Electronic Communications courseThis paper discusses one of the projects in ElectronicCommunications II course which gives students the opportunity tothink and apply their knowledge in electronics, communicationsand mathematics to design, build and test frequency modulatedcommunication transmitter. The course is also designed to meetABET general criteria 3: Student Outcomes (b, d, e). Thetransmitter consists of four blocks. There is audio source blockwhich is a computer to provide the audio signal that needs to bemodulated, a frequency modulator circuit that is used to combineboth the audio and the high frequency carrier, a high frequencyoscillator circuit that generates above 88MHz and below 108MHzcarrier, a power amplifier to
responseswhen the EDM students answered either “strongly agree” or “agree” to the selected questions. Table 6 Knowledge retention from EDM to SDP, conducted in SDP class Survey type: Knowledge Retention (KR) Question Answer choices Answer weight Percentage % A FMEA Second best 41.111. When analyzing a product for potential B FTA risks due to faults and failures, I am C Both A & B Best 56.67 aware of the following fundamental D None of the above
position motors, occupant sensors, seat control switch Door: mirror switch, central ECU, power window lift, door lock Safety and investigation: automotive black box.FlexRay is a high speed communication protocol used to communicate among different devicesin an automobile system. It is a multi-master network and was created to increase reliability,quantity and speed of data being communicated among the vehicle’s ECU. FlexRay networkingstandards work on the principle of TDMA and have dual-channel architecture. It has a hostprocessor which controls the communication process via communication controller and busdriver. Each FlexRay node has two physical channels A and B facilitating data rate of up to10Mbps per channel. It can be employed as
aspectrophotometer (Figure 3b). As a take-home exercise, the students were also asked to estimatethe amount of gold they synthesized in their experiment. (a) (b) Figure 3. (a) Students working in the chemistry lab; (2) Absorbance reading of colloidal gold solution.Electrospun nanofibers were the second type of nanomaterials the students learned and practiced.After demonstration by the team leader, the students prepared their own biodegradable nanofibersamples collected on aluminum foils using different parameters. They could use these samplesfor electron
) Administrator dashboard view: Those given an Admin role can view and edit flight plantemplates for any major and also have all the same functionality as Advisors.Fig. 3) Flight plan templates are created for each major degree program. Revisions can be madeat any time by a GEFP administrator. Department advisors must agree on an annual currenttemplate for each major.Fig. 4) Students mark off milestones as they are completed. They can also click on any of themany hypertext links and will be directed to a relevant page that might provide instructions onhow to carry out the milestone or event registration details. (a) (b)Fig. 5) (a) An advisor might provide a helpful comment on a
, testing, measurements & prototyping (c) Appropriate design assumptions, techniques & engineering analysis (b, d, f) Appropriate utilization of engineering tools (ie cad software, analysis software, etc.) (a, b ,c, d, f) Appropriate use of graphs, tables & figures (g) Appropriate format, technical writing technique & logical flow of information (g) Complete, accurate references & bibliography (g) Demonstrated application of engineering principles to formulate a solution to a technical problem (a) Totals Evaluation Scale 4.0 Excellent 3.0 Good 2.0 Average 1.0 Poor 0.0 UnacceptableTable 4. Assessment Rubric for Written Report. Capstone Design Project Presentation Assessment
sufficient understanding of the Body of Knowledge (Technical Materials Science Body content) in materials science necessary for practical application in the of Knowledge Mechanical Engineering profession. a. Basic classification, structure, properties, processing, and performance of engineering materials (metals, polymers, ceramics, composites) b. Periodic table of elements, atomic bonding, and crystalline structure. c. Grain structure, crystalline defects and strengthening mechanisms. d. Fundamental principles and mechanisms of diffusion in solids. e. Mechanical behavior of materials including stress-strain curves, elastic and
bimolecularrecombination are incorporated into a drift-diffusion model and used to estimate the currentdensity and efficiency of organic solar cells.18 These processes are unique features and conceptsinherent in disordered organic materials which are solved numerically under illumination. Figure2 (b) shows examples of free carrier distributions inside organic layers simulated using electricalmodel.(a) (b)Figure 2. (a)Photoconversion process and (b) distribution of charge carriers inside an organicsolar cell.Organic solar cell simulation has many capabilities for optical and electrical models as follows: Capabilities of Optical Models Capabilities of Electrical Models TMM optical
determine the first natural frequency of the wing structure. By integrating researchresults into the classroom, many engineering mechanics and mechanical vibration concepts canbe reinforced by (a) analyzing a “real-world” problem through simple mechanical models tosimulate a complex structure and (b) by highlighting the relationships between physical andmathematical models of an actual aerospace structure.I. IntroductionSeveral papers have reported on the importance and benefit of including research into theundergraduate curriculum. Phillips and Schroeder 1 note that undergraduate research thatcomplements course topics is innately interactive and can enable student interest in engineering.Prince et al 2 highlighted the potential of research
a twenty-item engineering attitude sub-scale and a nine-item job-interest subscale with nine items along three interest dimensions: (a) Invent (jobs and activities that involve inventing and building/designing cars and buildings); (b) Help (jobs and activities that involve helping people and the environment; and (c) Figure Things Out (jobs and activities that involve figuring out how things work). Questions about engineering career attitudes included items such as, "I would enjoy being an engineer when I grow up" and "Engineers help make people's lives better".Modified Draw-a-Scientist Test (mDAST). While the DAST and DAET drew from relativelysimple “draw a scientist” or “draw an
. The control group had only traditionalinstruction (X1) and no prediction or reflection activities. A focus group of students wasassembled from those who participated in the prediction activities to further observe the impactof the activities on student learning.Table 1: Experimental Design. The same HECI test was administered pre- and post-instruction as a quantitativeform of observation (O1). In addition to traditional instruction (X1), the instruction received by Class B alsoincluded prediction activities (X2) and instruction in Class C also included reflection activities (X3). A voluntaryfocus group was assembled of students from Class B and Class C. HECI Traditional Prediction Reflection
/. [Accessed: 31- Mar-2015].[4] H. P. Mandel, The Psychology Of Underachievement : Differential Diagnosis And Differential Treatment. New York: Wiley, c1988.[5] E. W. Gordon, Supplementary Education : The Hidden Curriculum Of High Academic Achievement. Lanham: Rowman & Littlefield Publishers, c2005.[6] C. M. Steele and J. Aronson, “Stereotype threat and the Intellectual Test Performance of African Americans.pdf,” J. Pers. Soc. Psychol., vol. 69, no. 5, pp. 797–811, 1995.[7] S. Hurtado, C. B. Newman, M. C. Tran, and M. J. Chang, “Improving The Rate Of Success For Underrepresented Racial Minorities In STEM Fields: Insights From A National Project,” New Dir. Institutional Res., vol. 2010, no. 148, pp. 5–15
failing. Totalexam points (Figure 2) were scaled accordingly: ─ 1.0: maximal points - 67.6; ─ 1.3 – 67.6 - 62.8 ─ 1.7 – 62.8 - 59.2; ─ 2.0 – 59.2 - 55.6; ─ 2.3 – 55.6 - 50.8; ─ 2.7 – 50.8 - 47.2; ─ 3.0 – 47.2 - 43.6; ─ 3.3 – 43.6 - 38.8; ─ 3.7 – 38.8 - 35.2; ─ 4.0 – 35.2 - 34.0; ─ 5.0 – < 34.0.Grades were grouped into three groups: 0.7-2.7, 3.0-4.0, and 5.0. This is approximately equivalentto A-B (0.7-2.7), C-D (3.0-4.0), and F (5.0) in the United States.The overall average of total exam points was 38.43 11.9 of 94 available with an average gradeof 3.7 (Figures 2 and 3). Students received the lowest number of available points on Task 1(properties and organic chemistry: 2.15
Engineering Research and Innovation. ISSN: 2152- 4165, Vol 7, 1, 43-47 Dakeev, U., Mazumder, Q., Yildiz, F., Baltaci, K., (2015). “Design and Development of a New Small-Scale Wind Turbine Blade”. ASEE Annual Conference, 2015, Seattle Hansen, M.O.L., Sorensen, N. N. & Flay, R. G. J., (2000). “Effect of Placing a Diffuser around a Wind Turbine.” Wind Energy, 3, pp.207-213, 2000 Kosasih, B. & Tondelli, A., (2012). Experimental study of shrouded micro-wind turbine. Evolving Energy-IEF International Energy Congress. [Electronic version]. Procedia Engineering 49 (2012) 92-98
. Students will understand the definitions of stress and strain, and basic mechanical properties of materials such as a Knowledge elasticity, yielding stress, Young’s modulus and Poisson’s ratio 2. Students will apply concepts of strain and stress to the analysis of statically-determinate (a) and indeterminate (b) a, e Comprehension bars under axial loading 3. Students will apply concepts of strain and stress to the analysis of statically-determinate (a) and indeterminate (b) a, e Comprehension shafts in torsion 4. Students will analyze the shear, moment distribution
system model, given the system transfer function.Open-loop mass-spring-damper systemA mass-spring-damper mechanical system10 excited by an external force (f) is shown in Figure 1.This second-order system can be mathematically modeled as a position (x) control system withobject mass (m), viscous friction coefficient (b), and spring constant (k) as parameters. Based ona free-body diagram, the system differential equation is expressed in (1). Using LaplaceTransform, this time-domain equation leads to a position-to-external force transfer functiongiven by equation (2). Once the transfer function is derived, a set of parameter values (m = 0.1kg, b = 1 N*s/m and k = 2 N/m) is used to obtain the system transfer function shown in (3
Paper ID #16898Cranking Up Cornerstone: Lessons Learned from Implementing a Pilot withFirst-Year Engineering StudentsDr. Susan F. Freeman, Northeastern University Susan Freeman, is a member of Northeastern University’s Gateway Team, a group of teaching faculty expressly devoted to the first-year Engineering Program at Northeastern University. The focus of this team is on providing a consistent, comprehensive, and constructive educational experience that endorses the student-centered, professional and practice-oriented mission of Northeastern University.Dr. Courtney Pfluger, Northeastern University Dr. Courtney Pfluger
. 316, pp. 548-549.[2 Zydney, A. L., Bennett, J. S., Shahid, A., and Bauer, K. W. 2002, “Impact of Undergraduate Research Experience in Engineering,” Journal of Engineering Education, Vol. 91, pp.151–157.[3] Hathaway, R. S., Naqda, B. A., and Gregerman, S. R., 2002, “The Relationship of Undergraduate Research Participation to Graduate and Professional Education Pursuit: An Empirical Study,” Journal of College Student Development, Vol. 43(5), pp. 614-631.[4] Conrad, L. F., May, G. S., and Auerbach, J. L., 2013, “REU Site: Summer Undergraduate Research in Engineering/Science Program at the Georgia Institute of Technology,” Proceedings of the 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia.[5
should demonstrate the following learning outcomes out of the course outcomes: a. Provide an understanding of how a computer draws the fundamental graphics primitives - lines and filled polygons in both 2-D and 3-D. b. Use the facilities provided by a standard API to express basic transformations such as scaling, rotation, and translation. c. Implement simple procedures that perform transformation and clipping operations on a simple 2-dimensional image. d. Discuss the 3-dimensional coordinate system and the changes required to extend 2D transformation operations to handle transformations in 3D. e. Explain the concept and applications of each of these techniques
simulated a one-dimensionalrandom walk.Data Collection Two main sources of data collection are considered for this study. The first source is theset of in-code comments students wrote as self-explanation of the worked-example. Two samplecommented codes submitted by the students are depicted in Figure 1. Note that the differences inthese two students’ approach to self-explaining are not limited to the extension of the comments.While student A did not describe the purpose of the function and each of the parameters, studentB did. Also, student A described the code in terms of the data structures (e.g. matrix, vector) andoperations between them, while student B consistently used science concepts (e.g. “…the overallvelocity to decrease if the
theoretical frames andsubsequent results exemplified and conformed to each theme. Whereas similar syntheses, such asthat performed by Benitti (2012), mainly considered the mundane functionality of roboticplatforms (i.e. what subjects/topics were taught; was robotics an instrument or the educationalfocal point; are robotics truly effective educational tools; etc.), the current review has proffered amore conceptual approach in our attempt to summarize the 119 studies. In short, the purpose of conducting our review was to: a) organize the studiesinvestigating K-12 robotics implementation under various themes in order to present a fluent andcomprehensible picture of the current state of research; b) present a synthesis of empiricalevidence
Paper ID #16919A Longitudinal Study of Social and Ethical Responsibility Among Under-graduate Engineering Students: Preliminary ResultsDebra S. Fuentes, Brigham Young University Debra S. Fuentes is a doctoral student at Brigham Young University in Educational Inquiry, Measurement, and Evaluation specializing in Mathematics Education. She received a Master’s degree in Curriculum and Instruction emphasizing English as a Second Language, and a Bachelor’s degree in elementary education, minoring in Spanish and pre-medicine studies. She previously worked in education as a teacher and administrator in Utah and Mexico for
, Content, and Tools as demonstrated in Figure 2.Figure 1. Course left-pane navigation: Under the orientation section students had access to a) “Announcements” link containingweekly announcements sent out by the instructor; b) “Syllabus”; c) “Faculty information” withthe instructors’ contact information, communication policies, and office hours; and d) a “GettingStarted” area that contained technical and software information necessary for assignmentcompletion, a Blackboard student guide, directions for the first week of class, and an explanationof the blended model as follows: "CNST 1121 is a 3-credit course blended course. The class sessions are scheduled twice aweek; Monday and Wednesday. Starting on the 2nd week, you will not physically
current cohort’s pre- and post-programanalysis. The second data analysis measured the effects of the program on the current cohort ofteachers by administering a pre-program survey, which was the end of year survey previouslymentioned, and a post-program survey. The post-program survey questions are attached inAppendix B. The pre-program survey captured data related to the teachers’ current classroompractices in regards to the use of the EDP and STEM learning techniques. The post-programsurvey, given to the current cohort of teachers, captured data on how the externship programaffected their perception and intended frequency of use of these concepts in the classroom duringthe upcoming school year. To analyze the data collected from the surveys, a
limited to: Does yourproject speak of your interests? What were the most challenging/hard parts of this project?What made you come up with this idea? What were you attempting to solve? If you could goback and change something, what would it be? The narratives were then collected as theyevaluated their provisional selves via self-reflection.Findings and DiscussionBelow are excerpts from the student narratives collected that provide evidence of selfreflection pertaining to the profile of a design thinker2 and dimensions of the InformedDesign Teaching and Learning Matrix13.EmpathyOn their design serving their own interests well:Student A: “But for the most part you have to leave them out because you can’t be biased asto what the kids want.”Student B
defined as: ● Examining the transitions from the synchSM's current state and transitioning to the appropriate next state (and execution any actions on that transition), and ● Executing the actions of that next state, after which the tick is complete. Figure 1 provides three examples. Figure 1(a) shows a simple system that lights one of three LEDs in a sequence, one at a time. Fig 1(b) shows a similar system, but for eight LEDs, and instead using C's bitshifting capability to set 1 bit in 8bit output B. Fig 1(c) shows a system that computes the speed of a car passing over two input sensors A0 and then A1 separated by 10 feet
; however, there remains a lack of cohesiveengineering thrusts in primary and secondary school curricula [7]. This gap misses a hugeopportunity, as engineering design encourages students to critically think about importantsocietal challenges and link their work immediately to tangible outcomes which would promotecontinued interest in STEM. Hence, there is an emergent demand for (a) students who have hadsignificant, hands-on engineering and design experiences and (b) trained K-12 teachers who canimpart engineering and design principles to their students. To address the pressing need for high school engineering design training, particularly foryoung people from underserved minority populations, we have created the HYPOTHEkids (Hk)Maker Lab, a six
= freshman, S = sophomore, J = junior, Sr = senior), UoU = University of Utah,SLCC = Salt Lake Community CollegeTables 2 exhibits the types of students surveyed, and the designations for each category. Bothtables 1 and 2 are shown above and in the following page. # Type of Student Surveyed CATEGORIES 1 SLCC (F only) Category A Students 2 SLCC (S only) Category B Students 3 SLCC only Chemical Engineering (F,S) Category C Students 4 SLCC and U of U (F,S,J,Sr) Category
to expose students to these crucial subjects. The revisedcurricula are in their second academic year of implementation, thus putting last year’s students intheir senior year, implementing their capstone projects during this academic year.The four primary criteria for successful completion of the Green Belt Certificate are: (1) Completion of the Quality Systems course (ET 331) with a grade of B or better. (2) Completion of the Lean Six Sigma course (ET 334) with a grade of B or better. (3) Completion of a separate gateway exam covering the entire body of knowledge with a grade of 80% or better. (4) Completion of a Lean Six Sigma project to the satisfaction of the project sponsor.Success in the two courses highlights the
2. As a group these texts have includedmore coverage of spreadsheets than we had expected. We have not done a detailed analysis ofpre-proposition editions with the current editions, but we did see changes—sometimes verysignificant ones that represented using more spreadsheet functions or presenting them verydifferently. Table 2. Methods for TVM Calculated Examples TVM TVM Book # Exp. Factors SSht Formulas B&T 7th 121 72% 51% 27% B&T Basic 2nd 85 72% 31% 26% Newnan 12th 156 62% 53