probabilistically-flawed,potentially dangerous criteria [1]. These criteria have been in-use since at least the 1960’s [2],but their limitations were only formally recognized recently. While prior work has thoroughlyarticulated the technical issues in these flawed design criteria [1], [3], the present work aims tosupport formal study of how engineers recognize and treat variability, with an eye towardsunderstanding how the aforementioned flaws evaded notice for over a half-century.In this work, we present a novel theoretical framework and initial empirical results. We use theproposed cause-source framework to analyze aircraft design flaws and to design an interviewprotocol. Through interviews with engineering students, we find initial evidence of an
undergraduate degrees compared to the EU’s 1 milliondegrees and China’s 1.7 million degrees in 2016 (NSB, 2020). By 2025, the U.S. is projected tobe short 2 million STEM workers (National Science Foundation, 2018). A better understandingof the barriers that result in students disconnecting or dropping out of STEM fields is essentialfor increasing engagement and retention of STEM undergraduate students.There is a growing demand for skilled STEM workers in both the United States and around theworld. However, despite this growing need for a skilled STEM workforce, there is a highattrition rate among STEM undergraduate students, with 48% of students leaving their STEMfields (Chen, 2013). Leaving a STEM field may involve either changing to a non-STEM
soil mechanics course. The author estimates that when adoptedat the New York City College of Technology, the entire cost of publication of the textbook will berecovered through student savings within three semesters, by conservative estimates. 1. Background and ContextThe lack of affordable and accessible education is one of the major obstacles inhibiting upwardsocial mobility of New Yorkers from low to middle socioeconomic classes. Students from lowerincome, underrepresented and first-generation college households in an urban setting, areparticularly affected by the rise of higher education costs, which further marginalizes themembers of these communities. With a limited amount of family discretionary funds, students1 Assistant
fully FDA/cGMP/ISO regulated environ- ment, working for Fortune 500 companies such as Bayer HealthCare now Siemens Healthineers where he was instrumental in realizing systems such as the Immuno-1, Opera, and Advia product family, receiving technical achievement awards for his innovative solutions on these product lines. Mr. Migniuolo operates as a recognized expert industry consultant helping start-ups, and established bio-fluidic companies aug- ment their system designs, with emphasis on innovation, reliability, cost control, system forensics and full design services as executive director.Mr. Bernard Hunter >> Bernard Hunter is the general lab manager of QCC 3D Printing Laboratories, responsible for
. Studying the Arm Pelion will help to understand howIoT devices operate under the hood.This past summer, Morgan State University has hosted undergraduate engineering students anda high school STEM teacher to conduct IoT security research in the Cybersecurity Assurance &Policy (CAP) Center. The research project involved integrating various hardware sensor devicesand real-time data monitoring using the Arm Pelion IoT development platform. Some of thestudent/teacher outcomes from the project include: 1) Learning about IoT Technology andsecurity; 2) Programming an embedded system using Arm Mbed development board and IDE;3) Developing a network of connected IoT devices using different protocols such as LWM2M,MQTT, CoAP; 4) Investigating the
in healthcare and medicine, where large amounts of medical records and dailycollected data are outlets for algorithms to prove themselves effective and have accuratepredictions [1]. There are several different subtypes of machine learning: supervised, semi-supervised, unsupervised, and reinforcement, to name a common few. Supervised learning utilizeslabeled datasets to train algorithms and then classify the data or predict target data. Some examplesof algorithms associated with supervised learning include Support Vector Machine (SVM), NaïveBayes, K-Nearest Neighbor (KNN), Random Forest, and Decision Tree. In healthcare, machinelearning provides for several innovations that enhance present treatments and diagnosis. Currently,focus is on
society. Astandard of behavior then allows for a foundation of trust that ensures the public’s best interest isalways paramount. Within engineering this is critical since the work of engineers can affectpublic health and safety, business practices, and politics [3]. The National Society ofProfessional Engineers (NSPE) relies on the “Code of Ethics for Engineers” which statesEngineers, in the fulfillment of their professional duties, shall: 1. Hold paramount the safety, health, and welfare of the public. 2. Perform services only in areas of their competence. 3. Issue public statements only in an objective and truthful manner. 4. Act for each employer or client as faithful agents or trustees. 5. Avoid deceptive acts
extremes analysis, statistical methods, water sustainability and risk assessment and water systems analysis. American c Society for Engineering Education, 2021 Design of novel courses to bridge knowledge gaps in engineering and reduce attrition and graduation delaysIntroductionNationally and internationally, engineering programs experience more attrition and longer timesto graduate than other majors. Yorke and Longeden [1] document this from a public policystandpoint at various universities in the United States, United Kingdom, Australia, and SouthAfrica. Long et al. [2] and [3] opine that the main reasons for student attrition include: Poor
mostimportant benefits of proper academic advising is that they can proceed through their degreeprogram efficiently. Academic advising ensures students are taking the proper courses in thecorrect order and in the correct semester. This prevents them from taking extra courses that willnot count for credit towards their degree program, as well as avoiding wasted time waiting for acourse to be offered in a later semester because it was missed. According to Forbes [1], in theUnited States of America, the average bachelor’s degree graduate has almost $38,000 in studentloans. Proper academic advising can help to save students time and money by ensuring thecourses they take are the necessary courses and unnecessary extra courses are avoided. This alsohelps
disciplineshave shown that it is possible for remote instruction to satisfy the required learning outcomes,while sustaining academic integrity [1]. Many issues affect how to realistically and efficientlyengage students while teaching remotely. This paper will look at some of these remote learningchallenges encountered at Engineering Technology program at Queensborough CommunityCollege [QCC] of the City University of New York [CUNY]. Presented here some of thetechniques and strategies employed to overcome the difficulties of remote learning at a minorityserving institution. Some of the challenges included how to engage learners with limited orinconsistent internet access, the strategies and decisions in using synchronous versusasynchronous delivery
it is difficult for them to relatetheir math problems to RL problems [1], [2], [3]. It is not a surprise that students often believethat math is boring, difficult, and useless, which indicates why students lose interest in thesecourses, leading to underachievement [4]. An important reason why students lose interest isbecause they do not see a connection between what they learn with real science and engineeringproblems [5]. Traditional word problems without real-world context are lacking in assigning asignificant role to the problem and in developing meaning for mathematics [6], [7]. In addition,students often approach math courses with fear and anxiety [2], [3]. For instance, students whoreported higher levels of math anxiety correlated to
0.0046). Potential explanations for online format getting betterevaluation results are: 1) the recorded videos, provided notes, and Zoom office hours offeredstudents flexibility in the pandemic lockdown; 2) the modeling and simulation assignmentsprovided certain compensation for their practical experience in designing controllers; and 3)additional resources were provided to help students master the skills.IntroductionSince its outbreak, COVID-19 has caused more than 2.6 million deaths and infected more than117 million people in the world by March 8, 2021. Due to COVID-19, schools in 150 countrieswere closed by March 25, 2020, and more school were closed afterwards [1]. Most schoolsswitched to pure on-line format in Spring 2020. Since this switch
the semester, equipment limitationsunfortunately made this unavoidable at times, but this was minimized as much as possible in theplanning and structure of in-person lab work.I implemented a rotational schedule (Figure 1) that allowed strategic placement of in-personactivities (“in lab” or “in classroom”), that would take place in the limited laboratory space, inconjunction with supplemental activities that could be conducted independently and/orasynchronously by students virtually (“virtual”) or in the field (“in field”). Lab Group A Lab Group B Lab Group C Week 1 NO LABS THIS WEEK
Engineering Technology at New York City College of Technology. Her primary area of interest includes engineering education, formal methods for modeling real-time systems, digital design, FPGA hardware-based sys- tems, Agile testing, Machine Learning algorithms, and the applications of neural networks. American c Society for Engineering Education, 2021 Fall 2021 Middle Atlantic Conference November 12-13, 2021Implementation of Pseudo-Random Number Generator Using LFSR Fahmeda Khanom & Touheda Khanom Yu Wang New York City College of Technology 1
part of an ongoing study. Although these are preliminary findings, suchpedagogical technique has the potential to enhance the student learning experience and developmindset to continue their life-long learning in their professional careers.IntroductionEngineering education has been an evolving process over time to meet the expectations andneeds of multiple stakeholders including government, industry, and community [1]. This processhas led to incorporation of project-based learning into engineering education, which has beenfound to be one of most impactful modes to develop and apply skills to help transform studentsinto independent and proficient engineers [2, 3]. Therefore, most engineering educators seekexperiential learning techniques to
that arrived in south Asia from the West at the advent of the modern college level education has more or less remained even today.The Sir J.J School of Architecture (originally called the Government College of Art) in Bombay wasthe first modern school to introduce a structured course in architecture. In its initial years the onearchitectural event to capture the imagination of the profession was the building of the Capital city ofNew Delhi by Lutyens. Many of the faculty, such as Claude Batley, while intellectually sympatheticto the need for an Indian identity, were, at the same time like Lutyens, grounded in the nineteenthcentury European Beaux Arts tradition [1].The nineteenth century academic tradition had a technical bias in addition to
experiments on campus, six experiments that involved analysis andsoftware simulation, and a final project with an oral presentation. Some final projects includedhardware and software while others were limited to circuit design and software simulation. Thispaper briefly describes six remotely performed exercises that used Multisim to perform circuitanalysis and simulation and help students learn the course material. While there were severalchallenges, overall students were able to perform the experiments and successfully complete afinal project.IntroductionA report by the United Nations estimated that closures of schools and other learning spaces dueto the COVID-19 pandemic impacted 94% of the world’s student population in 2020 [1]. Thisincluded a
participants to acclimate to their research projects before the programstart.Throughout this work, participants were able to gain or further develop skills in some of thefollowing areas: Ethical Hacking, Data Science, Intrusion Detection Systems, Linux, MachineLearning, Networking, and Python, as well as interact with a designated smart device and testingenvironment. In the first summer, participants were assigned a smart glucose meter and taskedwith 1) exploiting the potential threats associated with installing smart devices onto unsecurednetwork configurations via address resolution protocol (ARP) poisoning, and 2) exploring socialengineering tactics through cloning the device user application. Additionally, in the followingsummer, participants
work was conducted as a research project during the 2021 STEM Research Academy Summer Internship sponsored by CUNY-New York City College of Technology. 1 Fall 2021 Middle Atlantic Conference November 12-13, 2021Introduction/Background Information Robotic manipulators have been widely used in the industry performing repetitive tasks. Our work investigated the inverse engineering of the C12XL robot. The performed analyses and derivations help for the design of other robotic manipulators of similar kind.Usage of DH convention to assign frames and
education in our community that increased theefficacy of communication with its ESL (English as a second language) stakeholders.Our community partner, The Children’s Center (TCC) is a small, nonprofit organization of earlychildhood education and affordable quality childcare for working families in our community [1].TCC is in Hilton Head Island, an affluent area that attracts many wealthy tourists. Thecommunity possesses a vast divide in wealth, as many members of the community work in lowpaying service, sales, and clerical professions [2]and many are in the opposite end of the wealthdivide. Consequently, many community members are unable to afford the traditionally high costof early childhood education and childcare – it is these community members
Combined REU/RET Program for Exclusive Remote Participation Due to the COVID-19 PandemicAbstract:The Smart City Research Experience for Undergraduates (REU) and Research Experience forTeachers (RET) (SCR2) Mega-Site program, which is supported by the National ScienceFoundation (NSF) (#1849454), was formed in 2018 to address the low participation and graduationrates of post-secondary students belonging to underrepresented minority groups in the engineeringfield. The participating schools in the program are all minority serving and members of aconsortium consisting of 14 Historically Black Colleges and Universities (HBCUs) and 1 HispanicServing Institution (HSI), where Morgan State University (MSU) serves as the lead institution.The program
special separated points, the values of the functions and theirderivatives can be computed and plotted. We can call the points with known values and tangentlines “normal” points. This expository paper is intended to provide a view of the exceptionscalled singularities, listed below, that a beginning student can grasp. The exceptional pointsinclude: • Infinite jumps resulting from division by zero. See figures 1, 2, 3 and 4. • Point gaps resulting when the numerators and denominators have common zeroes. • Excluded intervals resulting from even roots of negative numbers. Modern texts would describe excluded intervals as being outside the domain of the function. See figures 15 and 16. • Finite jumps resulting from
suggestions for futurework.The McMillan WTP is a rich source of material exposing undergraduate engineering students toevolution of an engineering system to satisfy complex and at times conflicting societal goals.Technical content, such as using water quality measures to indicate the physical, chemical, andbiological characteristics of the water suitable for drinking, is introduced in lecture format.Washington, DC has historically been plagued by poor drinking water quality. From its foundingthe city relied on wells, springs, and cisterns for drinking water [1]. Union troops stationed inWashington during the Civil War suffered from waterborne diseases. Abraham Lincoln’s son,Willie, died at age 11 of typhoid fever [2]. By the mid-nineteenth century
), acceptable (level2), and unacceptable (level 1), as shown in Figure 1. Assessment Rubric For Student Outcome ABET/ETAC 2019-2020 (PC-A): Application of computer-aided drafting or design tools to prepare graphical representations of electromechanical systems Performance Indicator Excellent Good Acceptable Unacceptable 4 3 2 1 Construct a schematic Construct a detailed Construct a schematic of Construct a partial Cannot construct a drawing of an electrical schematic of an electrical an electrical circuit schematic of an
scope.IntroductionSTEM education literature often mentions students’ experiential learning experiences in collegesettings and their roles in curricular interventions. In particular, student innovation competitionshave long been an essential part of STEM education [1]. Research suggested that studentcompetitions provide many benefits and experiences, such as experiencing teamwork, peerinteractions and leadership, gaining self-efficacy and enthusiasm, building a growth mindset,working on real-world applications, accessing informal mentorship, and connecting withemployers [2], [3], [4]. It is crucial to practice some skills, such as leadership within a technicaldomain, and participation on an engineering competition team is a popular activity in this regard[5
a new contribution in your field.The University does not have a graduate program in engineering. The motivation for moving to agraduate research group model for the class was to give the students a microcosm of graduateresearch group experience.The goals of implementing this model were to increase capabilities, skills, and learning needed to 1. Digest and disseminate new information in a clear and organized manner 2. Select appropriate illustrations and exercises to teach the topic to others 3. Critically evaluate a research journal article from the literature 4. Delve deeply into a topic of interestThe model was implemented in an upper level environmental engineering class of eight students.Course
required for breadboarding circuits. On the last day of the program, they againpresented what they had accomplished and were asked to provide a ‘lesson learned’. Most of thelessons learned in both the first and second segment of this summer program focused on the needfor care, attention to detail and the challenges of troubleshooting a project.INTRODUCTIONThe lack of representation of African American males in the STEM educational pipeline is arecognized ongoing problem for STEM higher education [1]. Research suggests that approacheswhich improve teacher-student relationships, provide meaningful learning, and developcommunity can improve student perceptions and engagement with STEM subjects. Beat theStreets Baltimore is a program that utilizes
expansions in the East Bay and SFO Airport at three billion to the New Starts program for the Federal Transit Administration with over a hundred projects and $85 billion in construction value. At the latter, he also acted as source selection board chairman and program COTR for $200 plus million in task order con- tracts for engineering services. Working for the third-largest transit agency in the United States, the Los Angeles County MTA, Michael managed bus vehicle engineering for $1 billion in new acquisitions and post-delivery maintenance support for 2300 vehicles with some of the most complex technology (natural gas engines and embedded systems) in the US transit industry in the 1990s. Michael also has extensive
recognition seeing how thealtered ones deviate from the acceptable ones thus findingthe fault(s) in the pile. Figure 1: Threat vectors in additive manufacturing 2 Method of Attack Two data sets of g-code files wereprepared for the students to examine and find Figure 2. Tensile test specimenthe defected files within. The first dataset was composed of 180files, two of which were compromised. Thefiles were each rotated 1 degree from theoriginal starting point about the Y-axis. The Second dataset was composed
educators create an active-learning atmosphere, inspiring greaterinterest for STEM in their students [1].” Most literature relating to demonstrations focuses on asingle concept or principle. It is the idea of this paper to expose the student to many principleslearned in many classes in a combined way to gain an understanding of how each of the conceptslearned is combined to form a complete system.Universal ImplementationUnderstanding that most instructors would not have a whole house generator at their disposal,the principles presented can be conveyed in other ways. The concept of introducing students tohow the various materials learned in individual classes are combined to complete a practicalsystem can be shown with factory tours, with an