—Articulate uncertainties cells cells Step 2: EXPLORE C— Overall, FIRST Integrate multiple reflections Overall, SECOND perspectives and located in these reflections located clarify assumptions D—Qualitatively cells in these cells interpret information and create a Overall, SECOND meaningful reflections organization