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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Lisa L Greenwood, Rochester Institute of Technology; Jennifer Schneider, Rochester Institute of Technology (CAST); Maureen S. Valentine PE, Rochester Institute of Technology (CAST)

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her doctorate from UMASS, MS from the University of Rochester, and her BA from Roberts Wesleyan College. She is responsible for leading the university wide effort to infuse applied critical thinking across the RIT student experience. In addition, she leads the RIT Collaboratory for Resiliency & Recovery, supporting the data to decision pipeline in emergency response and recovery, a local volunteer HAZMAT commander, and has been recognized for her work in situational awareness and decision-making.Prof. Maureen S. Valentine PE, Rochester Institute of Technology (CAST) Maureen Valentine, P.E., has been a faculty member at RIT for more than 25 years, serving as a teaching professor, Department Chair for the

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Vazgen Shekoyan, Queensborough Community College, CUNY; sunil Dehipawala, Queensborough Community College; Tak Cheung, CUNY Queensborough Community College

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time of flight, t = P + Q*sqrt(-1) for example, could have a physical interpretation.For an object being thrown upward inside a well of depth -120m under a gravity downwardpulling of 9.8 m/s/s, the equation 0 = v0*t + 0.5*9.8*t*t -120 would support a physical situation 2018 ASEE Mid-Atlantic Spring Conference, April 6-7, 2018 – University of the District of Columbiawith a modified depth of (-120 + 0.5*9.8*Q*Q) which carries P as the time of flight since thesqrt(-1) terms must cancel out. Kinematics learning requires a minimum memory capacity whencompared to other physics topics. The long term memory of putting the initial numerical valuesin their appropriate terms could be learned by analyzing each math term in a given equation. Theshort

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Dilnesa T Nukuro, University of the District of Columbia ; Paul Cotae, University of the District of Columbia

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failure will cause maximum degradation of network clustering. Further investigation willhave to be done for a 100 and 500 node network. Table for Notations N Number of vertices/nodes (N = |V |) M Number of edges/links (M = |E|) du The degree of u N (u) The set of neighbors of u T (u) The number of triangles containing u C (u), C (G) Clustering coefficients of u and G C˜v (u), C˜v (G) G Clustering coefficients of u and G after removing node v from G[S] The sub-graph

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Wangling Yu, Purdue University Northwest (Merged with Calumet)

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Pendulum System,” IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Vol. 3, pp. 1804–1809, 2009. 2018 ASEE Mid-Atlantic Spring Conference, April 6-7, 2018 – University of the District of Columbia2 K. Lai, Jin Xiao, Xiaoguang Hu, Jianxin Fan, Bing Wu, “Modeling and Control for Stability and Rotation Velocity of a Rotary Inverted Pendulum,” 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA), 2015, pp. 955–960.3 Y. Kim, S. H. Kim, and Y. K. Kwak, “Dynamic analysis of a nonholonomic two-wheeled inverted pendulum robot,” Journal of Intelligent and Robotic Systems: Theory and Applications, Vol. 44, No. 1, 2005, pp. 25– 46.4 S. Awtar, C. Bernard, N

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Christian Enmanuel Lopez, Pennsylvania State University, University Park; Conrad Tucker, Pennsylvania State University, University Park

, energy generation systems, consumer electronics, environment, and national security. c American Society for Engineering Education, 2018 Exploring Human-Co-Robot Interactions: Real-time Feedback or not? Christian E. López1, Conrad S. Tucker12 1. Department of Industrial and Manufacturing Engineering, 2.Department of Engineering Design The Pennsylvania State University, University Park, PA 16802Introduction Future State

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2018 ASEE Mid-Atlantic Section Spring Conference

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Yasser Salem, Cal Poly Pomona; Felipe J. Perez, California State Polytechnic University, Pomona

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Paper ID #243212018 ASEE Mid-Atlantic Section Spring Conference: Washington, District ofColumbia Apr 6Seismic Retrofit of Non-Ductile Reinforced Concrete Dual Frame Buildingusing Fiber Composite JacketingDr. Yasser Salem, Cal Poly Pomona Yasser S. Salem is Associate Chair of Civil Engineering Department at California State Polytechnic Uni- versity Pomona (CPP); He is the Director of Assessment at the College of Engineering. He successfully oversaw the merge of the construction engineering program to the civil engineering department. He is a program evaluator at Accreditation Board for Engineering (ABET). He is a member of the

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Yasser R Salem, University of the District of Columbia; Paul Cotae, University of the District of Columbia

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= 1, 2, 3,….,N, where N isthe parameter form calculated byN 2m 1. Finding N is required in order to compute theperiodogram and Fisher test. In addition, we take our deterministic random phase θ in the interval[-π,π]. The problem of detecting the periodical components in a time series (described in (2)) isequivalent to the problem of detecting peaks in a periodogram in2,9.We focus in detecting aperiodicity from (2) in frequency domain and the periodogram that is coordinated at Fourier in9.In spectral analysis, therefore, we take ∆t as sampling time, and we convert it in to frequency bycalculating Nyquist frequency f which is going to observe in frequency domain as double sideband with the interval S f , f from1-2 which can be defined

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

sunil Dehipawala, Queensborough Community College; Pubudu Samarasekara; Khushpreet Kaur

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show typical Mossbauer spectra of iron film prepared by spin coating and sol-gel method respectively. The Mossbauer spectrum of samples prepared by spin coating can befitted with two Lorenzian doublets. This indicates presence of two different forms of iron. Theisomer shift,0.53 m/s relative to iron foil spectrum, and quadrupole splitting, 0.8 mm/s, of line Bagree with octahedrally co-ordinated Fe3+. However, line A shows very little isomer shift, 0.04mm/s relative to iron foil spectrum, and quadrupole splitting of 1.3 mm/s. The isomer shift ofline A is compatible with Fe0 but presence of quadrupole splitting indicates non-symettricelectron density at the site of iron nuclei. But the intensity of line A is significantly lowcompared to line B

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Andrew Grossfield P. E., Vaughn College of Aeronautics & Technology

freedom. No. of variables V No. of equations E V – E = degrees of freedom.A point has no freedom. The intersection of 3 equations in 3 variables might consist of isolatedpoints. A curve has one degree of freedom. From any particular point one can move onlyforward or backward. The coordinates of the points on a space curve can all be described asfunctions of one variable, say t for time or s for distance from an origin. The parametric form ofa space curve is then; x = f(t) y = g(t) z = h(t) .The number of variables

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

sunil Dehipawala, Queensborough Community College; Vazgen Shekoyan; Tak Cheung, CUNY Queensborough Community College

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capacity can be maximized for the relatedmath manipulation. This paper focuses on the three remaining issues, namely, associativelearning from daily experience, critical thinking of a pertinent parameter, and causal reasoningwith a mechanism.Experiential learning has an important associative learning component. Using the trend on agraph to understand time of flight would clarify the mechanism other than a math procedure ofsolving a quadratic equation. Daily experience would show that an object would need moreinitial velocity v0 to reach ground when being thrown upward against gravity downward pulling(-9.8 m/s/s) at 120 meters below ground. The time of flight can be obtained directly whenapplying the quadratic equation formula to the kinematics

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Felipe J. Perez, California State Polytechnic University, Pomona; Yasser Salem, Cal Poly Pomona

American Society of Civil Engineers (ASCE), the American Concrete Institute (ACI), the Precast/Prestressed Concrete Institute (PCI), the Earthquake Engineering Research Institute (EERI), and was the Secretary of the Seismology Committee for the Struc- tural Engineers Association of Southern California. Dr. Perez is an expert in large-scale testing and analysis of unbonded post-tensioned precast concrete seismic systems. His research interests are in the seismic analysis and design of reinforced concrete, prestressed concrete, and steel structures. Dr. Perez is a registered Professional Engineer in the State of California.Dr. Yasser Salem, Cal Poly Pomona Yasser S. Salem is Associate Chair of Civil Engineering

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Christian Enmanuel Lopez, Pennsylvania State University, University Park; Conrad Tucker, Pennsylvania State University, University Park

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engineering education, energy generation systems, consumer electronics, environment, and national security. c American Society for Engineering Education, 2018 Towards Personalized Performance Feedback: Mining the Dynamics of Facial Keypoint Data in Engineering Lab Environments Christian E. López 1 and Dr. Conrad S. Tucker1,2 1 Department of Industrial and Manufacturing Engineering, the Pennsylvania State University. 2 School of Engineering Design, Technology and Professional Programs, the Pennsylvania State University.AbstractAccording to the National Academy of Engineering, the development of personalized learning isone of the grand engineering challenges of the 21st

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2018 ASEE Mid-Atlantic Section Spring Conference

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Paul Jason Weinberg, Oakland University

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= -0.38 logits; p = 0.003, one-tailed). Inaddition, participants had greater difficulty with class 3 levers (M = -0.03 logits) than class 1 levers (M = -0.41 logits; p = 0.08, one-tailed). Finally, those items composed of one or more intermediate link(s)between the input and output were more difficult (M = 0.43 logits) than those without intermediatelevers (M = -0.22 logits; p = 0.001, one-tailed). == Table 3 ==MNSQ. An item that has a mean-square statistic equal to 1 indicates perfect fit. In general, a valuebetween 0.75 and 1.33 indicates good fit. The mean-square statistic for all of the items is presented(Table 4). Wright and Linacre (1994) suggest that only one item (Sequential Tracing-D1’; MNSQ

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Jose M Reyes Alamo, CUNY - New York City College of Technology

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Figure 1: This is a caption for the first figure 2018 ASEE Mid-Atlantic Spring Conference, April 6-7, 2018 – University of the District of ColumbiaConclusions and Future WorkWe believe that online programming practice tools have a positive impact on student’s learning.We also believe based on our preliminary data that it helps them in their exam grades, as theyhave more opportunities to practice and get immediate feedback. Also they can easily review theproblems where they struggle and reinforce those skills. We plan to expand this work bystudying the effect in multiple sections of the course, as well as including data from otherprogramming courses.References1. Bergin, S. & Reilly, R. The influence of motivation and comfort-level on

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

sunil Dehipawala, Queensborough Community College; Vazgen Shekoyan; Raul Armendariz, Queensborough Community College; Kimberly Anne Riegel; Rex Taibu; Tak Cheung

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neutron flux data (from Neutron Monitoring Stations11) are shown in Figure 2 Neutron hourly flux (c/s) start 6 Sep 2017 3500 3300 3100 2900 2700 2500 0 50 100 150 200 Figure 2: The neutron 1-hr flux data (Counts/sec) with the same time duration of Figure 1. The Athens Centerneutron data (upper curve) was multiplied by 2 for easy display with the Newark Center neutron data (lower curve). 2018 ASEE Mid-Atlantic Spring Conference, April 6-7, 2018 – University of the District of ColumbiaThe Newark

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Timothy Matthew Murray, Wentworth Institute of Technology; Shankar Muthu Krishnan, Wentworth Institute of Technology

within six months of first use.15 Some improvements that couldaid in this venture are better data collection, and continued miniaturization. Currently there are some downfalls for wearables in their effectiveness in monitoringsignals due to their use in uncontrolled settings. One such example presented by Nicholas Lowreset al. is in noisy electrode reading due to motion artefacts in products like Kardia Mobile.7 Dirtyelectrodes, bad electrode placement, and outside electrical interference can worsen the ECGreading of a wearable. In addition, traditional silver chloride electrodes may cause skin irritationduring long-term monitoring and require skin preparation, seen in the SEEQ patch and Zio patch.Atte S. Joutsen et al present one

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Christopher Lawrence Norve, Wentworth Institute of Technology; Shankar Muthu Krishnan, Wentworth Institute of Technology

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fabrication and replacement. Heart valvesact as one-way valves for blood in the heart. As the heart contracts and relaxes, the heart valvesopen and close to ensure the correct flow of blood in the heart. Heart valves are extremelyimportant as they ensure the correct volume and pressure of blood is being released with eachcontraction of the heart.Heart valve disease occurs if one or more of the heart’s four valves: the tricuspid, pulmonary,mitral, and aortic valves do not work well, or function poorly.12 It is typically caused by heartconditions and disorders, age-related changes, rheumatic fever or infections.12 There are two maintypes of heart valve disease: regurgitation and stenosis.13 Regurgitation occurs when the valve(s) 2018 ASEE Mid

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Dugwon Seo, Queensborough Community College, City University of New York; Jeffrey L. Schwartz P.E., Queensborough Community College

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very different results.Trina’s efficiency started off as the best, but had a steep decline from 2015 to 2016. Sharp’sefficiency was never near the top but did not have that steep decline despite being the same typeof panel. Further investigation will be done into the loss of data for certain months as well as theeffect that cleaning has on the efficiency of our solar panels.5References 1 New York State Energy Research and Development Authority, NY-Sun Annual Performance Report through December 31, 2015, Final Report (March 2016), p. S-1 2 Kaya Laterman, “Is New York Ready for Solar Power?” The New York Times, The New York Times, 30 Sept. 2016, www.nytimes.com/2016/10/02/realestate/is-new-york-ready-for-solar

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

David Timothy Lee, George Washington University; Carl E. Wick Sr., George Washington University; Hernan Figueroa

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five person teams, whileECE typically had 5 or 6 three person teams. An overview of these courses is presented inTable-1. Initial Semester(s) Weeks Task Comments 1–4 Needs Assessment BME teams assigned projects BME and ECE teams create detailed requirements and specifications 4–7 Initial Designs Teams produce an overview design 8–10 Subsystems Defined Teams produce subsystem needs and specifications 10-14 Create Design Documents subsystem designs completed initial subsystem prototype Teams build part of a subsystem 15 Final Design Review

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Chen Xu, New York City College of Technology; Ohbong Kwon, New York City College of Technology; Juanita But, New York City College of Technology; Benito Mendoza, City University of New York; Janet Liou-Mark, New York City College of Technology, CUNY; Robert Ostrom

– University of the District of Columbia3. D. Gosser, and V. Roth, “The Workshop Chemistry Project: Peer-led Team Learning,” Journal of Chemical Education, 75 (2), 185 (1998)4. J. Liou-Mark, A. Dreyfuss, L. Younge, “The implementation of peer assisted learning workshops in precalculus: an approach to increasing student success”, Mathematics and Computer Education, 44(3), 249-259 (2010)5. J. Liou-Mark, A. Dreyfuss, S. Han, L. Yuen-Lau, K. Yu, “Aim for success: peer-led team learning supports first-year transition to college-level mathematics,” Journal of Learning Development in Higher Education, Special Edition: Academic Peer Learning, 1-24 (2015)6. S. Noh, V. Yan, R. Bjork, W. Maddox, “Optimal sequencing during category learning

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Peng Li, East Carolina University

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hands-on labs which require only a single virtual machine, container-based solutions, such asProxMox VE (OpenVZ) and Docker, should be considered. They are easy to set up and do notrequire much resources. These types of labs can also be hosted on a public cloud such as GCP orAWS. For hands-on labs using a complex virtual environment with multiple virtual machines, aprivate cloud may be a better choice. Private cloud and public cloud can be complementary and beused together to improve online learning experience.References 1 T. Ercan, "Effective use of cloud computing in educational institutions." Procedia-Social and Behavioral Sciences 2, no. 2 (2010): 938-942. 2 S. Marston, Z. Li, S. Bandyopadhyay, J. Zhang, and A

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Vasudeva Rao Aravind, Clarion University; Marcella Kay McConnell, Clarion University of Pennsylvania

. M., Thompson, J. R. & Wittmann, M. C. Students consistency of graphical vector addition method on 2-D vector addition tasks. in AIP Conference Proceedings 1179, 161–164 (2009).6. Yang, X.-S. in Engineering Mathematics with Examples and Applications 79–86 (2017). doi:10.1016/B978- 0-12-809730-4.00011-27. Freidberg, J. P. Plasma physics and fusion energy. Cambridge University Press 1, (2007).8. Barnacle, R. Retention and Student Success in Higher Education. Quality Assurance in Education 13, (2005).9. Chen, X. STEM Attrition: College Students’ Paths Into and Out of STEM Fields. Natl. Cent. Educ. Stat. 102 (2013). doi:http://nces.ed.gov/pubs2014/2014001rev.pdf10. Aleven, V. A. W. M. M

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Jeffrey L. Schwartz P.E., Queensborough Community College

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“Parallel Triples.” As a professor who gives lectures and creates laboratory assignments inelectronics fundamentals, I will now be able to use this research to create “unmessy” parallelresistor examples with standard values that, unlike the formula 6Ω || 3Ω = 2Ω , will not cause mystudents to assume that the parallel resistance formula can simply be replaced with division.References1 Evelyn B. Christensen, “Pythagorean Triples Served for Supper,” Mathematics Teaching in the Middle School, National Council of Teachers of Mathematics, Sept. 1997, vol. 3, no. 1, pp. 60-62.2 Tony Atherton, “A History of Ohm’s Law,” Electronics and Power, June 1986, vol. 32, no. 6, pp. 467-471.3 Aziz S. Inan, “What did Gustav Robert Kirchhoff

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Paul Cotae, University of the District of Columbia; Luis P. Aguinaga, University of the Distric of Columbia

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kite. We can observe also that there is not a unique rank. The rank is mostly base on the nature of the problem, the same network can have different centers base on different parameters. Another interesting thing is the fact that for different centralities the network can be represented by a vector, matrix or tensor this is mostly because a particular characteristic of the network can be a function of the node, the links or the relationship between the node and the links. Acknowledgment This research was funded by the Army Research Office (ARO) - Department of Defense (DOD)–Award No. W911NF-15-1-0481. References1. Moskowitz, Ira S. et al. “Network topology and mean infection times.” Social Network Analysis

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Rajarajan Subramanian, Pennsylvania State University, Harrisburg, The Capital College

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Intervention, Journal of Youth Development, Volume 12, Issue 2, 2017.12 J. Osborne, and J. Dilon. Science education in Europe: Critical reflections. London: Nuffield Foundation, 2008. 2018 ASEE Mid-Atlantic Spring Conference, April 6-7, 2018 – University of the District of Columbia13 Elam, M. E., Donham, B. L., & Soloman, S. R. An engineering summer program for underrepresented students from rural school districts. Journal of STEM Education: Innovations and Research, 13(2), 2012, pp. 35–44.14. Kristin Lesseig, David Slavit, Tamara Holmlund Nelson, and Ryan August Seidel, Supporting Middle School Teachers’ Implementation of STEM Design Challenges, Journal of School Science &

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2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Baha Bachnak, The Pennsylvania State University; Nashwa Elaraby, Pennsylvania State University, Harrisburg, The Capital College

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. 7References[1] B. Carroll, S. Gieser, and D. Levine, “A hierarchical project-based introduction to digital logic design course,” presented at the 121st ASEE Annual Conference and Exposition: 360 Degrees of Engineering Education, Indianapolis, IN, United states, 2014.[2] K. Yelamarthi and E. Drake, “A Flipped First-Year Digital Circuits Course for Engineering and Technology Students,” IEEE Transactions on Education, vol. 58, no. 3, pp. 179–186, Aug. 2015.[3] J. Pang, “Active Learning in the Introduction to Digital Logic Design Laboratory Course,” p. 10, 2015.[4] D. Bañeres, R. Clarisó, J. Jorba, and M. Serra, “Experiences in Digital Circuit Design Courses: A Self-Study Platform for Learning Support,” IEEE Transactions on Learning