Conference Session

Improving course effectiveness

Collection

2013 ASEE Annual Conference & Exposition

Authors

Susan L. Murray, Missouri University of Science & Technology; Julie Phelps, Missouri S&T, Educational Technology

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

management, and engineering education. Prior to her academic position, she spent seven years working in industry including two years at NASA’s Kennedy Space Center.Mrs. Julie Phelps, Missouri S&T, Educational Technology Julie Phelps has a B.S. in Education from The University of Missouri, Columbia and a M.A. in Informa- tion & Learning Technology from The University of Colorado - Denver. She has 17 years of teaching experience and has facilitated professional development for K-12 teachers for 10 years. Since 2010, she has been applying her experiences with teaching, technology, and professional development into higher education as an instructional designer. At Missouri S&T, she assists faculty in course

Conference Session

Innovative IE Curricula

Collection

2013 ASEE Annual Conference & Exposition

Authors

Masud Salimian, Morgan State University; Yaseen Mahmud, Morgan State University; Avis L. Ransom, Morgan State University School of Engineering

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

become more competitive in the internationalmarket resulting in the obvious domestic benefits. Another is the impact on the environment.Even a small increase in overall efficiency of U.S. commercial and industrial buildings wouldreduce the U.S.’s carbon footprint significantly.Currently, the U.S. workforce is not adequately trained in the area of energy efficiency. TheDepartment of Energy recognizes this fact and is attempting to remedy this with programs suchas the Energy Efficient Buildings Hub and the continued support and recent expansion ofIndustrial Assessment Centers 2. However at the present time, those providing "energyefficiency" services are typically either too technical in their approach such as researchers andprofessors; or possess

Conference Session

Engineering Economy Division Technical Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Lizabeth T Schlemer, California Polytechnic State University

Tagged Divisions

Engineering Economy

price model was developed when I worked for Unocal Corporation in the1980’s. It is based on theories developed in finance and engineering economy that are similar tothe “discounted cashflow” method of stock evaluation (Rahgozar, 2008, Becchetti et all, 2004,Rawley et al 2006). When at Unocal, my colleagues and I in the strategic planning departmentbuilt a model to forecast the stock price of Unocal during the take over fight with T. BoonePickens (McCoy, 1985). We used the model to predict the change in the stock price asinformation was relayed to the investment community. It was very accurate and was extremelyhelpful in the take over defense.The point of this project, as it was in the case of Unocal’s stock price model, is not to develop amodel

Conference Session

Innovative IE Course Content

Collection

2013 ASEE Annual Conference & Exposition

Authors

Connie Gomez, Galveston College; Heidi A. Taboada, University of Texas, El Paso; Jose F. Espiritu, University of Texas, El Paso

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

University of Hertfordshire, (b) LEED Building site with sample features, (c) PFNC Design for an $8,000 home using shipping containers for low income families in Mexico, and (d) Thinnest house in the world designed by Polish architect J. SzczensyStudents are then asked to consider the typical home designed in the 1950’s, such as the one inFigure 4. During this time, home designs have one bathroom for the use of the entire family.When this is placed in contrast to the number of bedrooms and baths in their Dream Home,students are asked, “Why do they need so many bathrooms?” given that people today are notdifferent physically from those in the 1950’s. Students quickly realize that the needs of theindividual have not

Conference Session

Innovative IE Course Content

Collection

2013 ASEE Annual Conference & Exposition

Authors

Julie Ann Layton, Rensselaer Polytechnic Institute; Thomas Reed Willemain, Rensselaer Polytechnic Institute

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

age where largeamounts of data are being collected with a growing need for those that can make “data-drivendecisions” [3]. McKinsey Global Institute, a business and economic research firm, claims thatwith the growth of digital data, the United States is going to need an additional 140,000 to190,000 analysts and more than 1.5 million managers capable of performing data analysis [4].Additional calls have been made for more statisticians in the federal system, working in placessuch as the Bureau of Labor Statistics or the United States Census Bureau [5].These pleas are not new, however; even in the early 1980’s authors were writing about the needto make the field of statistics as a separate discipline [6] and recognizing the growing need

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

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

Improving course effectiveness

Collection

2013 ASEE Annual Conference & Exposition

Authors

Richard L Marcellus, Northern Illinois University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

applied probability itself, butalso for the nature of problems. They should understand structuring problems and posing problems.They should be informed that there is a spectrum of problems, ranging from well-structuredproblems with definite answers and clear boundaries, such as are found in traditional textbooks (andnowhere else), and open-ended, ill-structured problems, such as are found in the engineeringworkplace. The essential and unique point is that learners s must pose, clarify, and define problems,not simply solve them.And, at the same time, learners should practice metacognitive skills such as reflecting on how theyare building these schemes. Metacognitive activities are manifold and not easy to classify. Howeverthere is widespread

Conference Session

Innovative IE Curricula

Collection

2013 ASEE Annual Conference & Exposition

Authors

Saylisse Davila, University of Puerto Rico, Mayaguez Campus; Viviana I. Cesani, University of Puerto Rico, Mayaguez Campus; Alexandra Medina-Borja, University of Puerto Rico at Mayaguez

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

Distinguished IE professor in 2003 and 2010, and as Distinguished Industrial Engineer for the Year 2010 by the College of Engineers and Land Surveyors of Puerto Rico.Dr. Alexandra Medina-Borja, University of Puerto Rico at Mayaguez Alexandra Medina-Borja earned her Ph.D. and M.S. in Industrial and Systems Engineering from Virginia Tech. and holds a Production Engineering degree from the Federal University of S˜ao Carlos in S˜ao Paulo, Brazil. Medina-Borja has concentrated her work in areas related to the effective design and analysis of service delivery systems. Her main research contribution has been to advance a model for the performance evaluation of nonprofit social services by adapting Data Envelopment Analysis formulations

Conference Session

Innovative IE Curricula

Collection

2013 ASEE Annual Conference & Exposition

Authors

Yunchen Huang, Mississippi State University; Lesley Strawderman, Mississippi State University; John M. Usher P.E., Mississippi State University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

: Author.4. Hesli, V., Fink, E., &Duffy, D. (2003). Mentoring in a positive graduate student experience: Survey results from the Midwest region, Part I. PS: Political Science and Politics, 36(3), 457-460.5. Wankat, P. C. & Oreovicz, F. S. (2005). Teaching prospective engineering faculty how to teach. International Journal of Engineering Education, 21 (5), 925-9306. Torvi, D. A. (1994). Engineering graduate teaching assistant instructional programs: training tomorrow's faculty members, Journal of Engineering Education, 2-5.7. Shannon, D. M., Twale, D. J. & Moore, M. S. (1998). TA teaching effectiveness: The impact of training and teaching experience. The Journal of Higher Education, 69, 440-466.8. DeChenne, S.E

Conference Session

Improving course effectiveness

Collection

2013 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

Economics: • Interest rate formulas • Decision making using Net Present Value Probability and Statistics: • Random variables • Means, variances, and standard deviations • Addition and multiplication laws of probability • Random variables • Conditional probabilities • Distribution and density functions Operations Research: • Decision variables • Objective functions • Optimal solution(s) • Linear programs • Integer programs • Average wait in a queue • Average Length of a queue Production Planning and Control: • Forecasting • Economic Order Quantities and Newsboy Models