Jacobianmatrices using a recursive identification technique3. In what follows, the Jacobianestimation is discussed. Page 23.870.2Estimation of Jacobians Let us represent a nonlinear system by the following vector-matrix state equations: ̇ = f[x(t), u(t), t], and y(t) = g[x(t), u(t), t] (1)Where x(t) represents the 1 state vector, u(t) is the 1 input vector, f[x(t), u(t), t]denotes an 1 function and the output, y(t), is 1 vector. In general f is a function ofstate vector and the input vector. It should be clear that no single linear model canaccurately represent the system because of its wide operating
has been studied in engineering specifically, andScience, Technology, Engineering and Math (STEM) more generally, there is a lack of researchinvestigating factors that influence persistence in ML/AI. In this work, we present theadvancement of a model of intentional persistence in ML/AI in order to identify areas forimprovement. We surveyed undergraduate and graduate students enrolled in ML/AI courses at amajor North American university in fall 2021. We examine persistence across demographicgroups, such as gender, international student status, student loan status, and visible minoritystatus. We investigate independent variables that distinguish ML/AI from existing studies ofpersistence in STEM, such as the varying emphasis on non-technical
faced was the retention of new members and general club participants.New members tend to exhibit an initial excitement to develop an AUV, but club involvementnumbers tend to drop off as the school year progresses. The open-ended nature of the project,whereby there are multiple suboptimal solutions to problems, and the correct approach is notalways clear, tends to drive students away. To combat this, moving forward the Robosub teamhas reformatted its weekly general meetings to include presentations conducted by each of thesub-teams. This approach has a twofold positive benefit to the organization in that it provides: 1. A forum for new members and leadership to understand the status of each sub-team. 2. A deadline and development log to
facilitating mathematics course performance,comparisons were made between the final grades of the intervention course versus non-participants. Analysis focuses on the fall semester participants, as there was not a Calculus I courseoffered in the spring. Students in the intervention course were assigned the roller coaster projectfor their learning of calculus. On the other hand, students in the control group experienced theconventional instructional strategy.This study used three phases for both groups (Intervention and Control), namely: 1) Course opener;2) Learning Session; and 3) Assessment using a set of Calculus Test problems as post-test. At thephase one the intervention group were given an introductory module that provided a descriptionof the
generation evolvedbeyond the static systems of the first two generations to better handle more dynamic, socio-technical systems [24], [25]. These analysis techniques derived from heavy industrial settings,primarily studying systems in which “human error” was rare but extremely costly. Theeducational setting of a grading system differs: errors are relatively common but can be fixedeasily and have minimal consequences if caught. Still, in a large course with many gradersgrading a wide range of problems, the system is highly complex and dynamic.Grading open-ended performance tasks is inherently subjective and the process can varysignificantly depending on the task or level of performance; thus, this study employs a relativelynew approach called the
standard definition for virtual reality, depending on theirbackground scientists, researchers, and computer users have had a different definition for virtualreality. Pimentel and Teixeira [1], defined virtual reality as an immersive, interactive experiencegenerated by a computer. The more recent definition of VR is described by Dionisio and Gilbertas “computer-generated simulations of three-dimensional objects or environments with seeminglyreal, direct, or physical user interaction” [2]. From the definitions, it can be derived that VR hasan experimental nature with the main elements of the virtual world, immersion, interactivity andmulti-sensory feedback. The first virtual reality system was introduced in the 1960s, and the first Head
base-current generator could be stabilized if long leads areused by adding an 0.01μF ceramic capacitor between the base and emitter of the BJT under test.This paper presents an inexpensive curve tracer module for determining the IV characteristics ofcommon electronic devices. It is intended for use with introductory courses in electronics and iscompatible with both standard laboratory equipment and with “lab-in-a-box” apparatus like theNational Instruments myDAQ. It is hoped that this device will prove itself useful to a wideaudience and be beneficial to students’ understanding of basic electronic device characteristics.References[1] M. Shwehdi, C. Jacobsen, and A. Al-Rawi. “A Senior Design Project Of A f Meter Device To Assess Teaching
utilizing the current generator box pairedwith the function generator of the oscilloscope to create a current source to apply to the resistor,the overall setup was as seen in Figures 1 and 2. Figure 1: Overall setup of the lab, with the oscilloscope Figure 2: Breadboard setup during Part One of the labStudents measured the peak-to-peak readings of the output and also the RMS value for variousresistors to see the effect of a lower or higher resistance, then added an inductor (which itself hadan assumed nontrivial internal resistance), placing the resistor and inductor in series (Figure 3).The students were encouraged to make the connection between the circuit they were building andthe simple
as e-commerce, smart phones, and socialnetworking, are the main reason behind this exponential data growth [1]. This large volume ofstructured and unstructured data is known as “big data” [1, 4]. Data is generated every rapidly.For example, in just one second, users are performing 40,000 search queries on Google, sending520,834 messages on Facebook, and uploading 5 hours of video on YouTube on average [2].The large increase in data opens up doors for new types of data analytics called big data analyticsand new job opportunities [5]. The U.S. Bureau of Labor Statistics (BLS), Occupational OutlookHandbook 2018 [5] project that this large growth in data will create 34 percent more jobs from2016 to 2026. The BLS’s [6] report states that, “The
average cost ofcollege textbooks has risen three to four times faster than the rate of inflation over the past 10years. In a single year, the average college student spends more than $1,200 on books andmaterials, as reported by the College Board [2]. The survey conducted in this research confirmsthe high cost of learning resources for engineering students. The main problem is that as the endusers, students generally have no role in selecting the course learning materials. The high andrising cost of textbooks and its impending influence on the learning of students who cannotafford such prices has been investigated and discussed by government agencies, researchers, andeven public media [1], [3], [4], [5]. Digital Affordable Learning
AtmosphericAdministration (NOAA) Climate Prediction Center (CPC) seasonal data to compute the PalmerDrought Severity Index (PDSI). The accuracy of the model is validated using the historicalrecords of drought indices and available seasonal temperature and precipitation data provided bythe NOAA CPC. The results of the forecasts produced by this model will be compared with theobserved drought indices and validated. The mean error rate and root mean square error (RMSE)methods are used to measure the accuracy of the forecast at stations for validation. The validatedmodel can be used in classroom and laboratory settings for general engineering studies.1. IntroductionDrought is a part of the natural variability consists of various hydrologic interactions such
project that helped them with their presentation skills.We chose the project based on the students' background and passion and with having their degree,general engineering, in mind. Students at Cornell College are heavily involved in artistic andathletic activities. The students involved in this project had recently taken the engineering circuitscourse and have a musical knowledge background. The technical goal of the project was toconstruct a gesture-controlled piano that could recognize the distance from an object to the sensorand translate it into musical notes. The idea came from an open-source project designed by AndyGrove. The students built upon the open-source project and expand its capabilities. They addednew features to the initial
-contained module approach was selectedbased on literature supporting scenario based learning. The intent of the self-contained modules is tohave all necessary materials to teach and assess a particular code topic developed and packaged withnotes that faculty can follow without need to generate materials themselves. Here, at the departmentlevel the modules were created then are able to be distributed where applicable to those faculty andcourses relevant to the IBC. “Module” is used to describe each grouping of code-related content, based on its ability to beindependently used and adopted within a curriculum. Alternatively, back-to-back topics could betaught together that would result in a 3 credit upper level undergraduate technical elective
the small number of responses it is difficult to distinguish thesetrends according to sub-discipline, but as expected a general trend of greater number of coursesfrom R1 to M+B institutions is clear. Table 4: Quantity of Teaching Quantity of Teaching per Year (# of responses) Type Rank 1-2 courses 3-4 courses 5-6 courses 7+ courses TT 32 33 1 - R1 Tenured 20 32 1 - TT 9 14 6 1 R2 Tenured
of theseconditions require the removal of shattered or malignant bone tissues and result in bone defects.Small bone defects can heal spontaneously through a regenerative healing process which followscellular and molecular mechanisms similar to those for the formation of embryonic bone.1,2However, bone defects larger than a critical size cannot heal spontaneously via the regenerativehealing process. Critical-sized bone defects are generally defined as those greater than 1-2 cm orthose correspond to greater than 50% loss of the bone circumference, depending on the anatomiclocation of the host tissue.3–5 Critical-sized bone defects, both congenital and acquired, areserious and costly impairments. To induce the bone regeneration across critical
admission decisions were finalized by the program coordinators,the lead author sent an email to all of the admitted students to request that they participate in aninterview study that explored their future career plans and initial perceptions of the threepathways offered by Flit-GAP. Participants were offered a $25 Amazon giftcard as an incentiveto participate in the interview study, and all 16 students agreed to participate. Table 1 lists eachparticipant’s pseudonym, gender identity, race/ethnicity, and major, as well as information aboutwhether they are a first-generation college student (FGCS) or continuing-generation collegestudent (CGCS).Table 1: Participant Background Information
. The coding of student responsesis described in more detail in Table 2. These five characteristics, while specifically selected forthis problem, are general enough to be applicable to other engineering problems as well. The 15minute “solution” response was binned by two items: the presence of an answer and whether theanswer was the preferred choice. For the problem given in Figure 1, a choice of design 2 or 4,accompanied by the appropriate justification, was considered the preferred choice.For each of the five problem-starting characteristics described above, the students were dividedinto two categories: those whose response contained the characteristic and those who did not. Itwas possible for a student’s 5 minute response to contain more
and Maintenance Fees”, USGBC website, 2017. [Online]Available: https://new.usgbc.org/cert-guide/fees#om[4] N. Knox, “All about Arc, A performance platform like no other”; GBCI website, December2016. [Online] Available: http://www.gbci.org/all-about-arc-performance-platform-no-other[5] Jeanne Allen Carswell, LEED® AP BD+C, ND, Specialist, Technical Solutions at USGBC;email sent on 1/22/18
1. Screen shot of the RSLogix 5000 software, which while powerful and versatile canappear quite daunting to students with limited programming experience.Students were initially introduced to the LabVIEW programming environment based on thegraphical nature of the programming, the robust in program help, and the active community ofusers providing both tutorials and support2. Arduino was chosen as the second platform due tothe readability of the code, the abundance of examples and tutorials3, and the key lessons ofprogram flow that can be taught with loops and conditionals. Given that Arduino was originallytargeted a non-technical audience4, the expectation was that this would be an accessibleenvironment for the students to develop programming
results andperformed their calculations in full view of their peers and the instructor. When they got stuck,they turned around and solicited help from their peers first and then the instructor. Livelydebates occurred. The instructor made note of who figured out each concept first and then usedthat in the discussion.For a written report, each group answered the following: 1. Rank the panels in order of relative energy efficiency, best to worst. On what basis do you know this? 2. Rank the panels in order of cost per unit of energy converted. How did you determine this ranking? 3. How much does azimuth affect power generation? What tolerance would you recommend on setting the azimuth of a solar panel?The results of the
=base&utm_campaign=jos, viewed Jan. 2013.14. Arduino Wikipedia page, http://en.wikipedia.org/wiki/Arduino, viewed Jan. 2013.15. Raspberry Pi, http://www.raspberrypi.org/, viewed Jan. 2013.16. Propeller General Information, http://www.parallax.com/propeller, viewed Jan. 2013.17. Fraser, S., “A Community College Perspective of How Ocean Applications Can Enhance Technical ProgramCourse Offerings and Expand Student Opportunities”, ASEE Annual Meeting, June 2011.18. Propeller Object Exchange Library. http://obex.parallax.com/19. EGR 345 Dynamic System Modeling and Control course web site,https://sites.google.com/site/engineeronadisk/home/egr345, viewed Jan. 201320. Jack, H., “Dynamic System Modeling and Control”, Lulu Press, 2012. http
new faculty members, resulting in larger calculus class sizes. The goalis to keep enrollment in calculus courses under 45, but this is not always feasible.In any fall or spring semester, the author generally teaches one or two sections of either CalculusI, II, or III, depending upon what is assigned by the department chair. The author’s gradedistributions for Calculus I, II, and III for academic years 2000 through 2016 were fairlyconsistent within a course and across courses, except for two fall 2016 sections of Calculus III.The author is aware of her higher grading for her two sections of Calculus III taught during thefall 2016 semester. Possible reasons are that (1) the author had large classes and used multiple-choice tests. Students did
and Century College were in general similar to those fromnational surveys, there were differences noted in the areas of exam cheating and plagiarism.IntroductionEngineering is an important and learned profession. As members of this profession, engineers arerequired to adhere to the highest principles of ethical conduct as engineering is a profession withpublic purposes, including contributing to public safety and the environment. Thus, engineersmust maintain standards of honest and conscientious practice as is crucial for maintaining humanwelfare.Dishonest (unethical) behavior in the engineering workplace has been found to be linked toacademically dishonest behavior in college.1-3 Unfortunately, academic dishonesty is widespreadin the United
). However, some students maynot have graduated before completing the survey.The 2021 survey had three sections: 1) Background information: Year of enrollment in the Materials Kinetics and Senior Design courses and frequency of programming usage in classes; 2) Motivation questions: Task value of programming skills, perceptions of the programming tasks in the curriculum, and the relationship between programming skills and general problem solving; and 3) Short answer questions: Effect of the COVID-19 pandemic on perceptions of programming assignments.Appendix A contains the complete survey from this 2021 study. Eight of the ten multiple-choicequestions, Questions 1, 2, and 5-10, were adapted from a survey of MSE
the Non-Volatile Memory Express (NVMe) interface for new generation storage devices [1],the corresponding multi-queue request submission/completion capability (blk-mq) implemented in the 2Linux block IO layer [2-3], and new IO scheduling algorithms specifically designed for blk-mq [4-6].We have also seen the emergence of new NVM based storage technologies such as Intel’s Optane Solid-State Drive (SSD) based on their 3D XPoint technology [7], Samsung’s Z-SSD with their SLC based 3DNAND technology [8], and Toshiba’s XL-Flash design using a similar technology as Z-SSDs [9-10]. Allthese innovations enable a new generation of Ultra-Low Latency
Hispanic/Latino students haveparticipation rates of 18% and 19% respectively, as shown in Table 1 [4]. The difference is morepronounced for transfer students and first-generation students, with 15% for transfer vs. 30% forstudents who started as freshmen, and 18% for first generation vs. 28% for non-first generation[4].In contrast to these national trends, the Vertically Integrated Projects (VIP) Program at theGeorgia Institute of Technology shows consistent representative enrollment for black andHispanic/Latino students when compared with the campus population. We posit that theseenrollment patterns are not the product of targeted recruiting or a specially tailored program, butreflect student response to a program designed to serve all
was conducted in Chemical, Biological and Environmental Engineering at OregonState University. Sixteen focus groups and 6 individual interviews were conducted with enteringand soon-to-be-graduating students.Our findings reveal that students who identify along social identity categories that are centered inUS culture (e.g., white, able bodied, straight, male, access to resources…) experience a strongsense of belonging. Of this group, about half are unaware of the unearned advantages linked totheir social location, while the other half articulate an understanding of their privilege.International students and students of color generally expressed a lower sense of belonging in theunit and experiences of marginalized status. A complexly layered
Generation Architecture pre postFigure 1. Students’ average self-efficacy ratings from the STSS, at pre- and post-test, for each of the five categories.For the second part of the STSS, students were asked to apply their ST/SE knowledge and skillsin the context of technical problems. The contexts for these problems were chosen to berelatively familiar objects (computer, lawn equipment, jewelry) so students’ prior knowledge ofthe objects would be consistently high, allowing the assessment to focus on ST/SE knowledgeand skills. Many of the items involved multiple aspects of ST/SE knowledge and skill (accordingto domain experts
in 2017. She specialized in Cybersecurity, particularly on the prediction and modelling of insidious cyber-attack patterns on host network layers. She also actively involved in core computing courses teaching and project development since 1992 in universities and companies. c American Society for Engineering Education, 2019 Big Data Analytics: with an infusion of statistics for the modern student1. IntroductionRecent technological advancements in various fields such as e-commerce, smart phones, andsocial media generate huge volumes of data on a scale never seen before [1]. New data aregenerated every second. For example, every second on average 40,000 search queries areperformed on Google; 520,834
they might utilize itin their courses. 1. I would use LA to identify students that are struggling. 2. I would use LA to identify students that are high performers. 3. I would use LA to examine topics that students struggle with. 4. I would use analytics to identify content that struggles to engage students. 5. I would use analytics to make improvements to the course content.The second section of post-LA addressed any concerns or challenges the faculty had about LA intheir courses. 1. The amount of information can be overwhelming. 2. The amount of time required to generate insights can be overwhelming. 3. The insights from LA are already available from in-person teaching. 4. The learning analytics insights