Conference Session

Multidisciplinary Course Innovation

Collection

2009 Annual Conference & Exposition

Authors

Michael Ciaraldi, Worcester Polytechnic Institute; Eben Cobb, Worcester Polytechnic Institute; Fred Looft, Worcester Polytechnic Institute; Robert Norton, Worcester Polytechnic Institute; Taskin Padir, Worcester Polytechnic Institute

Tagged Divisions

Multidisciplinary Engineering

14.428.6 (a) (b) (c) (d) (e) (f)Figure 1: Robots designed by RBE 2001 students as their final project: (a)Rappelling robot that uses fishing line to lower itself from the table to thefloor. (b) Somersaulting robot – name says it all. (c) Light-seeking robot thatturned towards the brightest spot in the room. (d) A hexapod that used 3 PIDcontrolled DC motors. (e) A ping-pong ball shooting robot with a custommade shooter mechanism. (f) A fork-lift robot with a fourbar linkage design. Page

Collection

2009 Spring ASEE Middle Atlantic Section Conference

Authors

. Column (a) shows the percentage of students who gave the correct answer, at point P, with correct reasoning. Column (b) shows the percentage of students who stated that the center of mass is to the left of point P. Column (c) shows the percentage of students who stated that the center of mass is to the right of point P. Question: Is the center of mass to the left of P, to the right of P, or at P? Introductory calculus- (a) At point P (b) To the left (c) To the right based course - listed by (correct ) of point P of point P cohort UW 121 (2 sections; N = 90

Collection

2009 Northeast Section Meeting

Authors

Luanna S. Gomez

. Column (a) shows the percentage of students who gave the correct answer, at point P, with correct reasoning. Column (b) shows the percentage of students who stated that the center of mass is to the left of point P. Column (c) shows the percentage of students who stated that the center of mass is to the right of point P. Question: Is the center of mass to the left of P, to the right of P, or at P? Introductory calculus- (a) At point P (b) To the left (c) To the right based course - listed by (correct ) of point P of point P cohort UW 121 (2 sections; N = 90

Conference Session

Computers and Software in Teaching Mathemathetics

Collection

2009 Annual Conference & Exposition

Authors

Marilyn Reba, Clemson University

Tagged Divisions

Mathematics

-Centered Activities for Large-Enrollment University Physics (SCALE- UP)." Presented at the Sigma Xi Forum: "Reshaping Undergraduate Science and Page 14.781.6 Engineering Education: Tools for Better Learning", Minneapolis, MN (unpublished).2. Reba, M., and B. Weaver. (2007)"Tablet PC-Enabled Active Learning in Mathematics: A First Study." In Proceedings of the International Workshop on Pen-Based Learning Technologies (IEEE), 10-16.3. Bransford, J. D., and A. L. Brown. (1999). How People Learn: Brain, Mind, Experience, and School. National Academy of Sciences Press.4. Meyers, C., and T. B. Jones. (1993). Promoting Active

Conference Session

Advances in Engineering Economy Pedagogy

Collection

2009 Annual Conference & Exposition

Authors

Abhijit Gosavi, Missouri University of Science and Technology

Tagged Divisions

Engineering Economy

, (b) using a combination of DAVN and EMSR todetermine the seat-allocation for a small network with 5 legs, and (c) usingpriceline.com or some other travel website to obtain trends on how airlineprices are changed over time by the airlines especially in the last few daysbefore takeoff. Most of the projects had a significant programming Page 14.1149.6component since practicing revenue managers are expected to be verycomfortable with computer programming.4. OutcomesTeaching the course resulted in numerous outcomes that will be describedhere. Unfortunately, no student evaluations were available because theinstructor (author) had already resigned from the department

Conference Session

Outstanding Contributions to Mechanical Engineering Education

Collection

2009 Annual Conference & Exposition

Authors

Hakan Gurocak, Washington State University, Vancouver; Linda Chen, Washington State University Vancouver; Dave Kim, Washington State University, Vancouver; Amir Jokar, Washington State University, Vancouver

Tagged Divisions

Mechanical Engineering

at theperformance criteria for each of the program outcomes (Appendix). To be measurable, eachperformance criteria had to start with an action verb, such as “apply”, “choose”, “analyze”,“validate”, corresponding to the levels of learning. The performance criteria were then presentedto the Industry Advisory Board for their input and approval.We developed 38 performance criteria for the 11 program outcomes. In the next step the PCswere mapped to the curriculum (Figure 1). Page 14.258.3 A A A A A A A B B B B C C C C D D D E E E F Course

Conference Session

Recruitment and Retention in Engineering Technology Programs

Collection

2009 Annual Conference & Exposition

Authors

Gene Harding, Purdue University; Benjamin Scott, Purdue University

Tagged Divisions

Engineering Technology

-board am mplifiers withh a professional-grade am mplifier, whiichwould bee fun for the students andd provide a basis b for disccussing circuuit issues likke power andddistortionn.The instrructor set up a directed project p coursse3 for each of o the projeccts and two students s signnedup to do them (one fo or each projeect). Unfortunately, the student invoolved in the power suppllyproject moved m away before finishhing it. The Audio Test Bed (ATB), on the otheer hand, wascompleteed. The

Conference Session

Trends in Construction Engineering Education I

Collection

2009 Annual Conference & Exposition

Authors

Gouranga Banik, Southern Polytechnic State University

Tagged Divisions

Construction

. Page 14.372.9Appendix-A Construction Management Department, SPSU Course outcome Evaluation and Recommendation FormCourse: Semester/Year:Mark an “X” for A= Strongly agree, B= Agree, C= No Comment, D= Disagree, E= Stronglydisagree1. The course improved my ability in problem solving skills. A B C D E2. The course improved my ability to communicate my views clearly in temporary structures A B C D E3. The course helped me to develop an understanding of the ways in which temporary structures work A B

Conference Session

Teams and Teamwork in Design I

Collection

2009 Annual Conference & Exposition

Authors

Joel Dillon, United States Military Academy; Jill Cheney, United States Military Academy

Tagged Divisions

Design in Engineering Education

that focus on the social aspects of engineering education, toproviding students with an opportunity to learn important teamwork skills that will transferdirectly to their future careers.A common problem for instructors in courses that teach team-based design is deciding how toform effective student design groups. There are many methods available, some of which requiremore or less preparation than others. Some examples of team-selection methods were presentedby Shen et. al. in 2007 and include: (a) Let the students choose their own teams. (b) Use the alphabetical class order in the register. (c) Use the university student number code order. (d) Select team members based on previous performance. (e) Select groups based on a

Conference Session

Laboratory Development in ECE Education

Collection

2009 Annual Conference & Exposition

Authors

Ahmed Rubaai, Howard University; Ramesh Chawla, Howard University

Tagged Divisions

Electrical and Computer

desired speed control output. The general state equationsfor a system are: x& ? Ax − Bu (2) y ? Cx − DuStudents used the speed ( ψ ) and current ( i ) as the state variables x1 and x 2 ; and voltage ( v ) asthe input u which gives the following state equations: d  x1   /b / J KT / J   x1   0  ? − u dt  x 2   / K b / L / R / L   x 2  1 / L

Collection

2009 Pacific Southwest Section Meeting

Authors

Xiaomin Jin; Dennis Derickson; Simeon Trieu; Samuel O. Agbo

signal process DSPlab). The expanded lab area in room 20-315 now contains our new set of laboratory exercises 5through 9. The original room utilizes the old laboratory experiments 1-4. We place six teachingbenches with two set of experimental setups, as shown in the Fig. 2 below. The students will bein two groups (group A and group B) and switch experiments every two weeks.The following objectives were achieved with the laboratory expansion and upgrade: 1. Increase enrollment from 9 to 18 students per laboratory section. It is estimated that the EE department’s $60k expansion cost will be repaid in less than 3 years by reducing teaching hour demands for the course. 2. For each experiment with large capital expense, equipment

Conference Session

Sustainable Education and the Environment

Collection

2009 Annual Conference & Exposition

Authors

Elaine Scott, Seattle Pacific University; John Lindberg, Seattle Pacific University

Tagged Divisions

Energy Conversion and Conservation

Outcomes3 I. Competence (a) an ability to apply knowledge of mathematics, science, and engineeringDemonstrates knowledge indisciplinary field. (b) an ability to design and conduct I.A. Applies knowledge of mathematics, science, and experiments, as well as to analyze and engineering, and inquiry and critical-thinking

Conference Session

Software Engineering Teaching Techniques

Collection

2009 Annual Conference & Exposition

Authors

Janusz Zalewski, Florida Gulf Coast University; Andrew Kornecki, Embry-Riddle Aeronautical University; Jerzy Nogiec, Fermi National Accelerator Lab

Tagged Divisions

Software Engineering Constituent Committee

learning process, a basic series of laboratory experiments to be performed bythe students has been created. The sequence addresses the issues of timing, multi-tasking, sharedresources and locking, communication, signals and interrupts, and scheduling. As the operatingsystem plays an important role in developing real-time software, the experiments focus on usingthe kernel primitives by the application programs. The experiments were designed to becompleted by a student during a single semester, or during a course of independent study, whilelearning the appropriate theory component in the classroom. Each lab experiment contains the following sections: a) introduction, b) objectives, c)description, d) example program, e) procedures, f) follow-on

Conference Session

Signal Processing Education

Collection

2009 Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

AC 2009-708: THE DSP OF AN UNSTABLE FINANCIAL ACCOUNTThad Welch, Boise State University Thad B. Welch, Ph.D, P.E., is with the Department of Electrical and Computer Engineering at Boise State University, Boise, ID where he is a Professor and Chair of the Department. Dr. Welch's research interests include the implementation of communication systems using DSP-based techniques, DSP education, and RF signal propagation. He is a member of ASEE, IEEE, Tau Beta Pi, and Eta Kappa Nu. E-mail: t.b.welch@ieee.orgCameron Wright, University of Wyoming Cameron H. G. Wright, Ph.D, P.E., is with the Department of Electrical and Computer Engineering at the University of Wyoming, Laramie, WY. His research

Conference Session

Engineering and Mathematics Potpourri

Collection

2009 Annual Conference & Exposition

Authors

Athanasios Tsalatsanis, University of South Florida; Ali Yalcin, University of South Florida; Autar Kaw, University of South Florida

Tagged Divisions

Mathematics

student and a condition attribute designates an attributeincluded in the student profile. In most cases where a decision needs to be reached, an additional Page 14.218.4attribute, decision attribute, is incorporated in the data set. A system that encapsulates all objects,condition attributes and decision attributes is called a decision system/table.Table 2 shows a part of the decision table used in this study. The attribute Performance is thedecision attribute which indicates if a student has received a passing (A, B, C) or a failing grade(D, F) in the course. Table 2. Decision Table

Collection

2009 Pacific Southwest Section Meeting

Authors

Claudia Lee; Andrew Zepfel; Nina Timberlake; Larry Grill; Sean Gallagher

0.5 0.2 0 450 500 550 600 650 510 560 610 660 710 wavelength (nm) wavelenght (nm) Figure 2, Emission spectra of an infected leaf under A) 365nm UV and B) 480nm excitation illumination. Area 1 expressed visually detectable fluorescence. Area 2 was far from the point of infection and is used as a reference.GFP could be excited by blue (480nm) light as

Conference Session

Professional Development in Materials Engineering

Collection

2009 Annual Conference & Exposition

Authors

Barry Dupen, Indiana University-Purdue University, Fort Wayne

Tagged Divisions

Materials

plotting “A vs. B” means Page 14.1139.2 • understand dependent & independent variables • display lab data and an empirically-derived curve on the same graph • use regression routines • report outliers • display small data sets (3 data points) • compare multiple data sets • draw freehand curves with Excel’s drawing tool when regression routines are unavailableIn the first semester, I introduced a general handout which explains how to create engineeringgraphs. Poor performance on subsequent graphing assignments showed that few students paidattention to the handout. Instead, students responded better to

Conference Session

Project-Based Learning in ECE Education

Collection

2009 Annual Conference & Exposition

Authors

Ed Doering, Rose-Hulman Institute of Technology; Sam Shearman, National Instruments

Tagged Divisions

Electrical and Computer

modulation (PAM) signal: a. pam_SignalPointMapper.vi -- http://cnx.org/content/m18570 b. pam_RectanglePulse.vi -- http://cnx.org/content/m18454 c. pam_ManchesterPulse.vi -- http://cnx.org/content/m18466 d. pam_TransmitFilter.vi -- http://cnx.org/content/m18472 e. pam_TransmitSync.vi -- http://cnx.org/content/m18478 2. Receiver bitstream regeneration: a. regen_Correlator.vi -- http://cnx.org/content/m18579 b. regen_SampleHold.vi -- http://cnx.org/content/m18621 c. regen_BitstreamBuffer.vi -- http://cnx.org/content/m18494 3. Utility functions: a. util_BitstreamFromRandom.vi -- http://cnx.org/content/m18528 b. util_AWGNchannel_PtByPt.vi -- http://cnx.org

Conference Session

ERM Potpourri

Collection

2009 Annual Conference & Exposition

Authors

Jill Nelson, George Mason University; Margret Hjalmarson, George Mason University

Tagged Divisions

Educational Research and Methods

that the system was an accumulator (summing the current andall previous inputs) indicates a possible lack of ability to interpret series in a relevant physicalcontext.FIGURE 1: First in-class problem analyzed. Students are asked to interpret an infinite series,determine system output, and evaluate stability.In part (b) of the problem, students were asked to determine the system output when the inputwas a unit step (equal to 1 for positive values of n and 0 otherwise); 12 of the 13 groupscompleted this part successfully and determined that the output signal was a ramp whoseamplitude approaches infinity as n approaches infinity. In the final part of the problem, studentswere asked whether or not they could infer stability/instability of the

Conference Session

Systems Engineering Programs and Curricula

Collection

2009 Annual Conference & Exposition

Authors

Joanna DeFranco, Pennsylvania State University; Colin Neill, Pennsylvania State University

Tagged Divisions

Systems Engineering Constituent Committee

incorporate team projects as both active learning components ofcourses and for student assessment. Research indicates, however, that actually working within ateam generates a new set of problems, referred to as Problem B: managing the diversity of theproblem solvers in contrast to Problem A: solving the actual problem the team is working on.Given the presence of Problem B, there is a risk that student learning will actually sufferbecause of the team. To mitigate this risk, we propose the use of the Cognitive CollaborativeModel (CCM) in team system design exercises.The CCM is a six-stage cognitive model that takes into consideration the cognitive and socialactivities that occur during collaborative problem solving by facilitating problem formulation

Conference Session

Outreach and Hands-on Materials

Collection

2009 Annual Conference & Exposition

Authors

Dana Medlin, South Dakota School of Mines and Technology; Michael West, South Dakota School of Mines and Technology; Deborah Mitchell, South Dakota School of Mines and Technology; Jon Kellar, South Dakota School of Mines and Technology; Stuart Kellogg, South Dakota School of Mines and Technology

Tagged Divisions

Materials

% 46% 54% 89% (a) Visitor Demographics by Gender (b) Visitor Demographics by Race Visitor Demographics by Campus Student Demographics by Major Affiliation MetE Eng LS Other Student Faculty Staff Community 9% 33% 28

Conference Session

Graduate Student Experiences

Collection

2009 Annual Conference & Exposition

Authors

Erin Weir, Purdue University; Edie Schmidt, Purdue University; Jonathan Davis, Purdue University

Tagged Divisions

Graduate Studies

Psychology. 26(6). 509-532. 5. Crocker, J. & Knight, K. (2005). Contingencies of self-worth. American Psychological Society. 14(4). 200- 203 6. Dewey, J. (1958). Experience and education. New York: Macmillian. 7. Drinnien B. A., Irwin, D. B., Simons, J. A. (1987). Maslow’s hierarchy of needs from psychology—the search for understanding. New York: West Publishing. Retrieved January 27, 2009 from: http://honolulu.hawaii.edu/intranet/committees/FacDevCom/guidebk/teachtip/maslow.htm 8. Heider, F. (1958). The psychology of interpersonal relations. New York: Wiley. 9. James, W. (1890). The principle of psychology. (1). Cambridge, MA: Harvard University Press. 10. McMillan, D. W. & Chavis, D. M

Conference Session

Integrating Design into the BME Curriculum

Collection

2009 Annual Conference & Exposition

Authors

Amit Nimunkar, University of Wisconsin, Madison; Silas Bernardoni, University of Wisconsin, Madison; Tyler Lark, University of Wisconsin, Madison; Willis Tompkins, University of Wisconsin, Madison

Tagged Divisions

Biomedical

effectively across disciplines1. The students work on a variety of interesting and challenging projects. Some examples of Page 14.1083.2the projects are:1. A combined thermistor, pressure, and CO2 device for use in the sleep laboratory: Develop adesign for a single device that can be used on infants and that can measure all three signals ofinterest which are a) temperature difference between inhaled and exhaled air, b) pressure sensorsthat show a flattening pressure profile during upper airway narrowing, and c) carbon dioxidesampling tubes to detect the exhaled CO2 waveform.2. Design for a self-contained, maneuverable, endoscopic, video camera

Collection

2009 Pacific Southwest Section Meeting

Authors

Pradip Peter Dey; Thomas M. Gatton; Mohammad N. Amin; Mudasser F. Wyne; Gordon W. Romney; Alireza Farahani; Arun Datta; Hassan Badkoobehi; Ralph Belcher; Ogun Tigli; Albert P. Cruz

expressions. So,any string from the regular expression b*aba*b would be accepted by the following Non-deterministic Finite Automaton (Figure 1 ).However, Non-deterministic Finite Automata cannot process a language like L11, mentionedabove, which requires a more powerful machine. You should be able to build such a machine.Explain how your machine will accept strings from L11. Proceedings of the 2009 American Society for Engineering Education Pacific Southwest Regional Conference 201Figure 1. A Non-deterministic Finite Automaton for b*aba*bPART_2: A Turning Machine has a finite set of states with one START state and some (may be

Conference Session

Statics and Dynamics: What's New

Collection

2009 Annual Conference & Exposition

Authors

Roman Taraban, Texas Tech; Edward Anderson, Texas Tech; Curtis Craig, Texas Tech

Tagged Divisions

Mechanical Engineering

includemoving only one disk at a time, never placing a larger disk on a smaller disk, and nevertaking a disk out of play. The Newell and Simon theory has been applied to visualpuzzles like the Tower of Hanoi, but applies readily to other types of representations andproblems, including scheduling problems, decision-making, game-playing, language, andmathematics2.Figure 1. Tower of Hanoi Example Initial State Goal State C C B B A A The size of the problem space for a typical game of chess3 is 10117. In spite of theimmensity of the

Conference Session

Projects and Problems in First-Year Courses

Collection

2009 Annual Conference & Exposition

Authors

Senay Purzer, Purdue University

Tagged Divisions

First-Year Programs

Bhad the highest gains in self-efficacy while Team A had the lowest gains. Team B also had thehighest cumulative course grade.Table 1. Descriptive Statistics for Teams Case Team Team Normalized Self-Efficacy Cumulative Team Grade Name Size Gain of the Team Mean (SD) Mean (SD) Bryan’s Team Team B 4 .46 (.26) 88.32 (5.02) Eric’s Team Team E 3 .33 (.16) 82.99 (1.21) Alex’s Team Team A 4 .31 (.22) 87.12 (5.84)Table 2 shows scores for individuals. Bryan started with the lowest

Conference Session

Contemporary Practices in Engineering Management Programs

Collection

2009 Annual Conference & Exposition

Authors

Stanislav Karapetrovic, University of Alberta; John Doucette, University of Alberta

Tagged Divisions

Engineering Management

measurements, aswell as feedback forms and corrective actions, generated during the study are included. Thearticle is concluded by underlying the possibilities for future use of ISO customer satisfactionstandards in engineering education.OverviewDuring one academic term in 2008, a total of four courses taught by the authors were included inthe study, specifically an undergraduate compulsory engineering economics and financialmanagement course with 140 students (course “A”), two graduate courses on quality (course“B”) and production (course “C”) management, which also serve as senior undergraduatetechnical electives, taken by 26 and 50 students, respectively, and a graduate course on thedesign and integration of standardized systems with 9 students

Collection

2009 Pacific Southwest Section Meeting

Authors

Said Shakerin

projects in independent studies orundergraduate research, and informal science education for general public and youngerstudents through school visitation programs. Later in the paper, several homeworkassignments based on these toys are also suggested as challenges for students. A B C Figure 1 – Density differential fluids toys - (A) colors in motion toy # 1 (1 x 3 x 5 inches), (B) colors in motion toy # 2 (7/8 x 4 x 7 inches) , (C) sand painting (1/2 x 5 x 7 inches). These toys are trademark by Westminster, Inc. Atlanta, GA.Colors in Motion Toy # 1 - This simple toy as shown in Figure 1A contains coloredliquids in four chambers. If observed carefully, one can see and enjoy a variety

Conference Session

Innovative and Nontraditional Curriculum in IT/IET

Collection

2009 Annual Conference & Exposition

Authors

Chad Laux, Purdue University; Edem Tetteh, Virginia State University; Carmen Caldwell, Virginia State University

Tagged Divisions

Engineering Technology

groups based upon which syllabus they evaluated. Each syllabus typewas sent randomly to each participant along the survey for his/her evaluation before completingthe survey. The participants’ perception was determined by the series of questions each using aLickert scale from one (strongly agree) to five (strongly disagree). The participants were allowedto take the survey, even if they had never taken a distance education course in the past. Theresearchers used Qualtrics, survey software, to construct the survey along with a consent form.Study ParticipantsThe population of participants in this study was approximately 41 students (Table 2) registered inEngineering and Technology programs at University A and University B, two public

Conference Session

Enhancing Recruitment and Retention in Engineering Education

Collection

2009 Annual Conference & Exposition

Authors

Mitchell Nathan, University of Wisconsin, Madison; Natalie Tran, California State University, Bakersfield; Amy Atwood, University of Wisconsin, Madison; Amy Prevost, University of Wisconsin, Madison; Al Phelps, University of Wisconsin, Madison

Tagged Divisions

K-12 & Pre-College Engineering

generated by theresearch team and conducted a reliability analysis. Using the results generated by a reliabilityanalysis, we described seven summary constructs representing different dimensions of teacherbeliefs about engineering education. Third, we generated a descriptive analysis of the vignettesto gain an understanding about the factors used by teachers to advise students and predict studentsuccess in engineering studies and careers.ResultsFrequency DistributionsPrior to conducting the empirical analysis, we computed proportions of teachers who reportedthat they often or almost always carried out the following activities (with construct labels from Athrough G): A) using student academic abilities to inform their instructions; B) integrating