large sample size for engineering disciplines.4.2 Data collection instrumentAs part of the data collection, in addition to providing demographic data, students were askedspecific questions pertaining to their future academic aspirations and their preferences towardsdigital/tactile learning. We present the specific questions in Table 3 for EDSGN 100 and Table 4for IE 466.Table 3: EDSGN 100 Survey Questions Pertaining to Virtual/Tactile Preferences Q# Introduction to Engineering Design (EDSGN 100) 1 My knowledge about the environmental impact of a product. 2 I find it useful to be able to virtually manipulate products (using tools like Solid Works/CAD, HTML/Google
3.26 i Technology in the classroom 3.24 j Engaging in service & outreach activities 3.13 k Reviewing scientific publications 3.11 l Developing teaching portfolios 3.11 m Developing collaborations & managing teams 3.07 n Finding non-research related opportunities (industry, policy, etc.) 3.07 o Managing diversity in the classroom 3.02 p Starting a research lab/lab management 2.80 q Work-life
special cases.As a case in point, the Fundamentals of Engineering Supplied-Reference Handbook includes 6first law equations for closed systems and 11 for control-volume systems. This often leads toconfusion and detracts from the students’ appreciation for the fundamental nature of the principle.The authors have typically modeled problem solutions using only two first law equations: one forclosed systems and one for control volumes. The form of the first law used for control volumes isprovided below. dEcv /dt = Q˙ cv − W ˙ cv + Σm ˙ i (hi + Vi2 /2 + gzi ) − Σm ˙ e (he + Ve2 /2 + gze ) (1)The left term
. Zhao, Q., Biederman, S., Flemings, M., “The Effects of Coating on the Heat Transfer in Lost Foam Aluminum Process,” AFS Transactions, vol 114 (2006).15. Zhao, Q., Wang, H., Biederman, S., Jason, D., Parish, J.S., “Lost Foam Casting Coating Characterization: Heat and Mass Transfer,” AFS Transactions, vol 113 (2005).16. http://www.finitesolutions.com/ Page 24.355.13
electrical power systems are treated. The two methods of three-phase power systemrepresentation – wye connection and delta connections are presented. The concept of powertriangle is introduced and the inter-relationship between real, reactive and apparent power asillustrated in equation 1 and figure 1 is discussed. 𝑆𝑆 = 𝑃𝑃 + 𝑗𝑗𝑗𝑗 (1)whereS = Apparent Power (VA)P = Real Power (W)Q = Reactive Power (VAr)θ = Phase angle between the line current and the line voltage Page 24.388.4
instructed to calculate the system average hydraulic detention time using experimentallydetermined/measured values for the reactor liquid volume, V, and the volumetric flow rate, Q,passing through the system. Parameters V and Q would necessarily be expressed in consistentand compatible units. Differences between the two calculated average detention time valuescould then be used as the focal point for an error analysis.The same basic sensor and overflow system can be used to examine other, more complexexperimental systems with the possible intent of comparing actual and theoretical system tracerresponses, determining the system dispersion number, or estimating the extent of dead volumepresent in a system. The continuous flow system consisting of four
, and other tutoringsystems,” Educat. Psychologist 46, 197 (2011).2 C. D. Whitlatch, Q. Wang, and B. J. Skromme, “Automated problem and solution generation software forcomputer-aided instruction in elementary linear circuit analysis,” in Proceedings of the 2012 American Society forEngineering Education Annual Conference & Exposition (Amer. Soc. Engrg. Educat., Washington, D.C., 2012),Session M356.3 B. J. Skromme, C. D. Whitlatch, Q. Wang, P. M. Rayes, A. Barrus, J. M. Quick, R. K. Atkinson, and T. Frank,“Teaching linear circuit analysis techniques with computers,” in Proceedings of the 2013 American Society forEngineering Education Annual Conference & Exposition (Amer. Soc. Engrg. Educat., Washington, D.C., 2013),paper 7940.4 B. J
Journal of Electronics and Communication Engineering, vol. 3, no. 1, Jan. 2013, pp. 36-38.5. Nielsen, M.L., Lenhert, D.H., Mizunol, M., Singh, G., Staver, J., Zhang, N., Kramer, K., Rust, W.J., Stoll, Q., and Uddinl, M.S., “Encouraging interest in engineering through embedded system design”, ASEE Annual Conference & Exposition, 2004.6. K. Ma, M. Yang and K. Qian, “Contradistinction and relevant learning for transform processing with smartphones in engineering education”, Proc. IEEE 13th International Conference on Advanced Learning Technologies, Beijing, China, July 2013.7. L. Hong, K. Qian and C. Hung, “Multi-faceted penetration of fast Fourier transform by interactively analyzing real-world objects via mobile technology,” ASEE
Collaborations," Journal of Engineering Education, pp. 123-134, 2008.[5] L. R. Lattuca, L. J. Voigt and K. Q. Fath, "Does Interdisciplinarity Promote Learning? Theoretical Support and Researchable Questions," The Review of Higher Education, vol. 28, no. 1, pp. 23-48, Fall 2004. Page 24.8.10
SessionGroups, labeled as group 1, group 2 and group 3. These Interactive Learning Session Groupswere supervised by different instructors. The data obtained for each question was analyzed usinga basic excel spread sheet. The following survey questions (Q) were analyzed for this report. Q1: Rate how much the Pre-Chapter questions/tutorials help to learn the engineering physics concepts in advance, before the lecture (5-high to 1-low)? Q2: Rate how much the hints given in the Pre-Chapter questions/tutorials were useful to understand and solve the engineering physics problems (5-high to 1-low)? Q3: Rate the number of Pre-Chapter questions/tutorials (five tutorials per chapter) from sufficient (5) to not enough (1
, J.R., Crittenden, J.C., Small, D.R., Hokanson, D.R., Zhang, Q., Chen, H., Sortby, S.A., James, V.U., Sutherland, J.W., and Schnoor, J.L. 2003. Sustainability Science and Engineering: The Emergence of a New Metadiscipline, Environmental Science and Technology, 37, 5314-5324.4. Young, T., Powers, S., Collins, A., and Ackerman, N. 1996. A Unified Elective Concentration in Environmental Engineering. Proceedings of the 1996 American Society for Engineering Education Annual Conference & Exhibition, Washington, D.C, June 23-26.5. Newberry, B. and Farison, J. 2003. A Look at the Past and Present of General Engineering and Engineering Science Programs. Journal of Engineering Education, 92(3), 217-224.6. Woolschlager, J
account allows student engineers andtechnologists to make better selections of the best designs in terms of performance,cost, and return on investment for new product situations in their future careers.14-15References1. Smith Kevin B. and Larimer, Christopher W. (2009). The Public Policy Theory Primer. Philadelphia: Westview Press.2. Halimahtun, M. K. (2006). Embracing diversity in user needs for affective design. Applied Ergonomics, 37(4), 409-418. http://dx.doi.org/10.1016/ j.apergo.2006.04.0053. Mihelcic, J. R., Crittenden, J. C., Small, M. J., Shonnard, D. R., Zhang, Q., Chen, H., . . . Schnoor, J. L. (2003). Sustainability science and engineering: the emergence of a new metadiscipline. Environ. Sci Technol., 37(23), 5314
: O’Reilly Page 24.30.11 Media.3. A. Sathi (2013). Big Data Analytics: Disruptive technologies for changing the game. Boise, ID: MCPress Online, LLC.4. V. Granville (2014). Developing analytic talent: Becoming a data scientist. New York, NY: John Wiley & Sons.5. “Stanford University Explore Courses.” [Online]. Available: http://explorecourses.stanford.edu/search?view=catalog&filter-coursestatus- Active=on&page=0&catalog=&academicYear=&q=OIT+367&collapse=. [Accessed: 09-Aug-2013]6. “CS9223 - Massive Data Analysis.” [Online]. Available: http://vgc.poly.edu/~juliana
many random, turbulent eddies. These random fluctuations willdisperse the pollutant away from the plume centerline, resulting in a normal or Gaussiandistribution of concentrations in both the vertical (z) and crosswind (y) directions. Assuming aconstant wind in the x direction, a non-reacting pollutant, and total reflection from the ground,the concentration of pollutants downwind at any point x, y, and z can be predicted with thefollowing equation:4 Q y2 z H 2 z H 2 C exp exp exp 2u y z 2 2 2 z2 2 z2
’. Students were asked to demonstrate this knowledge by asking themto transform the graphs given different criteria, such as a change in volume, which is associatedwith amplitude, or a change in pitch, which is related to frequency.RSA Algorithm ActivityIn this activity, one of the most commonly used algorithms for encryption was presented to thestudents. The RSA algorithm uses large prime numbers to encrypt information and is based onthe idea that it is difficult to factor a large number into two prime numbers. Students were firstshown a presentation where they were guided through an example of encrypting informationusing the algorithm. The steps involved in this are shown below and more details can be foundonline4.1. Find two prime numbers p and q
surface and advect heat away from the point of contact by its motion.Newton’s Law of Cooling provides a simple expression for this rate of convective heat transfer. Q = hA (Ts – Tf) (1)Where Q is the rate of heat convected in watts; Ts is the temperature of the solid in C°; Tf if thetemperature of the fluid in C°; A is the area of the surface in contact with the fluid in square meters;and h is the convective heat transfer coefficient in watts/ square meter-C°.Many factors affect convective heat transfer such as its geometry, type of flow, boundary conditions,type of fluid used and its properties. In this experiment, forced convection occurs when fluid flow,induced
................................................................................................ 2where q is the amount of heat that flowed m is the mass of the substance C is the specific heat capacity of the substance ΔT is the change in temperature of the substanceApparatus: Calorimeter, heater, digital scale, thermometerMaterial: Water, metal samples (with known specific heat capacities).Procedure: 1. The mass of the empty calorimeter is measured and recorded. 2. The calorimeter is filled about half way with water. 3. The mass of the half-filled calorimeter is measured and recorded. 4. The mass of the water in the calorimeter is now calculated. 5. The temperature of the water in the calorimeter is measured. 6. A metal sample is selected from the available samples 7. The mass of the
: course design and implementation . (2012) Global Journal for Engineering Education vol. 14, issue 116. Malik, Q., Mishra, P., Shanblatt, M. (2008) Identifying Learning Barriers for Non-major Engineering Students in Electrical Engineering Courses. Proceedings of the 2008 ASEE North Central Section Conference17. Malik, Q., Mishra, P., Shanblatt, M. (2010) Learning Barriers in service courses – A mixed-method study. 117th ASEE Annual Conference and Exposition,Louisville, KY, Jun 2010. Paper AC 2010-242818. Northrup, S. G. Innovative Lab Experiences for Introductory Electrical Engineering Students (2009). Paper M4H-1 presented at the 39th ASEE/IEEE Frontiers in Education Conference, San Antonio, TX19. Fiesel, L. D
student will post the URL link in to the course home-page (Wibliography)and talk to the topic for 5 minutes followed by a brief Q&A session. The activity has a certaingrade allocation associated with it for class participation. Each student will identify the source andevent (or news), location, how it is tied to the current course and its importance. The student willalso discuss quantification as applicable to the subject matter being taught. Students are alsoexpected to interpret the news or event as they see it and give their opinion (positive or negative).As noted, this is an exercise in critical thinking and data synthesis (students can discuss otherrelated events). The instructor publishes a schedule for all students. The News of the
G o o d n e s s o f F it : R - S q u a r e d = 0 . 8 3 , S S E = 7 . 6 0 5Figure 9: Typical open loop unsteady-state duplet test for height; first order plus dead timemodel used. Note that the response and model fit data appear in the upper portion of the plot,while the set point appears in the lower portion of the plot. Lo o p -P ro : D e s ig n T o o ls M o d e l: F ir s t O r d e r P lu s D e a d T im e ( F O P D T ) F ile N a m e : T e m p 3 _ L o o p _ P r o . t x t 37.8 P rocess V ariable
0.85 0.83 0.86 0.89 0.0317 0.46 0.46 0.51 0.46 0.45 0.44 0.45 0.47 0.51 0.56 0.47 0.36 0.48 0.5 0.47 0.0518 0.26 0.32 0.42 0.31 0.27 0.25 0.24 0.25 0.3 0.32 0.27 0.26 0.31 0.24 0.29 0.0519 0.27 0.23 0.24 0.3 0.28 0.28 0.22 0.22 0.33 0.25 0.26 0.23 0.3 0.36 0.27 0.0420 0.26 0.28 0.29 0.23 0.3 0.19 0.15 0.3 0.31 0.21 0.26 0.3 0.19 0.27 0.25 0.05Table 3 - ENGINEERING ASSESSMENT Question Response Distribution Q 2013 2012 2011 2010 2009 2008 2007 AVE STDV 1 0.61 0.65 0.63 0.73 0.66 0.73 0.66 0.67 0.05 2 0.30 0.32 0.30 0.27 0.28 0.27 0.24 0.28 0.03 3 0.61 0.63 0.71 0.55 0.57 0.62 0.63 0.62 0.05 4
midterm test scores of students from Instructor B who used the hands-onapproach (only) with test scores of students (from Instructor A) who used simulation method(only). The criterion for statistical significance was set to alpha = .05. Two low score outlierswere identified in the midterm scores of the simulation group for Instructor A and these outlierswere changed to the nearest higher value within the group, (Outliers were not changed to themean scores to retain the scoring pattern of the students in the group assuming from the scoringpattern that the students were low scorers.) Examination of histograms, Q-Q plots, andKolmogorov-Smirnov test statistics indicated that the assumption of normality was met.Levene’s test indicated that the
obtained values of and n .b) Find the state-space formulation of the third order system and evaluate the stability of the system. Justify the same for the second order system as obtained in part (i).c) For the third order system mentioned above, determine the optimal control law that minimizes the performance index, J as follows: J ( xT Qx T R )dt with respect to some suitable choices of the matrices Q and R. Page 24.709.7 0Problem 3[Problem 15.2 REF. [4] Engineering Computations and Modeling in Simulink by Yakimenko] Fig. 2 SKETCH OF DYNAMICAL SYSTEM for PROBLEM 3d
gc 2 gc 2Establish SP1 on the upstream surface of the water and SP2 on the downstream surface. There isno heat added between the SPs, therefore Q 12 0 . The temperature of the water does notchange appreciably, so the internal energy (u) does not change, nor does the specific volume ofthe water (v). The pressure on both free surfaces is atmospheric pressure. Therefore the changein u (u) and flow work (pv) each cancel. Establish the reference elevation at the downstreamsurface (SP2). Therefore z2 = 0. There is a downstream velocity. Convert the 10 mph to 14.67ft/sec. Eliminating terms that either cancel or are negligible results in the following: gz V2 2
commercially developed high school mathematics curriculum forintense college mathematics coursework. Journal of Experimental Education, 80(1), 2012, pp.96-112.[3] Varsavksy, C. Chances of success in and engagement with mathematics for students whoenter university with a weak mathematics background. International Journal of MathematicalEducation in Science & Technology, 41(8), 2010, pp. 1037-1049.[4] National Center for Education Statistics (NCES). The condition of education 2004. Education Statistics Quarterly, 6(1/2). Washington, DC, 2004: Retrieved from http://nces.ed.gov/programs/quarterly/vol_6/1_2/7_1.asp[5] Aung, K., Underdown, R. Qian, Q. “K-12 Engineering Education:Priorities, Research.Themes, and Challenges,” Proceedings of theAmerican
" Activity Subject Q: "How can this activity apply to your class?" General Balancing lessons, covering appropriate amounts of information Counselor Stress release, Form of escape Fashion Keeping a balance in style, color scheme Language Grammar Lessons, keep a sentence balanced (e.g. make sure you have a subject and verb) Economics Analyze economical concepts, trade, pay scale Nursing Effects of medicine based on height, weight, etc. (finding the right combination of meds) Bartending Mixing drinks to keep the right balance of flavor.While not necessarily a STEM application in each subject, the teachers were able to
11Fig. 4. Theoretical half-wavelength dipole antenna radiation pattern.proposed system might be a viable low-budget option for similar courses in EE and EET programsin other institutions to meet their instructional needs. R EFERENCES[1] D. G. Fang, Antenna Theory and Microstrip Antennas, CRC, 2009.[2] D. Geen and D. Smith, “Enhanced teaching of antenna theory and measurement techniques using a low cost anechoic measuring system,” in Proc. of the 25th European Microwave Conference, Bologna, Italy, September 4 1995, vol. 2.[3] H. Xie, Y. Liang, and Q. Wang, A laboratory measurement method of antenna radiation pattern, Springer, 2012.[4] V. Bhavsar, N. Blas, H. Nguyen, and A. Balandin
problems, heat transfer is either a given input or is a dependentvariable where the conservation rvation of energy is used to solve for this elusive quantity. In thissection, a basic understanding of heat exchangers (see Figure 3) is presented. A triangle is usedto represent one-side side of a heat exchanger. The hypotenuse of the triangle represents the heattransfer surface area while the sides allow for the entering and exiting of the heat transfer fluid. TL Q THFigure 3.. Schematic of a Heat ExchangerAssuming the students have already been exposed to the three modes of heat transfer and theircorresponding
battery is calculated as: ܳ ܱܵ= ܥ + ܱܵܥ (9) ܥ௧where Q is the amount of charge that has entered the battery, ܥ௧ is the capacity of the battery(1.4Ah) and SOC0 is the previous state of charge. The amount of charge that has entered thebattery is: ܳ = න ݅௧ ݀ݐ (10)where ݅௧ is the current flowing in or out of the battery, which is measured using a bidirectionalcurrent sensor (ACS711EX -15.5A to +15.5A). After SOC has been calculated, it is stored asSOC0 for the next time step. Note that SOC0