. Through an analysis of the WiSE Program at USC,we hope to present a model from which others can draw on to tackle the same issues at their owninstitutions.IntroductionIn 2000, the University of Southern California (USC) launched its Women in Science andEngineering (WiSE) Program. Funded by a $20 million gift to the endowment, the goal of theprogram is to increase the number of tenured and tenure-track women faculty in science andengineering (S&E). Spearheaded by an energetic group of tenured faculty, the programs andactivities of the WiSE program have been designed to address a broad range of issues that affectthe representation of women in S&E.Operating from the Office of the Provost, WiSE works with deans and departments in the
were 46 juniors surveyed the first year. Page 12.549.3There were 38 seniors and 48 juniors surveyed the second year.Assessment ResultsThe following table shows a summary of the assessment results. There are many ways that thedata and numbers could be analyzed and presented. The authors have chosen a weightedresponse based on assigned weights for each response. For reference, the table shows thepercentage response for each administration of the quiz. Percentage Response Weighted Response Question Response Response Jr.'s Jr.'s Sr.'s Jr.'s Jr.'s Sr.'s No. Choice Weight FA06 FA05 FA06 FA06
* where: − A1(T − T *) ηo = D1 exp A2 + (T − T *) Page 12.1279.5where: η is the viscosity (Pa.s), γ is the shear rate (1/s), T is the temperature (K), T* is D2+D3.P(K), P is the pressure (Pa), A2 is A2*+D3.P (K), while n, τ*, D1, D2, D3, A1, and A2* areregression coefficients based upon empirical data. For the base polypropylene used in this study,the values of these coefficients were, respectively, 0.2751 (-), 24200 (Pa.s), 4.66x1012 (Pa.s),263.15 (K), 0 (K/Pa), 26.12 (-), and 51.6 (K).Using
(namely students and industrial partner participants) are alsoidentified. In this paper, we highlight the impact of improvement efforts on outcome items (h)and (c), and begin discussions about results for outcome item (j).Over the past seven semesters, the assessment schedule within the capstone design course haspurposely repeated several outcomes. This schedule is seen in Table 1. Semester Outcome Items Assessed F'03 c, e, f, g S'04 c, e, f, g F'04 d, g, h, p S'05 h, i, j F'05 c, h, i, j S'06 f, i, j, n F'06 c, g, h, i, jTable 1. Outcome assessment schedule in capstone design course.Rubric data is gathered each semester for the assigned outcomes within
directly over the conveyor areconsidered as two horizontal planes. These two planes are considered parallel, hence any point Page 12.1236.4on the image plane (denoted as ai and bi in Figure 3) can be mapped into the robot plane. Figure 2. Snapshot of the API developed for EQM. By operating individual values of ai and bi with the scale factors Sx and Sy, the imagecoordinates (pixel coordinates) can be translated into the robot coordinates using the followingfunctional relationship40: f : Pi 5 R i +S i © v i +i i , (1)where Pi = the robot state vector
find the numerical solution directly from the aboveequation and initial conditions. Matlab code using Symbolic Toolbox and the response plot areshown in Figure 2. % Solve the ode and assign the solution to variable 'x' x = dsolve('D2x + 2*Dx + 5*x = 3','Dx(0) = 0','x(0) = 0','t') % Plot the response from 0 to 5 seconds ezplot(x, [0,7]) % Assign labels to axes and a title to the plot xlabel('Time (s)') ylabel('Response by dsolve') % Plot gridlines grid on % Define axis axis([0 7 0 0.8]); Figure 2 - Matlab code using Symbolic Toolbox and response plotingTwo approaches are introduced to the students to find the solution of an ODE in Simulink. Thefirst one is based on
daemon,# identified by the full daemon path listed below. Paste (Ctrl_v) the saved TEST-Code on this I/O Panel,# click Load and then Super-Calculate to recover the solution. You can email a solution in this manner.############################################################################################## Daemon Path: Test>Daemons>Systems>Open>SteadyState>Specific>RefrigCycle>PC-Model; Version: v-8.0bj04##--------------------Start of TEST-Codes----------------------------------------------------------------------------- States { State-1: H2O; Given: { p1= 12.5 MPa; T1= 550 deg-C; Vel1= 0.0 m/s; z1= 0.0 m; mdot1= 24.0 kg/s; }\ State-2: H2O; Given: { p2= 20.0 kPa; s2= "s1
new winDSK6 module, calledCommFSK, which includes the following features: • generation of phase continuous and phase discontinuous FSK with adjustable data rate; • control of the modulated signal’s amplitude, center frequency, and frequency deviation; • source data selection from a pattern of alternating 0’s and 1’s, several PN-sequences, random data, all 0’s, all 1’s, ASCII text messages from keyboard, or data from files; • optional built-in or user-defined asynchronous communications protocol; • user defined FIR-based filtering of the resulting FSK signal; and, • full integration into the winDSK6 program. Page
search, acquisition, track andtarget subsystems. In the early 1970’s, the first author was evolved with designing, building andinstalling successful ground based missile locating and tracking systems for the Department ofDefense. Funds for additional ground based missile locating and tracking systems were notallocated because a decision was made to deploy satellite missile defense systems. The 1972Antiballistic Missile (ABM) Treaty with the Soviet Union delayed development of missiledefense systems by the United States (U.S.). Now, the U.S. has a National Missile Defense(NMD) program. The most pressing concern today is the feasibility of an attack by NorthKorean ballistic missiles bearing nuclear or biological weapons. Hypothesizing that a
AGREE NOT SURE DISAGREE DISAGREE BEFORE AGREE STRONGLY BEFORE AGREE STRONGLY TODAY TODAY The activities on nanoscience and engineering made N a n o t e c h n o lo g y p re s e n t a t io n me more confident that I can do science/engineering 8 10
AC 2007-392: THE DIFFERENTIAL EFFECTS OF FEMALE ONLY VS. CO-EDENRICHMENT PROGRAMS ON MIDDLE SCHOOL STUDENTS' ATTITUDESTOWARD SCIENCE, MATHEMATICS AND ENGINEERINGLinda Hirsch, New Jersey Institute of Technology DR. LINDA S. HIRSCH is the Program Evaluator in the Center for Pre-College programs. She has a doctoral degree in educational psychology with a specialty in psychometrics and a Masters degree in statistics. She has been involved in all aspects of educational and psychological research for 15 years. Dr. Hirsch has extensive experience conducting longitudinal research studies and is proficient in database management, experimental design, instrument development, psychometrics and
designed. CAD, which is the use of a wide-range of computer-based tools fordesigning and developing products, is an important geometry-authoring tool for the productlifecycle management. It ranges from 2D vector-based drafting systems to 3D parametric surfaceand solid design modeling systems. In the product lifecycle a physical prototype can be producedfrom drawings or from a computer-aided manufacturing system (CAM). The prototype is thentested for design compliance and produced for mass production in the manufacturing division.When Internet technologies were adopted in the engineering design industry in the 1990's, workin engineering design was restructured. Collaboration is the trend of today in order to benefitboth higher education and
during burnsc = total distance covered during coasting∆s = distance covered during one iteration of coasting portionΣ∆s = total distance covered during coastingt/c = thickness ratio of finsV = velocityρ = air density, sea levelIntroduction:Most aerospace engineering curriculums contain an introductory course that introduces a Page 12.897.2sophomore student to the world of aerospace. Generally this course tends to be a broadintroduction to terminology, basic aerodynamics, performance, propulsion and structures. Insome programs, a hands-on project is assigned to the students to make the course moreinteresting and provide
Ca Un ty o SLO ro ive f K lin rs an a it s A & y o as
means and standard deviations of student work term performanceindicators. The results are communicated through Mean Standard DeviationMatrixes (MSDM’s) or Delta Mean Standard Deviation Matrixes (ÄMSDM’s).The problem of matching curricular content with industrial needs has been, bothnationally and internationally, approached on a variety of levels. Accountabilityconcerns have created a focus on practical learning outcomes deemed importantby industry. The Accreditation Board for Engineering and Technology (ABET)2000 Criteria, developed in the late 1990’s, strongly emphasize an understandingof market needs. Measurement, feedback and continuous improvement formcorner stones of the ABET 2000 philosophy. The thinking behind the criteria islargely
are truly underrepresented, what efforts are being made to correct the phenomenon? Dowomen in science and engineering reach the top in their fields? If not, why? For the purpose ofthis paper, women in academia and in the industry will be the focus.I. IntroductionThe statistics of education show that women outnumber men in college enrollment. Womenrepresents sixty percent of the undergraduate population and in 2001-2002, women earned moredoctorates in the United States than men. However, women are underrepresented in science andengineering (S&E) fields. Science and engineering education in the United States has a genderedhistory. In a study for the National Science Foundation, Jon Miller1found that while 9 percent ofadult men are
graduate student mentors and SURE participants is a vitalaspect of establishing strong mentoring relationships. During the 2005 SURE programthe SURE Program Coordinator was solely responsible for the pairing of studentparticipants with graduate student mentors. However, in the 2006 SURE program,graduate student mentors were given the opportunity to select student participants tomentor. Selection was based upon evaluation of a list that included the studentparticipant’s home school, hometown, research area, and faculty advisor. A maximum oftwo and a minimum of one SURE participant(s) were given to each graduate mentor.Graduate student mentor opinions were solicited in the 2006 SURE program. Thisincreased participation in program activities amongst
Page 12.561.4characteristics, there was a broader range of characteristics listed and therefore a longer list ofthemes.Table 1. Technical and Tinkering Skills Themes Technical Skills Themes Tinkering Skills Themes Knowledge/background Knowledge/background Technical Technical Problem(s) Problem(s) (How things) work (How things) work Think/reason Think/reason Tool(s) Tool(s) Creative Creative Analytical Analytical Interest Interest Hands-on Hands-on Curious/inquisitive Curious
S, D Q, S, D S, Q, D5.2 Find items under bending5.3 Bending members with commoncross-sections5.4 Feel craft sticks bending5.5 Stress Opticon: Bending stressdistribution S, Q, D5.6 Quantify flexure in a craft stick5.7 Stress Opticon: simple support5.8 Photoelastic beam bending S, D S, Q, DStress Transformation7.1 Directional Strength (Craft Stick) S7.2 Directional Orientation inStructures7.3 Photoelasticity: Beam with holes S, Q, D7.4 Matching loads and failure planes7.5 Brittle and Ductile Failure
request signal(s) to the previous register stage, utilizing either the full-word orbit-wise completion strategy 18. To ensure delay-insensitivity, NCL circuits must adhere to thefollowing criteria: Input-Completeness 16 and Observability 16. Furthermore, when circuits utilizethe bit-wise completion strategy with selective input-incomplete components, they must alsoadhere to the completion-completeness criterion 19, which requires that completion signals onlybe generated such that no two adjacent DATA wavefronts can interact within any combinationalcomponent.NCL systems consist of Registration, Combinational Logic, and Completion Detection,connected together as shown in Figure 1. NCL registration is realized through cascadedarrangements of single
Simulink model and Figure 5 shows a typical comparison of modeland experimental results. Page 12.478.6 Kp psi lbs in/s^2 1 1 in in^3/s 1 in/s 1 Kamp Kq 4*Beta/Vt A 1/M in V 1
is also being continually reduced. Returning to the purpose of this paper we can now surmise that it would be very usefulif, as we undertook our energy transfers, we could use a gage to quantify the degradationof energy ‘quality’ through our various processes or systems. A rapidly rising entropyreading would alert us to areas of high energy degradation and also allow us to comparedifferent processes more appropriately.Entropy. It turns out that there exists a property called Entropy which can be used as an indicatorof how the quality of energy is being degraded. This is the property our imaginary gagemust measure. Just like our first law equation this property can be placed into the Reynolds TransportEquation : DS •S
© American Society for Engineering Education, 2007 Curricular Middle Management: The Role of a Graduate Student Instructor in a Senior-Level Design CourseAbstractThe traditional responsibilities of a graduate student instructor (GSI) usually consist of acombination of activities meant to aid the primary instructor for the course and to reinforce thematerial that is being delivered in lecture. Creating and grading homework sets, supervising labs,meeting with students in discussion sessions, and grading exams are a few of the many differenttasks that a GSI must undertake throughout a typical semester. However, when a GSI isinvolved in a team-based, senior-level design course, s/he must assume a different role and makeuse of a
AC 2007-688: A SHORT COURSE IN UNDERSTANDING PRINTS FOR AUTOMANUFACTURING PLANTSMulchand Rathod, Wayne State University Mulchand S Rathod, PhD, PE, professor of Division of Engineering Technology, Wayne State University, Detroit, Michigan is recognized for a career of dedicated, unselfish service to engineering and technology education, as a leader in education, faculty member, and as a contributor to professional societies. Dr Rathod lead the Division of Engineering Technology as director and chair during 1987-2003. Prior to joining WSU, he worked at State University of New York at Binghamton as coordinator of mechanical engineering technology program holding the ranks of assistant and
. Page 12.675.11 10References[1] Felder, R. M. & Silverman, L. K., (1988), “How Students Learn: Adapting Teaching Styles to Learning Styles”, Proceedings of the Frontiers in Education Conference, Santa Barbara, CA, USA, p. 489.[2] Felder, R. M., (1993), “Reaching the Second-Tier Learning and Teaching Styles in College Science Education”, Journal of College Science, Vol. 23, No. 5, pp. 286-290.[3] Wang, S.-L., (1996), “Mechanism Simulation with Working Model”, Proceedings of the Frontiers in Education Conference, Salt Lake City, Utah, USA.[4] Slater, K. & Gramoll, K., (1995), “Vibration Visualization using Longitudinal Vibration Simulator (LVS)”, Proceedings of the ASEE Annual
majors. We have developed a web-basedenvironment that presents pairs of problems and then asks questions about thoseproblems one at a time (see Figure 1 for sample questions related to work-energy). Page 12.1013.4Problem 1 (Giancoli 6-19) Problem 2 (Giancoli 6-23)A 0.088kg arrow is fired from a bow whose string A 0.25kg softball is pitched at 26m/s. By the time itexerts an average force of 110N over a distance of reaches the plate a distance 15m away it has slowed0.78m. to 23m/s.Neglecting air resistance, what is the speed of the Neglecting gravity, what is the
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) Bioinformatics in the post-sequence era. Nat Genet 33 Suppl:305-10. 4. Our cultural commonwealth: The Report of the ACLS Commission on Cyberinfrastructure for the Humanities and Social Sciences, July 18, 2006 5. Buetow, K (2005) Cyberinfrastructure: empowering a “third way” in biomedical research. Science 308(5723): 821-824. 6. Greene, K. and S., Donovan. (2005) Ramping Up to the Biology Workbench: A Multi-Stage Approach to Bioinformatics Education. Bioscene 31(1): 3-11. 7. Rainey, D., Faulkner, S., Craddock, L., Cammer, S., Tretola, B., Sobral, B.W., and O., Crasta. 2007. A project-centric approach to cyberinfrastructure education. TeraGrid 2007. 8. He, Y., R. R. Vines, A. R. Wattam, G
balance of push-and-pull. If thesuspended object gets too close to the electromagnet, the electromagnet should push itaway. Conversely if it falls too low the electromagnet should work at pulling it back up.The LM1820 driver chip has a built-in H-bridge that can reverse polarity of its output andis perfect for this application.Analog Phase-Lead ControllerThe system is open-loop unstable and a phase-lead controller is needed to increase thephase margin of the system to stabilize it. The open-loop transfer function of the system 6.82 × 10 7can be found using the Bode diagram approach to be G p ( s ) = 2 , with its
AC 2007-2055: THE EFFECTS OF GENDER ON ELEMENTARY-AGEDSTUDENTS' INTEREST IN TECHNOLOGY: A PRELIMINARY REPORTCarol Stwalley, Purdue University Dr. Carol S. Stwalley earned her BS, MS, and Ph.D. degrees from the School of Agricultural and Biological Engineering at Purdue University and is a registered professional engineer in Indiana. She performed the described research while the Assistant Director for the Purdue Women in Engineering Program. Currently, she performs assessment for the Purdue Minority Engineering Program. Dr. Stwalley also is the President of Paradocs Enterprises, Inc. which is a consulting engineering firm specializing in renewable energy projects and property transfer issues