problem- based learning and predict performance,” PLoS One, vol. 13, no. 9, pp. 1–21, 2018.[6] E. Nogueira and D. F. Tsunoda, “A Proposed Model for Consumer-Based Brand Equity Analysis on Social Media Using Data Mining and Social Network Analysis,” J. Relatsh. Mark., vol. 17, no. 2, pp. 95–117, 2018.[7] X. Lin, X. Hu, Q. Hu, and Z. Liu, “A social network analysis of teaching and research collaboration in a teachers’ virtual learning community,” Br. J. Educ. Technol., vol. 47, no. 2, pp. 302–319, 2016.
, pp. 271–286, May 2007.[8] T. E. Basford, L. R. Offermann, and T. S. Behrend, “Do You See What I See? Perceptions of Gender Microaggressions in the Workplace,” Psychol. Women Q., vol. 38, no. 3, pp. 340–349, Nov. 2013.[9] N. F. Sulaiman and H. AlMuftah, “A Qatari perspective on women in the engineering pipeline: an exploratory study,” Eur. J. Eng. Educ., vol. 35, no. 5, pp. 507–517, 2010.[10] A. Berrais, “Arab Women in Engineering Education: Current State and Future Perspective,” in Symposium Female Higher Education: Trends and Perspectives, 2011.[11] A. Powell, B. Bagilhole, and A. Dainty, “How Women Engineers Do and Undo Gender: Consequences for Gender Equality,” Gender, Work & Organization, vol. 16, no. 4. pp. 411
better spatialvisualization skills, and eventually succeed in their engineering education and future careers. References 1. J. Boaler, “Ability and Mathematics: the mindset revolution that is reshaping education,” Forum, vol. 55, no. 1, p. 143, 2013. 2. J. L. Burnette, M. V. Russell, C. L. Hoyt, K. Orvidas, and L. Widman, “An online growth mindset intervention in a sample of rural adolescent girls,” British Journal of Educational Psychology, vol. 88, no. 3, pp. 428–445, 2017. 3. Q. Cutts, E. Cutts, S. Draper, P. Odonnell, and P. Saffrey, “Manipulating mindset to positively influence introductory programming performance,” Proceedings of the 41st ACM technical symposium on
International Conference on Advanced Wireless, Information, and Communication, 2015, pp. Volume 73, 2015, Pages 162-171. [9] T. S Rappaport, Wireless Communications: Principles and Practice.: Prentice Hall , 2002.[10] Merlinda Drini and Tarek Saadawi, "Modeling Wireless Channel for Ad-Hoc Network Routing Protocol," in ISCC Marakech Marocco, 2008, pp. 549-555.[11] Amir Salman Avestimehr, Suhas N. Diggavi, and David N C. Tse, "A Deterministic Model for Wireless Relay Networks and its Capacity," in IEEE Information Theory Workshop on Information Theory for Wireless Networks, 2007.[12] Q. Zhang, A. Kassam, and S.A, "Finite-State Markov Model for Rayleigh Fading Channels," IEEE transactions on communications, vol. 47, no. 11, pp. 1688
: Yij = β0j + β1j X1ij + β2j X2ij + β3j X3ij + β4j X4ij + ijwhere β0j is the intercept for the level 1 equation and β1j , β2j , β3j , β4j are the level 1 coeffi-cients of each X. Also, ij represents the level 1 random effect. The level 1 coefficients andintercept become the outcome variables for the level 2 variables. The level 2 model is βqj = γq0 + γq1 W1j + γq2 W2j + γq3 W3j + γq4 W4j + uqjwhere γqj , q = 0..4, are the level 2 coefficients of each W and uij represents the level 2random effect.The first step in the analysis is to run the empty or unconditional model (Model 1) and com-pute the intraclass correlation coefficient (ICC) in order to compute the proportion of the totalvariance in each class. For this
improve my leadership abilities in the future Read and learn to decipher the Watch the Texas Instruments 1Q18 earnings webcast (and 2Q18 in Understand the various aspects of various quarterly financial reports July), read the quarterly reports, and analyze the quarterly SEC 10-Q 0% Business business within engineering Aug-18 released by Texas Instruments form Meet and later connect on
-of-things platform as teaching aids in the industrialinstrumentation course International Journal of Online Engineering, 14(12), 26 - 42.Ding, Q., & Cao, S. (2017). RECT: A Cloud-Based Learning Tool for Graduate SoftwareEngineering Practice Courses With Remote Tutor Support IEEE Access, 5, 2262 - 2271.Pearson, T. (2014). A low-cost full-featured extensible laboratory for online hardwareengineering International Journal of Online Engineering, 10(3), 24 - 30.Shyr, W.J., Su, T.J., & Lin, C.M. (2013). Development of remote monitoring and a controlsystem based on PLC and webaccess for learning mechatronics International Journal ofAdvanced Robotic Systems, 10.Nedic, Z. (2012). Demonstration of collaborative features of remote laboratory
role in the mini-project / term Project presentation Integration development of societies and paper (written report and Q/A session industries and oral presentation) Actively participate in class Assessment record of Lecture and class discussions active participation discussion on Human Avoid plagiarism in report writing, Assessment of reports professional and ethical Dimension - and properly cite published sources for plagiarism and responsibility (including Self
.-C. Kuo, C.-Y. Kuo, and C.-H. Kuo. “Designing a reconfigurable biopotential amplifiers for medical instrumentation course,” IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, Oct. 2014, pp. 1186–1191, doi: 10.1109/SMC.2014.6974075.[34] J. D. DesJardins, E. Breazel, M. Reba, I. Viktorova, J. B. Matheny, and T. R. Khan. “Emphasizing Core Calculus Concepts Using Biomedical Applications to Engage, Mentor, and Retain STEM Students,” ASEE Annual Conference & Exposition, Jun. 2012, pp. 25.521.1-25.521.14, https://peer.asee.org/emphasizing-core-calculus-concepts-using- biomedical-applications-to-engage-mentor-and-retain-stem-students.[35] B. Sun, C. Xiong, W. Chen, Q. Zhang, L. Mao
throughthe quiz in case questions arise during grading about how they got their answer. The lockdownbrowser limits them to one page on the Trinket website and prevents them from opening otherapplications on their computer during the exam. They are also encouraged to use VPython tocomplete homework problems. A friend of yours has just completed the first discussion activity where a storm cloud is modeled as a negative point charge with q = 200 C a height of 1000 m directly over your position. They show you their computer screen and you notice something can’t be right with their model. Describe in detail how you know their results are wrong. Include an explanation of what you would expect to see instead. Feel free to include a sketch
-explored in engineering and the characterization of the formercan contribute to an understanding of the latter. A brief overview of the study is provided tocontextualize the research and its implications for workforce development.Postsecondary Student Engagement Survey (PosSES)The first phase of the study was the development and distribution of a survey on students’ out-of-class activities and outcomes. The instrument, termed the Postsecondary StudentEngagement Survey (PosSES), was generated through a process involving a literature review,Q-study with focus groups, panel of experts, and think aloud sessions. The survey was designedto understand the activities in which students participate, the barriers to participating, theincentive for
, 2004.[3] “SmartAXIS Touch,” IDEC. [Online]. Available:http://us.idec.com/Catalog/ProductSeries.aspx?SeriesName=10_SmartAXIS_Touch&FamilyName=40_PLC_HMI. [Accessed: 02-Feb-2020].[4] “ZGA37RG: ZGB37RG,” Zhejiang Zhengke Electromotor Co., Ltd. [Online]. Available:https://www.zhengkemotor.com/product/zhengkemotor_product_Dc_Gear_Motor_37mm_ZGA37RG_ZGB37RG.html. [Accessed: 02-Feb-2020].[5] “RT4S4LC4,” TE Connectivity, 03-Jan-2018. [Online]. Available: https://www.te.com/usa-en/product-1-1415073-1.html?q=RT4S4LC4&source=header. [Accessed: 02-Feb-2020].[6] “PBK-AP-2H,” AutomationDirect. [Online]. Available:https://www.automationdirect.com/adc/shopping/catalog/sensors_-z-_encoders/inductive_proximity_sensors/18mm_round_industrial_automation
George Saridakis. (2008). “The Role of Higher Education Skills and Support in Graduate Self-Employment.” Studies in Higher Education 33 (6): 653–72.Haynie, J. M., Shepherd, D., Mosakowski, E., & Earley, P. C. (2010). A situated metacognitive model of the entrepreneurial mindset. Journal of Business Venturing, 25(2), 217-229.Huang-Saad, A., Bodnar, C., & Carberry, A. (2020). Examining Current Practice in Engineering Entrepreneurship Education. Entrepreneurship Education and Pedagogy, 3(1), 4–13. https://doi.org/10.1177/2515127419890828Jesiek, B. K., Zhu, Q., Woo, S. E., Thompson, J., & Mazzurco, A. (2014). Global engineering competency in context: Situations and behaviors. Online Journal for Global
engineering.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1920421. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] National Science Board, "NSB-2018-2, Science and Engineering Indicators 2018," National Science Foundation, Arlington, VA, 2018. [Online]. Available: https://www.nsf.gov/statistics/indicators[2] D. E. Chubin, G. S. May, and E. L. Babco, "Diversifying the engineering workforce," Journal of Engineering Education, vol. 94, no. 1, pp. 73-86, 2005, doi: https://doi.org/10.1002/j.2168-9830.2005.tb00830.x.[3] Q. Clark
presentations by academicadvisors and various faculty members. The presentations included undergraduate researchoptions and their benefits, how to get involved in research, how to find advisors, and how to getresearch credits. There was a Q&A session with a panel of current UG researchers, and one-minute presentations by each research lab was followed to introduce various research topics tostudents. After all presentations, there was around 15 minutes for students to talk with facultymembers in person.Launch CE Summer Undergraduate Research Fellowships (SURF)URC at CE discussed about the survey data and made a plan to provide more researchopportunities to UG students in the department. The CE Summer Undergraduate ResearchFellowship (SURF) program
success,” Educate, vol. 7, no. 1, pp. 39–47, 2007.[16] J. Otero, J. M. Campanario, and K. D. Hopkins, “The Relationship between Academic Achievement and Metacognitive Comprehension Monitoring Ability of Spanish Secondary School Students,” Educ. Psychol. Meas., vol. 52, no. 2, pp. 419–430, Jun. 1992.[17] P. R. Pintrich, “The role of metacognitive knowledge in learning, teaching, and assessing,” Theory Pract., vol. 41, no. 4, pp. 231–236, 2002.[18] O. Lawanto, “Students’ metacognition during an engineering design project,” Perform. Improv. Q., vol. 24, no. 2, pp. 115–134, 2010.[19] O. Lawanto and S. Johnson, “Student’s cognitive self-appraisal, self-management, and the level of difficulty of an engineering design project
. No time for Q&A Student dresses 1 Dress was Dress was Dress was casual. Dress was Not appropriately. appropriate for acceptable for very casual. done. technical technical presentation. presentation. Confidence was weak. Exuded Confidence was
required to operate andmaintain these manufacturing systems. The proposed course is well designed for students to learndifferent aspects of skills and knowledge over a period one semester giving graduates a valuableadvantage in an increasingly competitive job market. This proposed course can be a part ofadvanced material and manufacturing or 4D printing (e.g. self-healing and shape memorycomposites) courses for sophomore and junior levels.References[1] Q. Ge, C. K. Dunn, H. J. Qi, and M. L. Dunn, "Active origami by 4D printing," Smart Materials and Structures, vol. 23, p. 094007, 2014. [2] S. Tibbits, "4D printing: multi‐material shape change," Architectural Design, vol. 84, pp. 116‐121, 2014. [3] Z. X. Khoo, J. E. M
, “Andragogy in Practice: Clarifying the Andragogical Model of Adult Learning,” Perform. Improv. Q., vol. 14, no. 1, pp. 118– 143, 2001.
Research Journal of Engineering and Technology, 3(4), pp. 540-545[10]. Murr, M. (2018). Facial Action Coding FAQs. Retrieved from https://socialexploits.com/blog/facial-action-coding-system-faqs/[11]. Lucey, P., Cohn, J. F., Kanade, T., Saragih, J., Ambadar, Z., & Matthews, I. (2010). The extended Cohn–Kanade dataset (CK+): A complete dataset for action unit and emotion- specified expression. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 94–101).[12]. Khademi, M. & Morency, L.-P. (2014). Relative facial action unit detection. In ECCV Workshop on Computer Vision, (pp. 1090–1095).[13]. Ding, X., Chu, W.-S., De la Torre, F., Cohn, J. F., and Wang, Q. (2013). Facial action unit
/sites/msf.org/files/how_low_can_we_go_vl_pricing_brief.pdf[7] H. Shafiee, S. Q. Wang, F. Inci, M. Toy, T. J. Henrich, D. R. Kuritzkes, et al., "Emerging Technologies for Point-of-Care Management of HIV Infection." vol. 66, ed PALO ALTO: ANNUAL REVIEWS, 2015, pp. 387-405.[8] U. Demirci and H. Shafiee, "System and method for detecting pathogens," ed: Google Patents, 2014.[9] M. M. Müller, M. I. G. Fraile, M. K. Hourfar, L. B. Peris, W. Sireis, M. G. Rubin, et al., "Evaluation of two, commercial, multi dye, nucleic acid amplification technology tests, for HBV/HCV/HIV 1/HIV 2 and B19V/HAV, for screening blood and plasma for further manufacture," Vox Sanguinis, vol. 104, pp. 19-29, 2013.[10] C. PEREIRA
brought many of my online activities--like demonstrating tostudents how I would research a company--into my face-to-face course. More broadly, I’ve usedmy LMS page to be more transparent about course and assignment-level goals and objectives. Inan online course, it’s important to present those clearly to students in each unit to promote theself-regulation and reflection. I often discuss those objectives in my face-to-face course, but I’vebeen more intentional about using the LMS to highlight them. Similarly, I (Prof. Livingston) have incorporated several elements into my face-to-faceclasses, such as weekly checklists and Q & A discussion forums. I use the discussion forums tohave students apply course concepts which both prepares them
Education, 34(1), 2018, 88-96. [10] Patton, M, Q, Qualitative Research and Evaluation Methods, Sage Publications Thousand Oaks, California, 2002. [11] Miles M, B, and Huberman A, M, Qualitative Data Analysis: An Expanded Sourcebook, Sage Publications, Thousand Oaks, California, 1994. [12] Creswell J, W, and Clark V, L, P, Designing and Conducting Mixed methods Research, Sage Publications, Thousand Oaks, California, 2007.
printed beam and a low-cost accelerometerThe topics for the flip lectures included the following: • Introduction to Frequency Response/Bode Plots for Dynamic Systems • Bode Part 1: Sketching • Bode Part 2: Sketching Examples • Bode Part 3: Generating Bode Plots in Python • Bode Part 4: Interpreting Bode Plots (System ID) • Bode Part 5: Random Bode Problem Generator • Bode Part 6: Experiments on a DC Motor + Beam System • Digital Signal Filtering with ArduinoThe playlist for these videos can be found here: https://www.youtube.com/playlist?list=PL5C8qVtFmjvdDiLRgCW2u956zwqG24Z6O.Additionally, there was one live Q & A session before the exam covering the material fromthe flipped lectures.The 3D printed beam and
is the thermal voltage, which is equal to 25.7 mV under thestandard test condition (STC) which refers to a temperature of 25°C or 298K.2.2. Task 1 — Reading Datasheets:In Task 1, students were required to note down the manufacturer specified PV parameters fromsolar module datasheets, such as open-circuit voltage (𝑉𝑂𝐶 ), short-circuit current (𝐼𝑆𝐶 ), temperatureco-efficient of short-circuit current (𝐾𝐼 ), and the cell area. This is an important step before thesimulation models can be constructed. Only one solar cell’s data (Q-Cells; Model: Q6LMXP3-G3,Power Class: 4.53) was used for modeling and simulation7. This cell had the following parameters:𝑉𝑂𝐶 = 0.636V, 𝐼𝑆𝐶 = 9.15A, and 𝐾𝐼 = +4.575mA/K, and cell area = 243.36 cm2.2.3
temperatures, the water volumetric flow rate, and the air velocity weremeasured. The water-side measurements were used to calculate the heat transfer rate from theheat exchangers since that provided the lower uncertainty. Results for the four heat exchangersthat did not leak and had a non-zero water flow rate are shown in Table 1.Table 1. Heat exchanger performance results. Group 3 Group 4 Group 7 Group 11 q (W) 38.7 26.8 61.2 23.6Group 7’s design performed the best of the heat exchangers that did not leak and flowed water.Interestingly, their design, which is shown in the lower left corner of Figure 3, was the only onethat directed the water flow through multiple parallel channels. The instructor
Figure5, students can visualize the operation of a microgrid consisting of 2 synchronized inverters.Exploiting the capabilities of the controller, we can employ one to simulate a wind turbine byplaying back actual waveforms recorded at a functioning wind farm. Students can see thewaveforms both as a time domain waveform as well as a D-Q representation. Figure 5 Two synchronized inverters with one playing back wind turbine waveformAs seen above, students have control over enabling or disabling the PI control of both real andreactive current and voltage, controlling the setpoint for these outputs, as well as the P and Iconstants from the controller for each output variable.At this level of study, students may directly engage with the
, 2006.10. R.R. Thomas, Beyond Race and Gender: Unleashing the Power of Your Total Work Force by Managing Diversity, American Management Association, 1991.11. Stanford Graduate School of Business, Diversity and work group performance, 1999. Accessed January 1, 2018, http://www.gsb.stanford.edu/news/research/diversity-work-group- performance.12. J. Surowiecki, The Wisdom of Crowds, Anchor, 2005.13. R Core Team, R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria, 2018.14. Q. McNemar, “Note on the sampling error of the difference between correlated proportions or percentages,” Psychometrika, 12(2), 153-157, 1947.15. H.B. Mann and D.R. Whitney, “On a Test of Whether one of Two
,” 2012.[4] Committee on Undergraduate Science Education National Research Council, “Transforming Undergraduate Education in Science, Mathematics, Engineering, and Technology.”[5] R. W. Lent, G. Hackett, and S. D. Brown, “A Social Cognitive View of School-to-Work Transition,” Career Dev. Q., vol. 47, no. 4, pp. 297–311, 1999.[6] M. McCartney, “On-ramp to greater STEM diversity ,” Science , vol. 352, no. 6286. pp. 669–670, 2016.[7] “A Framework for K-12 Science Education,” National Academies Press, Washington, D.C., Feb. 2012.[8] C. M. Vest, “The Image Problem for Engineering: An Overview,” Bridg. Link. Eng. Soc., vol. 41, no. 2, pp. 5–11, 2011.[9] “The Rockefeller University » RockEDU: Rockefeller
communication) IEEE Fellow, past IEEE NW region chair Topics: Career advice, career path, IEEE, and IEEE student branchWeek 3 Speaker: Todd Morton Professor and program director, EE program Topics: EE program overview and curriculum with Q/A sessionWeek 4 Speaker: Aaron Michelle (Area: analog and digital circuits) Alumni, Electrical Engineer, Wood Stone Corporation Topics: Career advice and projects completedWeek 5 Speaker: Kyle Williams (Area: Electronic display systems) Alumni, Engineer, Daktronics Inc. Topics: Career path, advice, and projects completedWeek 6