/dimensionality (e.g.,number of items, number of subscales, subscale/ total scoring) were provided in this paper. Onlywith validated instruments will education researchers will be able to move forward to determineif curricular and instructional innovations truly improve student attitudes towards engineering.The authors acknowledge the support of this work by NSF IEECI Grant #083641.Bibliography1. Griffiths, A. K., and Preston, K. R. (1989, March). An investigation of grade 12 students’ misconceptions relatingto fundamental characteristics of molecules and atoms. 62nd Conference of the National Association for Research inScience Teaching, San Francisco, California.2. Olds, B., Streveler, R., Miller, R., Nelson, M. (2004). Preliminary results from the
N-dimensional resistive lattice case, followedby the inductive and capacitive lattice cases. Page 14.300.3ab Fig. 1. Infinite 2D square lattice a b Fig. 2. Infinite 2D Honeycomb lattice Page 14.300.4Case 1: Infinite N-dimensional Resistive Lattice For the purpose of illustration, consider the two-port test circuit shown in Fig. 3containing the infinite 2D square resistive lattice shown in Fig. 1. In the infinite resistive lattice,each branch corresponds to a single resistor of value R and the number of resistors connected toeach node is denoted by M (where
) draw chemical processdiagrams of a given material and energy balance problem, (b) develop accompanyingsystems of equations, and (c) solve for the unknowns. Students were told that we wereinterested in how they approached the solution to the problem rather than the solutionitself. They were encouraged to discuss their approach so that we could follow their logicas the solution was developed. Our review of the recordings made it clear that there was one area in which all ofthe groups had difficulties: translating the problem statement into a process flow diagram(PFD) and then translating the PFD to a set of mathematical expressions. None of thegroups was able to put together a correct process flow diagram. Without a correctprocess flow
. 2 kΩ + + + 2 kΩ 1 kΩ 3 kΩ 15 V 10 mΑ 1 kΩ Vo Vo Vo — 15 V 10 V — 25 V — (a) (b) (c) Figure 2: Loss of Terminals during Circuit ReductionFirst, the students observe that the parallel combination of 10 mA and 1 kΩ in Figure 2a can be treatedas a practical current source. Noting that
it generates a very sharp and highly distinctive correlation peak.Then a different version of the same target fingerprint recorded at a different time is introducedinto the input scene as shown in Fig. 3(b). Though the input image varies significantly from thereference image in the database, but the proposed technique is observed to be very successful inrecognizing the fingerprint by producing a distinct correlation peak as shown in Fig. 3(c). Now anon-target fingerprint is employed in the input scene as shown in Fig. 4(b). The correlationsignals in Fig. 4(c) rejects the fingerprint by generating noisy signal where there is no distinctivepeak.Next, the proposed technique is investigated employing an input scene shown in Fig. 5(b
Page 14.260.5Since TCI is on a tri semester September 2008 was the start of the Fall Term. 157 studentsaccessed the website. When the new semester started in January 2009 the number of studentsthat accessed the web rose to 301. So you can see that intranet is getting more popular withour students and we have a quantities method of assessing the time students spend studying.References 1 “Video Lecture on the Pythagorean Theory” ASEE 2008, by B Pariser, C Meherji 2 MAT135 Syllabus, TCI September 2008 3 “A Geometrical Proof of Pythagoras Theory” ASEE 1999 by B Pariser 4 “Data Acquisition for Outcomes and Assessments” ASEE 2008, by B Pariser, C Meherji AuthorBert Pariser is a faculty member in the Electronic Engineering
tolerance for these two holes. Figure 4: Position Tolerance with RFS. 3.1. Formulas for X max – RFS Figure 5 shows the extreme position to determine X max based on the following conditions: a. The two holes are made at their minimum sizes: φ (D1-T1) and φ (D2-T2) b. The centers of the two holes are located at their farthest positions of the position-tolerance zones: Points A and B in Figure 5. Page 14.301.4 Figure 5: Extreme Position for X max – RFS.From Figure 5, X max can be easily determined through the following equation
used withstudents as young as 5 years old to emphasize the kind of interactive and interdependentgroup learning that fosters growth in social skills, giving children the opportunity to thinkand act critically in society.Although aspects of systems engineering are utilized in various stages throughout K-20academia, the suggestions and results reported herein are novel in that they may be easilyapplied in any given classroom/laboratory setting and are tied to an innovative learningstrategy called Activities, Project, and Problem-Based Learning (APP-B Learning).An Industry PerspectiveCommenting on the relationship systems engineering has in industry, Albert A. Winn, theVice President of Government and Apache Rotorcraft Programs and former
Page 14.713.2intelligences to answer this question.Thirty volunteers (five female, twenty five male) answered MI and VAK tests in our ElectricalEngineering department. Subjects were international first semester engineering graduate studentsin ELEG 443-Digital Signal Processing. The age range of the group is between 23 and 25 yearsold. The MI test includes 40 questions, and the VAK test includes 30 questions, each designed tofind our graduate (Master degree) students’ strongest thinking and learning preferences. SeeAppendix A and B for MI test and VAK test questions. The MI test was used for finding thethinking styles and the VAK test was used for finding the learning styles. Thinking and learningstyles show individual differences in academic
I , E, A b FIGURE 1 – CANTILEVER BEAM WITH TIP FORCEThe maximum value (magnitude) is at x ? 0 and is given by: PL h υm ? 2 ? 6 PL 2 1 bh3 bh 12 Page 14.811.3 (2)The weight is given by
be given by r = (r1,…,rn), where riis the stated probability (the student’s answer) that answer i is correct, and the sum of theseresponses is equal to one. Students are likely to have many different objectives in such a situation, ranging fromlearning the material to getting a good grade. We assume that letter grades are a strictlyincreasing function of the total points earned on the exam and that students seek to maximizetheir points. This simplification seems reasonable, particularly in programs that fractionalizeletter grades (e.g., B+, A-, A). If the student is scored according to some function R, then her expected score when sheassigns r and believes p is R (r | p) i pi Ri (r ) , where Ri is the score received for
and future many-core processingarchitectures, we believe that programmers must possess an intimate knowledge of the issues thatarise in the context of multithreading.2.1.1 Instruction-Level ParalleismConsider the following expression involving several integer multiplications and additions: a + (b*c) + (d*e) + f Page 14.806.3Assuming we have a processor that requires a single cycle to evaluate each multiplication oraddition operation, this expression requires five cycles to evaluate in a sequential manner: onecycle for each of the arithmetic operations in the expression (Figure 1a). However, if theprocessor is
delivered mostly in the traditional lecture formassisted by available multimedia tools such as PowerPoint presentations. The new teachingmethod under evaluation is designed according to intentional learning principles and utilizesseveral intentional learning tools such as a “jigsaw puzzle” type of group discussion and roleplaying. The students are also given the opportunity to define their learning objectives andchoose the evaluation methods. In both control and study cases, the same teacher teaches thesame group of students during the same semester. The students come to the two classes involvedin the study and with the same prior knowledge. The subject areas of the two courses involvedare also similar. The students attending Course A and Course B
AC 2009-707: TEACHING WITH SOFTWARE DEFINED RADIOSThad 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
Synchronized Multimedia Lectures Using Video and PowerPoint,” Proceedings of the 2004 ASEE Annual Conference and Exposition. 5. Duch, B., S. Groh, and D. Allen, The Power of Problem-Based Learning, Stylus Publishing, VA, 2001. 6. GenevaLogic Company, Beaverton, OR 97006. 7. Young, J.R., “Hybrid teaching seeks to end the divide between traditional and online instruction,” Chronicle of Higher Education, vol. 48, 2002, pp. A33–A34. 8. Azemi, A., “Enhancement of Traditional and Distance Learning through Hybrid e-learning Approach,” Proceedings of the 2008 ASEE Annual Conference and Exposition. 9. Saba Software Inc., Redwood Shores, CA 94065. 10. ANGEL Learning, Indianapolis, IN 46278
equivalent to be placed at the time of the last series flow, and b. the last parameter to equal the number of series flows, the time of the last flow minus one period before the first flow. 3. Note that F|P has a last parameter equal to the number of periods, the time of the com- pound amount minus the time of the prior amount. 4. Present why F|A needs: a. the prior amount placed before the first series flow, and b. the last parameter to equal the number of series flows, the time of the last flow minus one period before the first flow. Unknown deposits are shown in Figure 2. The typical three-step solution uses factors differ-ent from the unknown withdrawals problem, even though the
% 0.0% 0.0%PICKit1 Use Positive Comments N/A N/A N/A 83.3%PICKit1 Use Negative Comments N/A N/A N/A 0.0% Page 14.1145.6The average course grade for the class as a whole increased from a B- to a B+. The overallnumerical score on the course evaluation did not change significantly. Written course evaluationcomments indicated that students did not feel constrained by limited access to lab facilities ashad been the case in the years prior to 2004. Written comments on the student evaluationsindicated that a majority of the students in the 2004 class liked the
Page 14.1303.3example of set equality; suppose we want to verify that the sets A and B given below are equal. A ? {x | x 2 − x / 6 ? 0} and B ? {2,/3} then A ? BIn Python set A can be constructed as A=set ([x for x in range (-50,50) if x**2+x-6==0])where the set command is applied to convert the list to a set object. The set is constructed bysearching for integer solutions of the quadratic equation in a specified range. Set B is simple toconstruct in Python, B=set ([2,-3]). Now we use the command A==B to verify theequality. The system returns “True”.A set product, or a set of ordered pair is easily built by a single line of code assuming that sets Aand B have been defined then [(a,b) for a in A for b in B] produces
. Surprisingly, 12 students alsoanswered question #4 incorrectly: “What type of publication is more research oriented?”Answers ranged from a) a magazine, b) a journal or conference proceeding, c) a newspaper, orsome combination of those three possibilities. The most typical wrong answer grouped a) and b)together, suggesting that the distinction between journals and magazines has not been madeclear. This is disappointing because it is emphasized at the first-year level, not only inengineering classes but also in many of the other university courses that are offered to first-yearstudents and have an information literacy component. However, it is useful feedback to thelibrarian to make this a more prominent part of Design I instruction in future years.In
GUI reports the time response of the system andthe input function as well. The time range of the response plot can be adjusted as desired. Similarto Figure 1(a), Figure 1(b) shows the case of step input with amplitude of 3 units.The MATLAB GUI for the initial condition response of a 2nd order dynamic system is shown inFigure 2. The students are asked to enter the initial displacement and initial velocity, in additionto the system parameters. Two pushbuttons give the choices for time response plot or frequencyplot. Figure 2(a) shows the time response plot. The frequency response plots are shown in Figure2(b), including both logarithmic magnitude curve and phase-angle plot. The GUI also reports thenatural frequency, damping ratio, and damped
15 20 Distance from Sourse of Noise Inches Chart 1 Attenuation of sound without a barrier 3- The experiment is repeated with various barriers made of selected materials such as brick, cardboard, cork, etc. (see Photo 5 and Chart 2). List the noise level without a barrier (NL no B, column 2) and with a barrier (NL w/ B, column 3) and the % reduction in noise level (% R in NL, column 5) as you move away from the barrier. Col. 1 Col. 2 N Col. 3 Col.4 Col.5 D from B NL no B NL w/B Red in % R in
15 20 Distance from Sourse of Noise Inches Chart 1 Attenuation of sound without a barrier 3- The experiment is repeated with various barriers made of selected materials such as brick, cardboard, cork, etc. (see Photo 5 and Chart 2). List the noise level without a barrier (NL no B, column 2) and with a barrier (NL w/ B, column 3) and the % reduction in noise level (% R in NL, column 5) as you move away from the barrier. Col. 1 Col. 2 N Col. 3 Col.4 Col.5 D from B NL no B NL w/B Red in % R in
technology.DiscussionThe 2009-2010 TAC criteria for ABET consist of nine General Criteria. The Criteria relevant tothis discussion are Criterion 3, Program Outcomes, and to a lesser extent Criterion 5,Curriculum.3 The Program Outcomes in Criterion 3 are the well-known “a-k” criteria. Underthese criteria, an accredited program must demonstrate that graduates have: a. an appropriate mastery of the knowledge, techniques, skills, and modern tools of their disciplines b. an ability to apply current knowledge and adapt to emerging applications of mathematics, science, engineering, and technology c. an ability to conduct, analyze and interpret experiments, and apply experimental results to improve processes
. Page 14.807.10Appendix1: Pre-project test / Post-project testABET Learning Outcomes: a, b1. Write a behavioral VHDL code for the T flip-flop. (Course Objective 1)2. (a) Design a 3-bit ripple counter using 3 T flip-flops. (Pre-requisite knowledge)(b) Write a structural VHDL code of the above counter, with parallel loading capability.ABET Learning Outcomes: a, h3. (a) Briefly discuss a possible application of the counter in either a scientific computing, or abioinformatics processing unit, or a signal processing hardware. (Course Objective 3)(b) Discuss the impact of dedicated hardware processing on the application areas listed above.(Course Objective 3)ABET Learning Outcomes: c, e4. A digital filter is implemented by the following transfer
inputspace of a specific problem while 1.b shows the opposite. The organization of this paper is as follows: In section 2 we present HART. In Section 3, wedescribe the experiments and the datasets used to assess the performance of HART, and we alsocompare HART to other ART and Genetic ART networks that attempted to resolve the categoryproliferation problem in ARTMAP. In Section 4, we summarize our work and draw someconclusions. II. EVOLVING HYBRID FAM/EAM NETWORKS (HART) In this article we assume that the reader is familiar with the Fuzzy ARTMAP (FAM) neuralnetwork architecture, its training phase, and its network parameters (for more info see [2]). Forevery classification problem (dataset) that we experimented with we
makes it much easier to understand stochasticphenomena. The PIs also hypothesize that not only are the proposed non-calculus-basedstatistics easier to understand, but that much more sophisticated analyses can be conducted muchearlier in a student’s career using these methods. The expected significance of this project isthat a) students will have a much stronger understanding of the fundamentals of probabilityand statistics and b) students will be able to conduct much more sophisticated statistical Page 14.911.3analyses.In the rest of this paper, traditional calculus-based statistics relying on mathematically derivedprobability functions will be
test seriously: they spent most of the allocated 30 minutes workingon their answers, and wrote an adequate amount in answering the free-response questions.Mark histograms are provided in Figures 1(a) and 1(b).In 2007 the mean mark was 10.4 out of 25, and the pass-rate was 30%. The free-responsequestion which tested year-12 circuit analysis was correctly answered by only 11% of thestudents, while the free-response question which tested year-11 algebraic manipulation wascorrectly answered by only 60% of the students. (Note that year-13 is the final year of high-school education in New Zealand.) Page 14.673.3Results were very similar for the 2008
= Axial Stress = P/A = mg / A 2 = Flexural / Bending Stress = M.C/ = F.L.C / Where: m = the hanging (proof) mass L = moment arm / effective length of the beam g = gravitational acceleration = I ZZ = (Second / Area) Moment of Inertia of the Beam 3 A = cross sectional area of the { For a rectangular section, = (1/12) b. h } beam C = Distance from the Neutral axis to the top /bottom fibers; Page 14.795.3 M
skills, and employcreativity in proposing new solutions.Their capstone process included an analysis phase, a design phase, a validation phase and aproduction phase.The analysis phase includes: A. Review of family science research to identify common traits or factors that build strong families. a. A number of references were found which discuss the relationship between technology and families and also define characteristics of strong families.11-15 B. Review of IT-related literature to identify what effects different information technologies have had on families. C. Defining target users demographic a. The selected user characteristics were: Caucasian families with 1 or more children
Systems Engineering as a major part of movingforward in the 21st century. This turned out to set the stage for major growth in theDepartment, much of that growth having to do with the demand for education programsin Systems Engineering. Looking at this matter historically, one could say that theengineering management program successfully integrated systems engineering into thebroader context of engineering management. The integration occurred in severaldimensions: a. the offering of new programs that featured courses in both engineering management and systems engineering b. the formal change of the Department’s name to “Engineering Management and Systems Engineering”, and c. the outreach to industry and government with respect to