sequence is heavily assessed by the EE faculty in support 1,2of the ABET Criterion 3 A-K program outcomes. Rubrics and course review are used toassess these courses. A summary of the major assessment results since the creation of theprogram are listed in Table 1 below. Throughout the years of offering these courses, the studentperformance has continued to improve. However, it has been noted that students continued tostruggle with setting project milestones and to understand the project planning process. Table 1: Summary of Assessment Results for Capstone Design CoursesYear Assessment Result2004 Project timeline developed
institutionalizes these behaviors intothe college.Course ContentA 1 SCH Junior level laboratory was developed for nanosystems engineering students to providethe uniform experience described above and elevate the product achieved in the capstone designcourse. The course has been taught two years (the first year was a pilot). Nine students took theclass the first year and eleven students took the class the second year (one student dropped half-way into the quarter). In both years, students were given the objective of producing CdSenanoparticles in a manner that provides a narrow size distribution at the lowest possible cost.The students were asked to envision that they were participating in a startup company that wouldbe selling these nanoparticles
years.In 2002, the Nelda C. and H. J. Lutcher Stark Foundation3 decided to rebuild the botanical Page 15.1061.2garden. The foundation hired noted landscape architect Jeffrey Carbo, of Alexandria, La., andterrestrial ecologist Michael Hoke, (Fig. 1) recipient of a presidential teaching award and founderof the Nature Classroom (an environmental education program in Orange), as the managingdirector.Fig. 1. With Mr. Michael Hoke (Managing Director)Supportive of an open programming process, the Stark Foundation allowed design discussionsand site discoveries to affect the project's scope, saying only that they wanted it to be "as greenas possible
current andThevenin equivalent resistance.The database provides a comprehensive coverage of the introductory circuit analysis coursematerials that are commonly required for engineering undergraduates (non-electrical engineeringmajor), including: 1. DC circuit analysis methods: Kirchhoff laws, Voltage/current division, Resistor combinations, Nodal/mesh analysis, Superposition, Source exchange, and Thevenin’s/Norton’s theorem, Maximum power transfer theorem. 2. Transient analysis: Relationships between inductor/capacitor current and voltage, Inductor/capacitor combination, Energy stored in inductor/capacitor, First/second order transient analysis. 3. AC steady-state analysis: Phasor notation, Phasor
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items associated with Labor IntensiveConstruction which are discussed in a following section should be of interest.Introduction:Generally, after the plan is completed a contract agreement is signed by the contractor and theowner as shown, in part, in Figure 1 and the appendix. In this agreement the specificationsregarding the building materials to be used, cost, and the mode of payment is given. Thestructural design is accomplished by a structural designer who determines the sizes of beams,columns, rebars and spacing. This data should be utilized by the contractor.The most important phase is the construction of the building. Here, the owner or hisrepresentative should check the quality of the materials used by the contractor, the skill of
toexhibit mastery that is greater than simply knowing some computer science, electrical andmechanical engineering. Assessment of student learning therefore must go beyond measuring themastery of the various knowledge domains contributing to the discipline. Here we discuss ourcurrent assessment results, the tools we have used, and our plans for continuing assessment.There are three measures of success for any new program: 1. The number and quality of students attracted to the program, 2. The extent to which graduates are employed or admitted to graduate school, and 3. The degree to which the program achieves its educational objectives.The first measure, enrollment, is, sine qua non, the most important and straightforward. This hasalready
Taiwan in 2002 and her Masters in I/O Psychology at the University of North Carolina at Charlotte in 2005. Her research interests include measurement and evaluation issues, individual differences, leadership, cross-cultural studies, work motivation, and the application of technology on human resources management. Page 15.302.1© American Society for Engineering Education, 2010 Computational thinking: What should our students know and be able to do?AbstractA NSF funded project on our campus has two overarching goals: (1) to create a computationalthinking thread in engineering
which the studentmatriculates or transfers. The director of the program and the CS Review Committee will selectall students admitted into the program.The major is open to incoming freshmen, transfer students with less than 36 Baylor credit hoursafter previous school credits have transferred, current Baylor students with less than 36 v credithours at time of application, or current students in good standing transferring from the BaylorUniversity Scholars Program. Acceptances are made on a rolling basis, and letters of admissionare sent in the month following receipt of a complete application.Criteria for AdmissionIn order of priority, the following are the five criteria for admission into Computer ScienceFellows: 1. Because of the great
Page 15.1132.3that is designed to shed light on the relationship between the college experience and post-graduation plans developed as part of the Academic Pathways of People Learning EngineeringSurvey (APPLES)1, a sub-study of the APS. This “Quadrant Analysis” framework classifiesstudents into four groups, or “quadrants,” according to whether their scores on these twovariables are above or below the population mean. The four quadrants are defined as the highintrinsic motivation and high professional and interpersonal confidence quadrant, the lowmotivation and low confidence quadrant, the high motivation and low confidence quadrant andthe low motivation and high confidence quadrant. In the APPLE study, the Quadrant Analysiswas applied to
thatdesign is a timeless endeavor and failure an ageless problem.In order to introduce the required ABET criteria concerning knowledge of engineering andcontemporary issues; the senior seminar was revised to include a section on this subject area. Aquestionnaire distributed to both graduate and the undergraduate class was designed to measurestudent perceptions of various engineering and ethical issues. This knowledge of contemporaryissues held by engineering students could prove to be beneficial to them as they graduate andbecome employed by organizations.FindingsTabular results of the study are found in Tables 1 and 2. Different findings are shown below
) helps us accomplish this objective≠ Quality Function Deployment:Quality Function Deployment (QFD) uses a matrix that converts customer requirements intoproduct design features. This matrix is referred to as the house of qualityFigure 1 illustrates the structure of a typical house of quality. Page 15.333.3 Customer Requirements Technical Design Requirements Details Importance Customer Ratings Ranking Central Relationship Matrix Technical Ranking Technical Rating
to real life situations.Curriculum Development:An Engineering management degree is primarily an applied degree that seeks to apply businessprinciples to the management of engineering firms. As such, it is extremely important that thevoice of different stakeholders including employers, government organizations and regulatoryagencies is incorporated into the curriculum. This can be accomplished through the extensive useof a tool referred to as Quality Function Deployment (QFD).≠ Quality Function Deployment:Quality Function Deployment (QFD) makes widespread use of the so called house of Quality.This is a matrix that converts customer requirements into product design features.Figure 1 illustrates the structure of a typical house of quality 4
for assessing chemistry teaching and learning in over 100two- and four-year institutions.1 The National Science Foundation funded this project for fiveyears (1995-2000) as part of two, linked consortium, “ChemLinks” and “ModularChem.” TheSALG instrument was modified to meet the needs of this course. This instrument uses the Likertscale where 1 was “very little” to 5 “the most.” Based on the students’ responses from 2007, theuse of Tablet PCs has improved the teaching/learning process close to above average (3.82 out of5.00) in the CS 360 “Object Oriented Analysis and Design” course.The SALG (Student Assessment of Learning Gains) instrument was used to collect compellingevidence and determine the effectiveness of the course.In a survey given
engineering, and differences in post surveyresponses by gender, ethnicity and mentor program variations. Finally we reportthe actual retention / graduation data for this cohort of participants and discussthese figures relative to the overall college of engineering.IntroductionResearch has shown that the first year of an engineering program is critical tostudents’ success and specifically to their ability and decision to stay in anengineering degree program 1. Peer mentoring programs – where upper divisionstudents work with entering students – are a popular way to support the success offirst-year engineering students. Mentoring programs are based on theory thatproposes the benefits of reducing feelings of isolation and developing a strongsense of self
been designed for students to investigate the effect ofmixing time, particle size and loading configuration in a statistical design. The experiments anddata analysis are conducted over multiple class periods, and students are exposed to experimentaldesign strategies. A 5 L constant frequency V-mixer is used for laboratory experiences incourses, projects and research. Figures 1a and b show the mixer and the loading operation for amixing experiment.Figures 1 a) 5 L V-mixer b) Loading mixer for experimentFactorial and response surface Box-Behnken experimental designs are used and students assessthe efficacy of experimental design strategies. Variables studied include particle size and particlesize difference, mixing time
-college academic preparation is a critical barrier to admission into engineeringcolleges, with only 4% of US African American and Latino high school graduates having theacademic preparation to directly enter a four-year engineering program.1 In response to ourcollege’s unacceptably low diversity numbers and this preparation gap, in 2009 CU-Bouldercreated the Engineering GoldShirt Program.Engineering GoldShirt Program OverviewThe Engineering GoldShirt Program’s goals are to provide expanded opportunity and aperformance-enhancing “GoldShirt” year for motivated high school graduates who are not yetfully prepared to succeed in an undergraduate engineering program, and to thereby increaseenrollment and retention of students historically
: variable, limit, polynomial, inverse function and function.Students embarking on a study of algebra must confront the word variable, usually defined as aletter representing a member of a set. In a study of rectangles, the length, width, area andperimeter, all belong to the set of positive real numbers. Can an area be added to a length? Canthe students be blamed for being confused?Variables are symbols representing measureable properties of systems. The concept is anotational device for writing the laws of these systems. Consider the set of rectangles as oursystem to study. The laws are relationships of the system, in this case: 1) The area of any rectangle is the product of its length and width and 2) the perimeter is twice the sum of
contacted: the top 25 engineering schools in the subcategories of those with adoctoral program and those without a doctoral program. The survey was conducted throughemail and requested three statistics: 1) Percentage to engineering students who study abroad out of all students who study abroad: [(SA Eng ) SATot × 100 ] 2) Percentage of engineering students in the total student body: [(SB Eng ) SB Tot × 100 ] 3) Percentage of student body that goes on study abroad: [(SATot
to use if the table is not too long and the desired values of theindependent variable are listed. A table description of the function A = ρ R2 is shown inTable 1. 2 R A=ρR 0 0 1 A= ρ= 3.14159 2 A = 4 ρ = 12.56637 3 A = 9 ρ = 28.27433 4 A = 16 ρ = 50.26548 5 A = 25 ρ = 78.53982 6 A = 36 ρ = 113.09734Table 1Another format for describing functions is called a
deliver the results required for continuous improvement. At thesame time the process should on a steady basis be able to provide the data that is expected to bean integral component in the preparation of the ABET Self-Study when the time comes forrequesting accreditation.In this paper we describe such a process. The process consists of three components: 1. A fast feedback procedure to implement continuous improvement at the course level. This procedure includes a course improvement form completed by the course instructor that documents their positive and negative reflections, suggested actions for course improvement, and deviations from the institutional syllabus in their offering of the course. A mechanism for
off a natural gasfueled engine that was also used to power the machine tools in their bicycle shop. Their tunnelwas square with an area of 16” by 16”, and 6 foot long, with a maximum test speed of 35 mph.Figure 1: Force balance used in Wright Brothers’ wind tunnel.In the early 20th century in Europe, the main users of wind tunnels were Gustave Eiffel in Franceand Ludwig Prandtl in Germany. Before beginning wind tunnel testing, Eiffel performedaerodynamic tests by dropping objects off his famous tower. Prandtl built the first closed circuitwind tunnel in 1908.In the United States, the National Advisory Committee on Aeronautics (NACA) oversaw someof the most important advances in wind tunnels including the NACA Variable Density Tunnel(VDT
path to an engineering career: 1. Engineering technology must clearly distinguish the four-year engineering technology academic paths that prepare graduates for an engineering career. It is especially important to distinguish these from two-year programs. 2. The academic curricula of four-year engineering technology programs must have a greater academic uniformity of rigor as is recognized through the accreditation process to be necessary in the preparation for an engineering career. 3. Four-year engineering technology programs should continue to support inclusion in the current single federal government job classification of engineering. 4. The engineering technology community must work with those
sustainabledevelopment concepts, exposed the students to the challenges of sustainable development froman engineering design perspective. The course objectives were that students would: 1. Be able to define sustainability 2. Identify sustainability issues in the atmosphere, hydrosphere, and lithosphere 3. Apply the engineering design process to sustainable projects 4. Summarize methods to measure sustainability 5. Analyze examples of sustainable and non-sustainable programs.Participants were also exposed to field experiences to observe issues in sustainability.Assessment of the course objectives illustrates the need for cooperation among engineering andother disciplines, such as economics and politics, in the design process for a sustainable
toVenture” (I2V), and more recently the “Advanced Invention to Venture” (AI2V). The proposedworkshop is based on a need for an additional type of workshop modeled in part after the I2Vand AI2V: an innovation-focused workshop. The new workshop can be offered independently,or as an add-on to (or part of) I2V or AI2V workshops. The program consists of two parts: 1. Traits of Innovative Individuals Participants will learn about: (a) Traits of innovative individuals, and (b) enhancing individuals’ innovative skills. Innovators share some common traits, many of which can be learned and enhanced. Inparticular, this part of the workshop will present traits such as observing, thinking,experimenting, teaming, dreaming, persisting
enhancestudents’ leadership skills and technical knowledge are: 1) academic research training, 2)academic and industry partnerships in research, and 3) learner centered courses. Otherinstructional strategies, such as degree or certificate programs in leadership do exist, but they donot show evidence of strengthening students’ technical knowledge. This paper focuses onprograms whose goal is both to educate doctoral students with technical knowledge and enhancetheir leadership abilities.Academic Research Training Programs. Engineering doctoral education in the United States isbased largely on an apprenticeship model. The degree includes of technical courses, a researchbased dissertation, and comprehensive exams. Students are assigned or choose a supervisor
computer through a mix of numerical analysis, analytical models, andprogramming to solve otherwise intractable problems. It is a skill that can be acquiredand refined - knowing how to set up the simulation, what numerical methods to employ,how to implement them efficiently, when to trust the accuracy of the results. In the lasttwo decades, however, computational physics has largely been neglected in the standarduniversity physics curriculum1-5. In part, this is because it requires balanced integration ofthree commonly disjoint disciplines: physics, numerical analysis, and computer Page 15.46.2programming (Figure 1). The lack of computing hardware
transformers, DC machines,induction motors, synchronous machines, single-phase and special motors. The on-sitelaboratory consists currently of eight experiments, conducted during the course of a term, byusing ElectroVolt educational system. They are: 1) Getting Familiar with the Laboratory; 2)Measuring Impedance and Power; 3) Transformer Excitation, Transformer EquivalentCircuit; 4) DC Generators; 5) DC Motor Load Characteristics; 6) Synchronous Machines; 7)Induction Machines; and 8) Single-Phase Motors.II. Virtual LaboratoryThere are several benefits, advantages, as well as drawbacks of the virtual laboratoriescomparing to the traditional ones. However, this section is not intended to provide acomprehensive coverage of the benefits and drawbacks of