Collection

2008 ASEE Zone 1 Conference

Authors

David I. Schwartz

Motivating Engineering Mathematics Education with Game Analysis Metrics David I. Schwartz Rochester Institute of Technology Department of Information Technology GCCIS, 70-2509 +1 585-475-5521 dis[at]it[dot]rit[dot]eduAbstractIn this paper, I develop a system for computational analysis of games that uses scoring functions tomotivate engineering mathematics education. Although many modern videogames have abandoned pointsas an archaic form of representing victory (or defeat

Collection

2008 Northeast Section Meeting

Authors

David I. Schwartz

Motivating Engineering Mathematics Education with Game Analysis Metrics David I. Schwartz Rochester Institute of Technology Department of Information Technology GCCIS, 70-2509 +1 585-475-5521 dis[at]it[dot]rit[dot]eduAbstractIn this paper, I develop a system for computational analysis of games that uses scoring functions tomotivate engineering mathematics education. Although many modern videogames have abandoned pointsas an archaic form of representing victory (or defeat

Collection

2008 ASEE Zone 1 Conference

Authors

Robert Dees; Ken S. Gilliam; Michael J. Kwinn

follows: assume that a multiple choice question with four possible answers has correct answer “D” andis worth one point. The traditional technique requires students to select one right answer, so if a studentanswers “D”, the student receives a 1 or a 0 for all other answers. Conversely, a strictly proper scoringrule requires the student assign probabilities that each possible answer is correct, say A=0.1, B=0.2,C=0.05, D=0.65. The student’s score depends on the scoring rule applied. Under the logarithmic scoringrule, the student would receive ln(0.65) points or -0.43. The scores are obviously bounded by (-∞, 0].Usually, the instructor rank orders students’ scores and then assigns final grades. This situation can beextremely punitive for students

Conference Session

Interdisciplinary Graduate Programs

Collection

2008 Annual Conference & Exposition

Authors

Linda Anthony, Rutgers, The State University of New Jersey; Marjory Palius, Rutgers, The State University of New Jersey; Carolyn Maher, Rutgers, The State University of New Jersey; Prabhas Moghe, Rutgers, The State University of New Jersey

Tagged Divisions

Graduate Studies

New Jersey MARJORY F. PALIUS is Assistant Director of the Robert B. Davis Institute for Learning at the Graduate School of Education of Rutgers, The State University of New Jersey. She conducts research, supports development of new projects, coordinates collaborative research projects and professional development programs, and manages fiscal and administrative operations for the grant-funded institute. She is also a doctoral student in mathematics education at Rutgers and has worked on studies of middle school students’ informal mathematics learning in after-school programs and of teachers making the transition from practitioner to researcher. Her primary research interest is the role of

Collection

2008 Spring ASEE Middle Atlantic Section Conference

Authors

Bassem Alhalabi; M.K. Hamza; Ali Abu-El Humos

stepper motor A. The angle of the incline ( θ ) is measured using a remote cameraand a protractor. The block is attached to a second stepper motor (B) by a thread that is attached to a forcesensor located on the block.To measure the static friction, the block is left free on the incline, and the angle is gradually increased untilthe block starts sliding. The coefficient of kinetic friction is determined by pulling the block up the slope atconstant speed after its initial breakaway. With these parameter, speed, incline angel, force, mass, variousexperiment could be conducted. The details of this experiment are furnished in [4-7]. CONCLUSIONRLE technology is a new modality for many students as well many

Collection

2008 ASEE Zone 1 Conference

Authors

Bassem Alhalabi; M.K. Hamza; Ali Abu-El Humos

stepper motor A. The angle of the incline ( θ ) is measured using a remote cameraand a protractor. The block is attached to a second stepper motor (B) by a thread that is attached to a forcesensor located on the block.To measure the static friction, the block is left free on the incline, and the angle is gradually increased untilthe block starts sliding. The coefficient of kinetic friction is determined by pulling the block up the slope atconstant speed after its initial breakaway. With these parameter, speed, incline angel, force, mass, variousexperiment could be conducted. The details of this experiment are furnished in [4-7]. CONCLUSIONRLE technology is a new modality for many students as well many

Collection

2008 Northeast Section Meeting

Authors

Bassem Alhalabi; M. K. Hamza; Ali Abu-El Humos

stepper motor A. The angle of the incline ( θ ) is measured using a remote cameraand a protractor. The block is attached to a second stepper motor (B) by a thread that is attached to a forcesensor located on the block.To measure the static friction, the block is left free on the incline, and the angle is gradually increased untilthe block starts sliding. The coefficient of kinetic friction is determined by pulling the block up the slope atconstant speed after its initial breakaway. With these parameter, speed, incline angel, force, mass, variousexperiment could be conducted. The details of this experiment are furnished in [4-7]. CONCLUSIONRLE technology is a new modality for many students as well many

Conference Session

Fluid Mechanics Experiments and Laboratories

Collection

2008 Annual Conference & Exposition

Authors

MURAT OKCAY; BILGEHAN UYGAR OZTEKIN

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

in Appendix B.7. DiscussionThe use of PIV technology in fluid flow research is well established and widely accepted.Results from the measurements provide very valuable information about the flow fields to theresearchers and engineers of multiple disciplines. Consequently the aerodynamic design of anautomobile can be improved and the combustion process in the engine inside the sameautomobile could be optimized. Nowadays the technology has also been applied in the area ofMEMS, biomedical, and physiological research and in many other areas.Fluid mechanics is a highly visual subject. During the teaching process one must take fulladvantage of this fact. FLOWEXTM ePIV gives the opportunity to achieve this to its full extentmaking this technology

Conference Session

Lean Manufacturing and Six Sigma in Manufacturing Education 2

Collection

2008 Annual Conference & Exposition

Authors

M. Brian Thomas, Cleveland State University

Tagged Divisions

Manufacturing

airplanes. The production goal was to make 108paper airplanes in a half-hour period – a takt time of 16.7 seconds. Three styles of airplaneswere manufactured in each session: 60 of model “A”; 30 of “B”, and; 18 of “C” (Figure 1).These designs were selected for aesthetics; none were very good flyers. Four airplanes of anymodel fit on a single sheet of 8-½”×11” paper. Each airplane followed the same basicmanufacturing process: 1. TRACE. A three-axis CNC knee mill marked the outlines and fold lines for four airplanes of one type on a sheet of paper taped to the bed. A marker was held in the machine’s tool holder. 2. CUT. The outline was cut with scissors. 3. FOLD. The airplane was folded along the marked lines. 4. TAPE. A short

Conference Session

Assessing Design Coursework

Collection

2008 Annual Conference & Exposition

Authors

Richard Bannerot, University of Houston

Tagged Divisions

Design in Engineering Education

30% of the project grade (or about 7% of the coursegrade) to be determined from a “subjective” evaluation of the artifact (but even thisevaluation was guided by the publicized rubric). The remaining 75% of the grade wasdetermine from individually completed assignments (nine homework assignments, twosmaller projects and two closed book exams) which addressed various aspects of thedesign process. The grades were about one letter grade higher (3.37/4.0 compared to2.47/4.0 or B+ compared to C+) for the team project compared to the individual work.IntroductionDesign is, at least in part, a creative process, and its evaluation can be highly subjective.However, all design requires a fundamental skill set ranging from a keen eye for formand color

Conference Session

Projects & Laboratories in Mechanical ET

Collection

2008 Annual Conference & Exposition

Authors

Joshua Pippin, Frostburg State University; Julie Wang, Frostburg State University

Tagged Divisions

Engineering Technology

(A) (B)Figure 6 (A+B): Wind turbines with different blade design.TestingThe experimental tests were performed in the 24”x 24” wind tunnel (see Figure 7).The wind velocity ranged from 3.0-30.5m/s, or 10.0-100.0 ft/s (0.684 – 68 mile/hr).Figure 7: The Wind Tunnel (ELD Model 406 (A), 24”x 24”)Test Wind Turbine (A)The wind turbine with NACA 4415 airfoil design was tested for minimum base rotationspeed, minimum blade rotation speed, and voltage at maximum allowed wind tunnelspeed. The results are shown in Figure 8.Test Wind Turbine (B)This model was tested using various wind speeds and blade numbers. The tests began byusing three blades with a 15 degree pitch. The blades did not start to rotate until the

Conference Session

Educational Software

Collection

2008 Annual Conference & Exposition

Authors

Cameron Wright, University of Wyoming; Michael Morrow, University of Wisconsin - Madison; Mark Allie, University of Wisconsin - Madison; Thad Welch, Boise State University

Tagged Divisions

Computers in Education

@engr.wisc.eduThad Welch, Boise State University Thad B. Welch, Ph.D, P.E., is Head of the Department of Electrical and Computer Engineering at Boise State University, Boise, ID. His research interests include the implementation of communication systems using DSP techniques, DSP education, multicarrier communication systems analysis, and RF signal propagation. He is a member of ASEE, IEEE, Tau Beta Pi, and Eta Kappa Nu. E-mail: t.b.welch@ieee.org Page 13.1352.1© American Society for Engineering Education, 2008 Using Real-time DSP to Enhance Student Retention and Engineering Outreach Efforts

Conference Session

Information Technologies Classroom Instruction

Collection

2008 Annual Conference & Exposition

Authors

Mohammad Dadfar, Bowling Green State University

Tagged Divisions

Information Systems

AC 2008-2882: NETWORK PROCESSES COMMUNICATION: CLASS PROJECTSMohammad Dadfar, Bowling Green State University MOHAMMAD B. DADFAR Mohammad B. Dadfar is an Associate Professor in the Computer Science Department at Bowling Green State University. His research interests include Computer Extension and Analysis of Perturbation Series, Scheduling Algorithms, and Computers in Education. He currently teaches undergraduate and graduate courses in data communications, operating systems, and computer algorithms. He is a member of ACM and ASEE. Page 13.925.1© American Society for Engineering Education, 2008 Network

Collection

2008 Spring ASEE Middle Atlantic Section Conference

Authors

Junichi Kanai

General Category Sponsor A Sponsor B Project X Project Y Project Y Course Documents Spring 2006 Fall 2005 Spring 2006 Course Guidelines MDL FAQ Forum FAQ Knowledge Base and Plicies Figure 1. Structure of the MDL Projects ForumUsers are allowed to start (post) new topics (messages), read messages, reply to a message, and attachfiles

Collection

2008 ASEE Zone 1 Conference

Authors

Junichi Kanai

General Category Sponsor A Sponsor B Project X Project Y Project Y Course Documents Spring 2006 Fall 2005 Spring 2006 Course Guidelines MDL FAQ Forum FAQ Knowledge Base and Plicies Figure 1. Structure of the MDL Projects ForumUsers are allowed to start (post) new topics (messages), read messages, reply to a message, and attachfiles

Conference Session

Emerging Information Technologies

Collection

2008 Annual Conference & Exposition

Authors

Curtis Welborn, Utah Valley State College; Reza Sanati-Mehrizy, Utah Valley State College

Tagged Divisions

Information Systems

relationships would add unnecessary complexity to this paper. Page 13.1194.8References[1] James F. Allen, “Maintaining Knowledge about Temporal Intervals”, Communications of the ACM, pp. 832-843, 1983.[2] James F. Allen, “Towards a General Theory of Action and Time”, Artificial Intelligence 23 pp. 123-154, 1984.[3] Reza Sanati Mehrizy, Curtis Welborn, Afsaneh Minaie, ”Representing and Enforcing Business Rules in Relational Data Model”, American Society for Engineering Education (ASEE) 2006.[4] J. A. Hoffer, M. B. Prescott and F. R. McFadden, “Modern Database Management”, Seventh Edition, Prentice Hall, 2005.[5] A

Conference Session

History and Future of Engineering Technology

Collection

2008 Annual Conference & Exposition

Authors

Digendra Das, SUNYIT

Tagged Divisions

Engineering Technology

current structure of the organization: a) Select a proper location for the office of the NYNBIT incubator at SUNYIT. b) Procure office furniture and computers, printers and other peripherals. c) Set up the furniture and the computers and its peripherals in the office and establish the net work connections. d) Identify and select the members for an Executive Advisory Board. Initially the board was constituted with four members selected from the federal government, local industries and the small business development center (SBDC). One of the members acted as the chairman of the board. The board advised the director of the NYNBIT incubator in all aspects of the project. e) A Research and Development Advisory

Conference Session

Reaching Students: Innovations to Curriculum in ET

Collection

2008 Annual Conference & Exposition

Authors

David Myszka, University of Dayton

Tagged Divisions

Engineering Technology

be on an alternative method, namely, practicum exams. This paperincludes a statistical correlation of student performance at the University of X on primary andalternative measures. Additionally, student and instructor reactions to the methods at Universityof X will be offered.IntroductionA course that introduces mechanical measurements, instrumentation and experimentationtechniques has continually been an essential part of mechanical engineering and engineeringtechnology programs. In many curricula, this course can single-handedly satisfy a programoutcome required of the primary accreditation agency, ABET[6]. b. “Students must have the ability to conduct, analyze and interpret experimental and apply experimental results to

Conference Session

Successful Outcomes of Student Entrepreneurship

Collection

2008 Annual Conference & Exposition

Authors

Stuart Kellogg, South Dakota School of Mines and Technology

Tagged Divisions

Entrepreneurship & Engineering Innovation

this might be so, consider the Herrmann Whole BrainModel3 shown below. Page 13.1189.3 a. First Year Students b. Senior Engineering Students Figure 1. HBDI Thinking Preference Profiles for Engineering StudentsFirst Year students, even engineering students, are typically all over the map in terms of learningstyles or thinking preference profiles (Fig. 1.a.). However the average thinking preference curvefor engineering students tends to be significantly more concentrated in the engineering or rationalself of the whole brain model (Fig. 1.b.). While much of the engineering work requirescoordination (green), systems design and

Conference Session

Alternative Energy Source Projects

Collection

2008 Annual Conference & Exposition

Authors

Mark Henderson, Arizona State University; Bradley Rogers, Arizona State University

Tagged Divisions

Energy Conversion and Conservation

and questions that have arisen, and modified subsequentschedules and responsibilities accordingly. As an example of this planning, the Engineeringteam developed the following plan for the meetings with KNUST faculty on January 4th andstudents and the subsequent trip to Biemso on the 5th. Page 13.1216.6Answers we are seeking:1. Is jatropha oil (or any oil based on a similar plant with similar extraction procedures) currently extracted with proficiency in area of interest?2. Assuming 1 is true, what mechanism is being used to extract the oil? a. What processes for extraction b. Growth of the plant – (Economic problem) c

Conference Session

Software Engineering Course Content

Collection

2008 Annual Conference & Exposition

Authors

Bruce Maxim, University of Michigan - Dearborn

Tagged Divisions

Software Engineering Constituent Committee

: Final report Section HeadingsSection Heading 1 Cover Page 2 Acknowledgments 3 Table of Contents 4 Introduction/Overview 5 Requirements/Analysis Model 6 Hardware/Software Design 7 Implementation Details 8 Testing/SQA 9 Future Maintenance Suggestions 10 Client Acceptance Letter 11 References & Bibliography 12 Appendix A - User Manual 13 Appendix B - Program Listing, Sample Output, Diskette 14 Appendix C - Team Member Resumes 15 Appendix D - Project Plan & Log Book 16 Appendix E - Project Demo Notes

Collection

2008 Spring ASEE Middle Atlantic Section Conference

Authors

Dean M. Aslam; Zongliang Cao; Cyrous Rostamzadeh

of experiments are reported in this paper focusing on learning of a number ofareas including materials, engineering (EE&ME), computers, and microsystems. The PLVDG-basedlearning modules will be marketed by Nanobrick.com.Introduction The prevalence of new technologies in old and new consumer products emphasizes the need to explain toboth the formal and informal learner about (a) technologies that are in the market today as well as those that willbe there in the near future and (b) how these technologies are used to build micro- and nano-systems. As theexplanation of the underlying concepts in new technologies can be very challenging , traditionally efforts toincrease impact of informal as well as formal learning techniques have focused

Collection

2008 ASEE Zone 1 Conference

Authors

Dean M. Aslam; Zongliang Cao; Cyrous Rostamzadeh

of experiments are reported in this paper focusing on learning of a number ofareas including materials, engineering (EE&ME), computers, and microsystems. The PLVDG-basedlearning modules will be marketed by Nanobrick.com.Introduction The prevalence of new technologies in old and new consumer products emphasizes the need to explain toboth the formal and informal learner about (a) technologies that are in the market today as well as those that willbe there in the near future and (b) how these technologies are used to build micro- and nano-systems. As theexplanation of the underlying concepts in new technologies can be very challenging , traditionally efforts toincrease impact of informal as well as formal learning techniques have focused

Collection

2008 Northeast Section Meeting

Authors

Dean M. Aslam; Zongliang Cao; Cyrous Rostamzadeh

of experiments are reported in this paper focusing on learning of a number ofareas including materials, engineering (EE&ME), computers, and microsystems. The PLVDG-basedlearning modules will be marketed by Nanobrick.com.Introduction The prevalence of new technologies in old and new consumer products emphasizes the need to explain toboth the formal and informal learner about (a) technologies that are in the market today as well as those that willbe there in the near future and (b) how these technologies are used to build micro- and nano-systems. As theexplanation of the underlying concepts in new technologies can be very challenging , traditionally efforts toincrease impact of informal as well as formal learning techniques have focused

Collection

2008 Spring ASEE Middle Atlantic Section Conference

Authors

Harry Knickle; Don Gray

Adding Automatic Control to the Senior Laboratory Experience Harry Knickle and Don Gray Chemical Engineering, URI ASEE 2008, West PointDepartment of Chemical Engineering, University of Rhode Island knickle@egr.uri.eduIntroduction and BackgroundOur program has 2 semesters of senior laboratory requiring a total of 4 credits. We alsohad a second semester junior level required data acquisitions and control laboratory for 2credits. The Department decided to drop the junior course and integrate data acquisitionand control into the senior lab courses. One objective was to reduce the credit load.Another objective was to introduce larger

Collection

2008 Northeast Section Meeting

Authors

Harry Knickle; Don Gray

Adding Automatic Control to the Senior Laboratory Experience Harry Knickle and Don Gray Chemical Engineering, URI ASEE 2008, West PointDepartment of Chemical Engineering, University of Rhode Island knickle@egr.uri.eduIntroduction and BackgroundOur program has 2 semesters of senior laboratory requiring a total of 4 credits. We alsohad a second semester junior level required data acquisitions and control laboratory for 2credits. The Department decided to drop the junior course and integrate data acquisitionand control into the senior lab courses. One objective was to reduce the credit load.Another objective was to introduce larger

Collection

2008 ASEE Zone 1 Conference

Authors

Harry Knickle; Don Gray

Adding Automatic Control to the Senior Laboratory Experience Harry Knickle and Don Gray Chemical Engineering, URI ASEE 2008, West PointDepartment of Chemical Engineering, University of Rhode Island knickle@egr.uri.eduIntroduction and BackgroundOur program has 2 semesters of senior laboratory requiring a total of 4 credits. We alsohad a second semester junior level required data acquisitions and control laboratory for 2credits. The Department decided to drop the junior course and integrate data acquisitionand control into the senior lab courses. One objective was to reduce the credit load.Another objective was to introduce larger

Conference Session

ECE Poster Session

Collection

2008 Annual Conference & Exposition

Authors

Asad Azemi, Pennsylvania State University

Tagged Divisions

Electrical and Computer

. Trout, J., V. Eligeti, and J. Prey, “Classroom Presentations Using Tablet PC and WriteOn,” Proceedings of the Frontiers in Education Conference, 2005, S3F1-S3F5.8. Simon, B., et al. “Preliminary Experiences with a Tablet PC Based System to Support Active Learning in Computer Science Courses” in Proc SIGCSE (Norfolk, Virginia), March 2004.9. National Instruments Corporation, Austin TX.10. The MathWorks, Inc., Natick, MA 01760-209811. Saba Software Inc., Redwood Shores, CA 94065. Page 13.1158.5Figure 1. Sample of a daily agenda Example 3 Find the Thevenin equivalent with respect to the terminals

Conference Session

Continuous Improvement & Assessment of ET Programs

Collection

2008 Annual Conference & Exposition

Authors

Nasser Alaraje, Michigan Technological University; Guy Hembroff, Michigan Technological University

Tagged Divisions

Engineering Technology

ABET’s (a) through (k)outcomes1 shown in Table 1 as Outcomes 1 through 11 as well as ABET’s Electrical/Electronics Page 13.1224.2Engineering Technology Program Criteria Outcomes1 shown in Table 1 as Outcomes 12 through16. Table 1 Electrical Engineering Technology Program Outcomes 1 An appropriate mastery of the knowledge, techniques, skills and modern tools of the discipline Outcome 1 (ABET 2.a ) An ability to apply current knowledge and adapt emerging applications of mathematics, Outcome 2 science, engineering and technology (ABET 2.b ) An ability

Conference Session

Professional Skills and the Workplace

Collection

2008 Annual Conference & Exposition

Authors

Johannes Strobel, Purdue University, West Lafayette; Monica Cardella, Purdue Engineering Education

Tagged Divisions

Educational Research and Methods

solving describes eleven different problem-types mapped ona four-dimensional scale. Real world problems are more likely to be compound problemsmeaning they contain a variety of different problem types. This paper describes the findings oftwo studies, (a) a single-case study of a steel engineer and (b) a multi-case study comparing thefindings to 90 problem-solving narratives of other engineers. Both studies are located in a US-American context. Results confirm that real-world problems are intertwined problems(compound problems) and that transitions from one problem type to another within a compoundproblem are a unique class of problems themselves. These ‘transition problems’ have properties,which are not represented in other problem types, and