Conference Session

Curricula Innovations in Engineering Economics

Collection

2015 ASEE Annual Conference & Exposition

Authors

Gloria Margarita Fragoso-Diaz, Tarleton State University; Billy Gray, Tarleton State University; Erick Jones, University of Texas, Arlington

Tagged Divisions

Engineering Economy

to students. Therefore,future research needs to be done while using cases in the classroom and more specific analysissuch using test and assignment results in the evaluation. The first step to this research wasaccomplished. We think we achieved some improvement in teaching decision analysis. Thefocus of the next step of our research is to evaluate the students’ calculations in order to evaluatehow the students performed in conjunction with how they though the performed.References 1. Anwar, S., & Ford, P. (2001). Use of a case study approach to teach engineering technology students. International journal of electrical engineering education, 38(1), 1-10. 2. Hackney, R. A., McMaster, T., & Harris, A. (2003). Using cases as a

Conference Session

Industrial Engineering Division Tech Session 2, IE-ing the Classroom

Collection

2017 ASEE Annual Conference & Exposition

Authors

Dia St. John, University of Arkansas; Eric Specking, University of Arkansas

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

on each step. Figure 1: Project Adaptation Framework Cyclea. Identifying Outreach DetailsBefore jumping into activity development, it is important to understand the details of the event.The desired objective(s), location, time frame, budget, number of participants, and participants’age range are all important pieces of information required to shape an effective and appropriateactivity.[13] Misunderstanding or misinterpreting any of these details could produce anineffective activity that squanders resources and provide an inadequate experience forparticipants. For example, 5th and 6th graders would need more explanation and completion timeto successfully complete a project that was designed for 7th and 8th grade

Conference Session

Industrial Engineering Division Tech Session 1: IE-ing a Broader Perspective

Collection

2017 ASEE Annual Conference & Exposition

Authors

Faisal Aqlan, Pennsylvania State University, Erie (Behrend College); Yuan-Han Huang, Pennsylvania State University, Erie (Behrend College); E. George Walters III P.E., Pennsylvania State University, Erie (Behrend College); Osama T. Al Meanazel, The Hashemite University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

0.0613 0.0613 0.0077 Total 29 38.1737 S = 0.0875595 R-Sq = 99.84% R-Sq(adj) = 99.42% Figure 10. Analysis of Variance (ANOVA) summary for the response variable “Moment”7. Learning Analysis and AssessmentGiven that the two courses, Product Design and Work Design, are offered for junior levelstudents, the majority of students had taken to the Introduction to Engineering Design coursewhere students are taught the basics of engineering design processes, methods, and decisionmaking using team design projects. Moreover, several students in the Product Design and Workdesign classes had previous internship experiences. The knowledge and experiences of thestudents brought in different ways of thinking and

Conference Session

Industrial Engineering Division Tech Session 2, IE-ing the Classroom

Collection

2017 ASEE Annual Conference & Exposition

Authors

Paul C. Lynch, Penn State Erie, The Behrend College; Joseph Wilck, College of William & Mary; Amanda Elizabeth VanBuskirk

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

members. In addition, it could be supplemented with tracking howmany students actually emailed the instructor (or teaching assistant) and the frequency of thoseemails. Also, a correlation between some of the student’s communication, attendance, andlearning management system usage versus their course grades could be completed. Further, anANOVA could be completed if demographic, ANGEL usage, email usage, and coursesatisfaction were known for each individual student (currently these are known only at theaggregate level).Bibliography 1. Pew Internet and American Life Project, Available at: http://www.pewinternet.org/. Accessed July 1, 2016. 2. Jones, S. (Principal Author), The Internet Goes to College: How students are living in the future

Conference Session

Engineering Economy Division Technical Session 3

Collection

2016 ASEE Annual Conference & Exposition

Authors

Corey Kiassat, PhD, MBA, PE P.E., Quinnipiac University; Xiaoyue Jiang, Quinnipiac University

Tagged Topics

ASEE Diversity Committee

Tagged Divisions

Engineering Economy

theindividual students’ roles. CATME is a short, web-based survey that collects and analyzes self-and peer-evaluation feedback. A behaviorally-anchored rating scale is utilized to assesscontributions of each team member in five areas based on the team effectiveness literature (Ohlandet al., (2012)23. The grade for each team-based component is multiplied by the CATME factor foreach student and that is the score entered for the student. As such, if a student does not pull his/herweight, s/he is penalized by the rest of the team and gets a lower grade than the rest of the teammembers. Conversely, if a student goes above and beyond the norm, s/he is recognized by theteammates and gets a higher grade than the original team score.It should be noted that

Conference Session

Improving IE Course Content

Collection

2012 ASEE Annual Conference & Exposition

Authors

Leonardo Bedoya-Valencia, Colorado State University, Pueblo; Nebojsa I. Jaksic, Colorado State University, Pueblo

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

Operations Research, John Wiley & Sons, New York.2. Hillier, F. S., and Lieberman, G. J., 2001: Introduction to Operations Research (seventh edition), McGraw-Hill, New York.3. Hosein Anexa, Aczel James, and Clow Doug (2006). “The Teaching of Linear Programming in Different Disciplines and in Different Countries”, In: 3rd International Conference on the Teaching of Mathematics at Undergraduate Level, 30 Jun-5 Jul 2006, Istanbul, Turkey.4. Albritton M.D, McMullen P. R., and gardiner L. R. (2003). “OR/MS content and visibility in AACSB- acreditted U.S. business schools. Interfaces 33 Num 5 page 83-89.5. Winston, W. L. and Venkataramanan M., 2003: Introduction to Mathematical Programming, Brooks/Cole- Thomson Learning

Conference Session

Integrating Engineering Economy into Curricula

Collection

2014 ASEE Annual Conference & Exposition

Authors

Heath J. LeBlanc, Ohio Northern University; Bryan O'Neil Boulanger, Ohio Northern University

Tagged Divisions

Engineering Economy

marketplaceindustries. Orange Inc. was experiencing rapid growth, which caused the online marketplace toexperience a decline in availability. Therefore, Orange Inc. released an RFP for a design-build ofa 50,000-node data center to handle the company’s expanding server needs. The RFP wasreleased to interested “companies” (groups from the CE project management course) whoresponded to the request with a bid submission. ECE students were tasked with developingserver specifications for the data center RFP and acting as Orange Inc. liaisons to the CE“companies” preparing bid proposals. A total of six bids (one from each of the CE “companies”)were submitted to Orange Inc.’s Chief Financial Officer (the ECE instructor) and ChiefDevelopment Officer (the CE instructor

Conference Session

Engineering Economy Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Bradley James Schmid, University of Saskatchewan

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

, and S. Vanderby, “ENGINEERING ECONOMICS TASK FORCE - FINAL REPORT,” 2015.[4] V. Clinton and S. Khan, “Efficacy of Open Textbook Adoption on Learning Performance and Course Withdrawal Rates: A Meta-Analysis,” AERA Open, vol. 5, no. 3, pp. 1–20, 2019.

Conference Session

Engineering Economics Teaching Tools

Collection

2015 ASEE Annual Conference & Exposition

Authors

Shervin Zoghi, California State University, Fresno

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy

26.620.6thinking in terms of groups rather than of individuals.” By understanding and implementing theoutcomes, framework, and tools for actively teaching engineering economics, future engineerscan continue evolving as problem solvers and innovators.References1. Lavelle , J., K. Needy, H. Umphred .”Engineering Economy: A Follow-up Analysis of Current Teaching Practices.” ASEE Annual Conference Proceedings, 1997, Session 1239.2. Johnson, D., R. Johnson, and K. Smith , “Maximizing Instruction Through Cooperative Learning,” ASEE Prism, February 1998, pp. 24-29.3. O’Conner, John. Turning Average Instruction Into Great Instruction. R&L Publication, 2009.4. Bloom, B. S.; Engelhard, M. D.; Furst, E. J.; Hill, W. H.; Krathwohl, D. R. Taxonomy

Conference Session

Engineering Economy Division Technical Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Weihang Zhu, Lamar University; Alberto Marquez P.E., Lamar University; Julia Yoo, Lamar University

Tagged Divisions

Engineering Economy

. Regarding the development of a mobile app for an Engineering Economics course, ourdesigned app has implemented many modules to help students reinforce the key concepts andimprove their problem-solving skills. The pilot study results provide many valuable inputs thatallow continuous improvement of the app. The authors are currently working on a new app witha more engaging game interface. The purpose of the new app is to attract students to maintaintheir interest and to increase their time of using the app to improve their academic performance.After the new app is fully tested and assessed, it will be made available freely through Apple Appstore and Google Play.Reference 1. Ryan, S., Jackman, J., Peters, F., Olafsson, S.: The engineering learning

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

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

Conference Session

Integrating Engineering Economy into Curricula

Collection

2014 ASEE Annual Conference & Exposition

Authors

Christina Jauregui Barboza, Stevens Institute of Technology (SSE)

Tagged Divisions

Engineering Economy

.b Crystal Ball Fit Case Instruction, EM620 course material, Stevens Institute of Technology, (2011).17. Merino, Donald M., “Fall 2011 – Part 3.c Cost Estimation Report Instruction”, EM620 course material, Stevens Institute of Technology, (2011).18. Merino, Donald N,PhD., P.E., & Gandhi, S. J. (2012). SOME OBSERVATIONS FROM THE SPECIAL ISSUE EDITORS ON GREEN ECONOMICS. Engineering Management Journal, 24(4), 1-2. Retrieved from http://ezproxy.stevens.edu/login?url=http://search.proquest.com/docview/1434438772?accountid=1405219. Rana, Vishwajeet. (2011). The Energy Economics of Financial Structuring for Renewable Energy Projects. (Doctoral Dissertation). Retrieved from ProQuest. (3467236).20. Tverberg

Conference Session

Engineering Economy Division Technical Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Isaac W Wait, Marshall University; Sameh M. El-Sayegh, American University of Sharjah; Salwa Mamoun Beheiry, The American University of Sharjah

Tagged Divisions

Engineering Economy

there is less than a 95% probability that the two groups are actually different.The significance of differences in overall student score for the questions of the pre- and post-testwere determined using a one-tailed t-test (Equation 4). x  0 t (Equation 4) s/ nWhere: ̅ = Mean score on concept inventory, end-of-semester = Mean score on concept inventory, beginning-of-semester s = Standard deviation, end-of-semester n = Number of students, end-of-semesterThe internal consistency of the concept inventory was evaluated with the Kuder-RichardsonFormula 20 approach (Equation 5). k   j 1 p j q j  k

Conference Session

Student Development and Assessment in IE Programs

Collection

2012 ASEE Annual Conference & Exposition

Authors

Yaseen Mahmud, Morgan State University; Masud Salimian, Morgan State University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

placed ‘on the clock’. This initiated a timeframe, usually a week,within which students had two challenges to complete in order to be eligible to take that topictest.The first challenge, the student needed to acquire a completely worked-out problem thatillustrated the concept of the just completed topic. This problem could be one of the studentsown devising or from a textbook, class web page, or any other source. The student then wouldschedule an appointment with the instructor to do an oral presentation of the problem. Thestudent would explain step by step the procedure(s) used in the solution of the problem. Thisprovides the instructor an opportunity to examine the students’ critical thinking skills. If thestudent is unable to completely

Conference Session

Innovations in the IE Curriculum

Collection

2012 ASEE Annual Conference & Exposition

Authors

Jane M. Fraser, Colorado State University, Pueblo; Abhijit Gosavi, Missouri University of Science & Technology

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

the complete problem.‖ (http://www.incose.org/practice/whatissystemseng.aspx) 2. A sub-field of electrical engineering. ―[E]mphasis is attached to the use of systems theory in applications [and] … tends to emphasize control techniques which are often software- intensive.‖9 3. A sub-field of industrial and systems engineering. The word ―system‖ is often added to industrial engineering to emphasize the interactions of parts of a system to create the overall behavior of the system. 4. A sub-field of engineering management or technology management. ―[S]ystems engineering includes taking into consideration all aspects of the life cycle of the system. Thus the systems engineering approach is said to

Conference Session

Improving course effectiveness

Collection

2013 ASEE Annual Conference & Exposition

Authors

Gregory L. Wiles P.E., Southern Polytechnic State University; Thomas Reid Ball, Southern Polytechnic State University (ENG)

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

. (2005). A dynamic, systematic method for developing blended learning. Education, Communication & Information, 5(3), 221–232.4. Bassett, E., & Gallagher, S. (2005). Students prefer hybrids to fully online courses. Recruitment & Retention in Higher Education, 19(8), 7–8.5. Gecer, A., & Dag, F. (2012). A blended learning experience. Educational Sciences: Theory & Practice, 12(1), 438–442.6. Musawi, A. S. A. (2011). Blended learning. Journal of Turkish Science Education (TUSED), 8(2), 3–8.7. George-Palilonis, J., & Filak, V. (2009). Blended learning in the visual communications classroom: Student reflections on a multimedia course. Electronic Journal of e-Learning, 7(3), 247–256.8. Scherrer, C. R

Conference Session

Engineering Economy -- Outside the Introductory Course

Collection

2008 Annual Conference & Exposition

Authors

Neal Lewis, University of Bridgeport; Ted Eschenbach, TGE Consulting

Tagged Divisions

Engineering Economy

options analysis, but does not spend significant time on the subject No, we don’t teach real options analysis. 7. Is the course a graduate course or an undergraduate course? We have one or more graduate course(s). How many? We have one or more undergraduate course(s). How many? 8. Please provide the information below. Name City/Town Position State/Province Institution/University Country City/TownResultsResponses to the survey began arriving within hours of the email being delivered to the EED listserve. Over the following 4 weeks, 41

Conference Session

Frontiers in Engineering Economy

Collection

2009 Annual Conference & Exposition

Authors

Philip Brach, University of the District of Columbia; Ahmet Zeytinci, University of the District of Columbia; Pradeep Behera, University of the District of Columbia

Tagged Divisions

Engineering Economy

loan (amortized). Fe e Value (A) P rincipal (Not to s cale) Time Uniform Payment of Principal with Fixed Fee Inte re st on Unpa id Ba la nce Value (B) P rincipa l (Not to s cale

Conference Session

Frontiers in Engineering Economy

Collection

2009 Annual Conference & Exposition

Authors

Neal Lewis, University of Bridgeport; Ted Eschenbach, TGE Consulting; Joseph Hartman, University of Florida

Tagged Divisions

Engineering Economy

consistent in continuousdiscounting of future costs while using discrete discounting of future positive cash flows. Theengineering economy literature is not consistent.The use of discrete or continuous interest rates can have a significant effect on the value of theoption, and the choice of compounding method can change the decision outcome. This is not ameaningless topic. We recommend ensuring that consistent assumptions about compoundingand effective interest rate values be made.References1. Amram, M. and Kulatilaka, N. (1999) Real Options, Harvard Business School Press, Boston.2. Black, F. and Scholes, M. (1973) “The Pricing of Options and Corporate Liabilities,” Journal of PoliticalEconomy, 81(3), 637-654.3. Block, S. (2007) “Are ‘Real Options

Conference Session

Advances in Engineering Economy Pedagogy

Collection

2009 Annual Conference & Exposition

Authors

John Ristroph, University of Louisiana, Lafayette

Tagged Divisions

Engineering Economy

⎞ 1+ g z tIf i = g, then ∑ ⎜ ⎟ equals z-a+1; otherwise equation (9) can be used with r equal to t =a ⎝ 1 + i ⎠ 1+ i . Page 14.552.5 Arithmetic gradients at times a, a+1, …, z lead to sums involving the forms z −a+2 z −a+2s (1 + i ) − a +1 ∑ t (1 + i) −t for present worth or s(1 + i) n

Conference Session

Engineering Economy Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ted Eschenbach P.E., TGE Consulting; Jerome P. Lavelle, North Carolina State University; Neal A. Lewis, Fairfield University

Tagged Divisions

Engineering Economy

University Press, 2020.[14] C. S. Park, Contemporary Engineering Economics, 6th edition. Upper Saddle River, NJ:Pearson, 2016.[15] C. S. Park, Fundamentals of Engineering Economics, 4th edition. New York, NY: Pearson,2019.[16] W. G. Sullivan, E. M. Wicks, and C. P. Koelling, Engineering Economy, 17th edition(supplemented). Upper Saddle River, NJ: Pearson, 2019.[17] J. A. White, K. E. Case, and D. B. Pratt, Principles of Engineering Economic Analysis, 6thedition. Hoboken, NJ: John Wiley & Sons, 2012.[18] J. A. White, K. S. Grasman, K. E. Case, K. LaScola Needy, and D. B. Pratt, Fundamentalsof Engineering Economic Analysis. Hoboken, NH: John Wiley & Sons, 2014.[19] NCEES, FE Reference Handbook 9.5. Clemson, SC: NCEES, 2013.[20] T. G

Conference Session

Innovation in Teaching Engineering Economics

Collection

2006 Annual Conference & Exposition

Authors

Joseph Hartman, Lehigh University

Tagged Divisions

Engineering Economy

decision.While traditional mechanisms of evaluation (homework sets, quizzes, and exams) are good fortesting a student’s knowledge and skill in the use of formal methodologies, such as discountedcash flow analysis, performing a breakeven analysis, or choosing the minimum cost solutionbetween two mutually exclusive alternatives, they do not necessarily allow for examining otherrelevant steps in decision-making (problem-solving). In the problem-based learning context, thegoal is not relegated to knowing how to apply a methodology (i.e. execute a breakeven analysis).Rather, the goal is that a student understands how to (1) formulate a problem from incompletedata; (2) determine what parameter(s) are critical; (3) identify and execute the correct analysis(i.e

Conference Session

Engineering Management Applications

Collection

2012 ASEE Annual Conference & Exposition

Authors

Syed Athar Masood, National University of Sciences & Technology, Rawalpindi, Pakistan

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

necessary ingredient for successful engineeringproject completion?Does any project team member non-commitment 131 6can affect successful completion of engineeringproject?Do you think project manager’s close relations with 134 3his/her project team members contribute towardssuccessful engineering project?Does project management team;s loyalty towards 132 5hid/her project can cause projects overrun in termsof time and cost?Do you think project manager’s promoting a clan 131 6type (family) project culture can contributestowards successful engineering projectcompletion?Data AnalysisIt is evident from the results of the data collected

Conference Session

Effective Tools for Teaching Engineering Economy

Collection

2007 Annual Conference & Exposition

Authors

Phil Rosenkrantz, California State Polytechnic University-Pomona

Tagged Divisions

Engineering Economy

S F W F W S Su F W Su F Instructional 02 02 03 03 04 04 04 04 05 05 05 Assessment n=65 n=54 n=27 n=57 n=25 n=36 n=42 n=32 n=32 n=36 n=27 How effectively does the 1 instructor organize and 4.67 4.31 4.42 4.65 4.44 4.53 4.75 4.63 4.75 4.69 4.56 structure the course? How well does the instructor 2 define and meet objectives 4.68 4.30 4.24 4.62 4.48 4.56 4.52 4.53 4.59 4.57 4.59 of the course? How well does the instructor 3 arouse interest and transmit 4.45 4.11 3.96 4.37 4.00 4.37 4.19 4.41

Conference Session

Industrial Engineering Division Tech Session 2, IE-ing the Classroom

Collection

2017 ASEE Annual Conference & Exposition

Authors

Alejandro Salado, Virginia Tech; John Ray Morelock, Virginia Tech; Arash Baghaei Lakeh, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

work supported by the National Science Foundation Graduate ResearchFellowship Program under Grant No. 1651272. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.ReferencesAmbrose, S. A. (2010). How learning works : seven research-based principles for smart teaching. San Francisco, CA: Jossey-Bass.Ammar, S., & Wright, R. (1999). Experiential learning activities in Operations Management. International Transactions in Operational Research, 6(2), 183.Anfara, V. A., Brown, K. M., & Mangione, T. L. (2002). Qualitative Analysis on Stage: Making the Research Process More Public. Educational

Conference Session

Engineering Economy Division Technical Session 1

Collection

2016 ASEE Annual Conference & Exposition

Authors

Wolter J. Fabrycky P.E., Virginia Tech

Tagged Divisions

Engineering Economy

innovation, suggested to be as in The Functions of the Executive.1 Become acquainted with this human-action based approach promulgated by Holger Thuesen beginning in the 1950’s and subsequently by Paul Torgersen since about 1962. 3) Systems Thinking, suggested to be as in Systems Engineering and Analysis.2,6 Consult this 5th Edition Pearson book and access the no cost supporting materials offered on www.a2i2.com. 4) Finally, note that the general theme and objectives of this paper are being promulgated by the international honor society for systems engineering, showcased on www.omegalpha.org.II. Extending Capital Investment Decision MakingWithout a doubt, capital investment analysis (capital

Conference Session

Instructional Design

Collection

2012 ASEE Annual Conference & Exposition

Authors

Naveen Seth, New Community College at CUNY; Donald P. O'Keefe, Farmingdale State College

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

forrstudents. What were available weere several resources r foccused on thee constructionn industry thhatcould be used to expo ose students to better unnderstand tim me value of m money. Simoonson7 (20055),“Diggingg into Constrruction Dataa” Business Economics-A E April 2005, ddescribes booth free and ppaiddata sourrces. Some free fr resourcees include thee Bureau of Census, the Bureau of E EconomicAnalysis (BEA) and the Bureau of o Labor Staatistics (BLS S). Aside from m a wealth oof informatioon 8about con nstruction laabor in a speccific

Conference Session

Engineering Economy Division Technical Session 3

Collection

2017 ASEE Annual Conference & Exposition

Authors

Ted Eschenbach, TGE Consulting; Jerome P. Lavelle, North Carolina State University; Neal A Lewis, University of New Haven

Tagged Divisions

Engineering Economy

paper is on engineering economy courses rather than the smallernumber of current texts, we have chosen not to develop a table with details of today’s texts. Wewill note however that White, Case, and Pratt (2012)’s third chapter is on borrowing, lending,and investing. The personal finance material in the 12th edition of Newnan’s text is similar to the1st edition. The only significant content additions were brief sections on student loans andretirement accounts. However, the 13th edition by Newnan, Eschenbach, Lavelle, and Lewis(2017) has been heavily influenced by our work on this topic. Other current texts are similar tomost texts in Table 1—personal finance focuses on the time value of money for saving, loanpayments, and retirement

Conference Session

Industrial Engineering Division Tech Session 1: IE-ing a Broader Perspective

Collection

2017 ASEE Annual Conference & Exposition

Authors

Susan O. Schall, SOS Consulting, LLC

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

operational definitions, sampling, andreproducibility of measurement between two or more assessors [12]. Good operationaldefinitions are needed to ensure consistent measurement and evaluation over time. Whileincluded in the Engineering Student Outcomes, ABET does not define multidisciplinary teams(d), contemporary issues (h), life-long learning (i), or modern engineering tools (k). Since ABETdoes not define these terms, it is up to the program to define them in the context of their uniquePEOs and identify indicator(s) appropriately for consistent decision-making (otherwise risk TypeI or Type II errors). Care should also be taken not to combine assessment data from differentlevels of maturation of student knowledge, skills and abilities. “Scores” for

Conference Session

Engineering Economy Division Technical Session 1

Collection

2016 ASEE Annual Conference & Exposition

Authors

K. Jo Min, Iowa State University; John Jackman, Iowa State University; Michelle Zugg, Iowa State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy

positively contributeto the education of engineering majors who will be making critical life-cycle decisions forprojects in the near future.Acknowledgment and DisclaimerThis material is based upon work supported by the National Science Foundation under Grant No.1504912. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. We would like to thank the regular instructor and the teaching assistant, Dr. MikeHelwig and Mr. Fikri Kucuksayacigil, respectively, for their cooperation and contributions suchas accommodation, advice, and a decision-tree based guest lecture. We also would like to thankthe Department of Industrial