light. Other cells within the eye are responsible to carrythese stimuli to Retinal Ganglion Cells (RGC). At this stage “retinal ganglion cells respond tocontrast in their receptive field. On-center ganglion cells are excited when stimulated by light inthe center and inhibited when stimulated in the surround; off-center cells have the oppositeresponses”4. Up to this point all the cells involved in object and orientation recognition arelocated in the eye, while the next stage is the transmission of the stimulus to the brain.Simple and Complex Cells are found in the primary visual cortex located in the occipital lobe ofthe brain (refer to Figure 1). Simple Cells are sensitive to edges with specific orientations. Whena simple cell is fired the
context of a one unit lab.The knowledge, time and money that had to be expensed inhibited prototyping. Well, about thistime the Rapid Prototyping (RP) industry was just beginning. Cool Stuff and we got heavilyinvolved with it from the beginning (reference 1). We could imagine the possibilities for theproduction of tooling and in the teaching of engineering design. We acquired our first systems in1993 and started to use them in the course. However, there were problems with ourinfrastructure for the course. We couldn’t yet support the rapid development of geometries in thetimeframe we had. We were constrained by the lack of a computer lab or adequate software.Also, we lost the existing foundry lab when we joined the Manufacturing department to
159 PRINT "Hello, world!" Figure 1: Hello World in QuickBasicUnfortunately, the original procedural paradigm is being supplanted by the object-orientedparadigm. Under object oriented programming, everything is an object and all written code isrelated to class definitions and methods. While this approach offers flexibility and scalability, itrequires students to define class constructs before even basic programming concepts areunderstood – such as expressions, variables, conditional logic, loops, etc… This results in alearning curve that has increased rather than decrease.For example, the following is same Hello World example in the Java Programming Language.This code declares a
techniques to protect internet servers and provide security toonline education from such threats.1. IntroductionFor a millennium, universities have been considered the main societal hub for knowledge andlearning. However, over the last several decades, the basic structures of how universities produceand disseminate knowledge and evaluate students have shifted in a new direction due to societalchanges created by technology—computers, internet, instant messaging, e-mail, Facebook, andtweeter. The transmission of knowledge need no longer be tethered to a college campus. Thetechnical affordances of cloud-based computing, digital textbooks, mobile connectivity, high-quality streaming video, and “just-in-time” information gathering have pushed vast
218 Course Supplement Tools for Enhancing Students' Learning in ECE Freshmen Courses Zekeriya Aliyazicioglu, Rajan Chandra Electrical and Computer Engineering Department, California State Polytechnic University, Pomona, CAAbstractAll freshmen students in our Electrical and Computer engineering take (1) Introductory CircuitAnalysis and (2) Introduction to C++ Programming for Engineers. These courses are the gatewaycourses to both Electrical and Computer Engineering programs. They not only provide theessential problem solving
which amplify theNational University mission. Consistency between the BS in Computer Science PEOs anduniversity mission are demonstrated by the mapping between the PEOs and the InstitutionalLearning Outcomes (ILOs) shown in Table 1.All seven ILOs are related to BS Computer Science PEO #1. To be engaged and active in thecomputing profession requires applying information literacy skills to maintain currency.Practicing, responsible professionals also communicate daily with others in their profession andwith other professionals in their enterprises. There is a direct relationship between displayingmastery of knowledge and skills in computer science and being engaged and active in thecomputing profession or related professions. Employers demand
was lower for theintroductory course. Student feedback revealed a higher degree of satisfaction in the junior-seniorlevel course. Both groups perceived that the flipped classroom approach promoted placing theresponsibility of learning on the students. We speculate that different levels of preparation forcollege were in part responsible for the mixed reception of the flipped classroom approach amongthe freshmen.1. Background:The flipped classroom approach inverts the traditional “teaching/lecture – learning/homework”model by presenting the course content outside of classroom ahead of the traditional lectureperiod and by replacing the lectures with active forms of learning in the classroom [1] [2].Typically, the content is delivered online
STEM classes offered in an online format. In one large studyat the community college level, the average proportion of enrollments that were online was10.2%. In this same study, enrollments in online STEM subjects average 3.5% whileenrollments in Humanities and Social Sciences was a very strong 20% (see Table 1). Proceedings of the 2015 American Society for Engineering Education Pacific Southwest Conference Copyright © 2015, American Society for Engineering Education 239 Table 1 - Enrollments in Online Courses Data from (Xu and Jaggers 2013
incorporated to improve the project and quality of student learning.ABET Accreditation Criteria for Engineering programs require that accredited engineeringprograms demonstrate students have “an ability to design a system, component, or process tomeet desired needs within realistic constraints such as economic, environmental, social, political,ethical, health and safety, manufacturability, and sustainability,” and “an ability to function onmultidisciplinary teams” 1. The integrated and collaborative learning environment provided bythe type of applied project used in this course can help prepare students to address problemsolving to meet desired needs within realistic constraints while developing their awareness ofcommunity needs.Active learning
final aims ofthe training.Because of these obstacles, the idea presented by Decamps et al. (2009)1 of the coursemanagement, which describes how each player carries out a particular role in the learningenvironment, is well-suited to this context. That is why we are committed to workingalongside the IDEFI project run by the University of Paul-Valéry Montpellier and morespecifically through an initiative entitled “Publics Empêchés”, whose objective is toencourage success in first-year university students, though customized methods of teachingand learning, within a learning environment with no Internet access.A Situated Learning Approach without Internet AccessBecause of the lack of Internet access as well as other constraints within the French
%,and the average scores for the bottom 1/3 and 1/5 of the class are not much lower: 81.23% and80.57% respectively. However, test results show a different picture: while the class average is75.89%, the average scores for the bottom 1/3 and 1/5 of the class are 60.46% and 55.76%respectively. Note that “bottom” is in respect to students’ overall-grade for the whole course.Overall Grade CalculationThe final grade in introductory Computer Science courses in the United States is typicallyassigned based on the overall grade for the course, which is the weighted average of the scoresfor labs, projects, homework, and tests (i.e. midterm and final exams, lab tests, quizzes, etc.).The distribution of weights in the overall grade calculation varies from
via a complex, state-of-the-art network of aqueductscomprised of miles of pipelines, channels and tunnels, pumping stations, treatment plants, dams,reservoirs, and hydroelectric plants 1. Over the past several years there has been a significantreduction in the amount of water imported from the Colorado River, the State Water Project, andthe Los Angeles Aqueduct (Owens River Valley). Along the Colorado River, the two waterstorages (Lake Mead and Lake Powell) remain below half capacity 2. In addition, the watersupply from the State Water Project and the Los Angeles Aqueduct has been reduced for theprotection of endangered species and habitat restoration 4,5. Proceedings of the 2015 American Society for Engineering Education Pacific
diversity. Recent articles suchas [1] emphasizes the role of Big Data technologies in innovation that is leading us to an“intelligent” economy of smart cars, smart buildings, better healthcare, law enforcement andeducation, productivity gains in economy and new and efficient ways of interacting withcustomers.The requirements for handling structured data with fixed schema, as well as unstructureddata with no fixed schema, and theoretically unlimited volume and velocity of data hasprompted the development of the so called Big Data technologies. Most of these are in theopen source and has been spurring rapid adoption by the industry. Although their availabilityis easy these technologies are based on advanced Information Technology concepts such
of academic models for learning-by-doing that we examined, the method iseither practiced as an in-class type of exercise, in the form of laboratory and computer modelingassignments, or as long-term student research projects. Depending on what form is implemented,there are always requirements and upgrades that has to be carried out at different levels forsuccessful results, including:1) Modifying classroom content and presentations to provoke students’ participation2) Restructuring homework assignments and course evaluation system4) Modernizing classrooms and laboratory equipment for facilitating experimental observationand education for students, and providing access to computer-aided design and engineeringprogramming tools.3) Defining
word tags). Agiven selection of exercises may be displayed or sorted along any combination of thesedescriptors. As an example, a descriptor could assign to each exercise a simple tag, such as“easy,” “medium,” or “difficult.” Or, a descriptor could serve to assign a topic to each equation,such as “beat frequency” or “kinetic energy.” As a more advanced example, descriptors couldcomprise an educational taxonomy, as we will show in following sections. Figure 1 summarizesthe symbols, equations, exercises, and descriptors implemented in phiMap. Figure 1: Overview of the different data elements implemented in phiMap.As descriptors operate at different granularities, they allow for complex relationships within a setof exercises to be
knowledge (for an overview, see Hoskinson et al.1). Problem solving,whereby one applies abstract principles in an expert-like fashion in order to achieve a goal, playsa central role in this endeavor.In physics, such abstract principles are commonly embodied through equations and instantiatedthrough word problems. Problems often refer to idealized objects or events (e.g., a block slidingon an inclined lane). Yet, rather than eliciting abstract thinking, such problems reinforce roteassociation with formulas and restrict transfer toward “real-life” situations. Many scholars deemidealized problems responsible for students developing a formulaic approach toward problemsolving (i.e., “plug and chug”), and ultimately leaving introductory courses with poor
a depiction of the typical RFIreview process. Figure 1.a: Typical RFI Review Process Flow7The RFI discussion forum is a tool that can be used to help solve many of the issues that ariseduring the construction process. It could simplify the communication between the projectdecision makers and it can be applied to any project regardless of size or contract type. Thediscussion forum is intended to be implemented by the stakeholders early on in thedevelopment phase and should be preset with the list of professionals that will have access tothe forum and who will want to receive the RFI alerts and notifications. The discussion forum Proceedings of the 2015 American Society for Engineering Education
, a mechanism was put in place for market place assessment over a 5 year span. This papergives an account of partnering in course development.MotivationThe more recent discussions in this partnering paradigm shift concern how industry could orshould influence curriculum. At the 2013 Conference of American Society for EngineeringEducation (ASEE), Chinchilla investigated the question as a matter of ethics and saving industrytraining costs 1. Ahzar et. al. noted how the academia-industry partnership can be used toadvance the knowledge base in construction management education 2. This paper demonstratesthe positive affect of an academic-industry partnership and how the curriculum and teaching is Proceedings of the 2015 American Society
353Introduction: Cardiovascular disease is the leading cause of death in the United States. Itaccounts for about 600,000 deaths each year. It is the leading cause of death of alldiseases in both men and women in the United States 1. One of the most criticalrisk factors for heart disease is hypertension or more commonly known as highblood pressure. Currently there are about 67 million, or about 1 in 3 people, whosuffer from hypertension in America2. The costs of treating hypertension aloneexceed $47.5 billion dollars each year in the United States. Thus, finding cost-effective and innovative solutions to combating this problem are vital. Current blood pressure monitoring systems make use of natural physicalproperties such as wave oscillation
fractions of funding and faculty attentionwhile undergraduate programs atrophy unless the engineering school deliberately maintains itsidentity as an engineering program rather than an engineering sciences program.There are some questions the engineering education community should be asking over the nextfew years: 1. Do we have the desire to regain our identity and serve our industry customer? 2. Who are we? Scientists or engineers? Graduate programs or undergraduate? What’s our first priority? 3. Can we properly structure a curriculum and a faculty and an academic environment that makes sense for undergrad engineering students and the rookie engineers they’re about to become? 4. Can we recruit and motivate and
that will have great potential to improvemankind’s quality of life. The overarching thematic areas include energy and environment,health, security, and learning and computation. The GCSP has five components: (1)interdisciplinary curriculum, (2) hands-on projects or research experience, (3) entrepreneurship,(4) service learning, and (5) global perspective. The aforementioned roadmap will not onlyenhance students’ skills and knowledge needed to solve complex societal problems, but willprovide realistic and exciting opportunities for students to get engaged.There is an increasing number of engineering programs worldwide adopting the GCSP roadmapwithin their existing undergraduate and/or graduate education. The details of a proposed GCSPin the
engineering teaching institutethat assists community college engineering faculty in developing technology-enhanced instructionusing tablet computers and distance education; and d) alignment of engineering curriculum anddevelopment a joint engineering program among participating community colleges. Theseprograms have resulted in strengthening the community college engineering education pipeline inthe state.1. IntroductionDespite increasingly urgent calls to broaden the participation of underrepresented minorities(URMs include African Americans, Alaska Natives, American Indians, Latinos, NativeHawaiians and Pacific Islanders) in engineering not much progress has been achieved. Since2000, underrepresented minorities’ shares in engineering and the
are embeddedinto both the task maps and mapping rules to eliminate seemingly complex mathematical notations.Eventually, 3D animations will be utilized to enhance students’ learning by turning abstractionsinto animated environment and in particular to show the movement of primary keys based on thecardinalities of involved relationships. Assessment activities will also be carried out in the futureto determine the effectiveness of the new approach.1. IntroductionRelational database was first proposed by EF Codd in early 1970s. He laid out the foundation ofdatabase based on relational theories or set theories. Database is generally considered as amultidisciplinary subject, therefore it is also at times termed as database engineering, because
394 Engaging Community College Students in Engineering Research through Design and Implementation of a Cyber-Physical System for Myoelectric-Controlled Robot Car Norman Ettedgui1, Joe Cooney1, Brian LaBar1, Ernest Frimpong1, Gilbert Szeto2, Amelito G. Enriquez1, Kwok-Siong Teh2, Cheng Chen2, and Hamid Mahmoodi2, Wenshen Pong2, Hamid Shahnasser2, and Xiaorong Zhang2 1 Cañada College, Redwood City, CA/ 2 School of Engineering, San Francisco State University, San Francisco, CAAbstractTo
focuson the topics listed in Table 1. We present terminology, definitions, concepts, theories, problem-solving techniques, and other information related to these topics using in-class lessons,supplemental notes, and textbook readings. The in-class lessons involve considerable work onthe chalkboard (or white-board) and include frequent student questioning1. The supplementalnotes include learning outcomes, additional details on important concepts, problem solving tips,and examples. We assign textbook readings to support the notes and in-class lessons. Thetextbook is the second edition of An Introduction to Geotechnical Engineering by Holtz et al.2 Table 1 - Essential Course Topics or Learning Modules Topic Number
designers can implement even the most complex digital circuitsusing a combination of basic digital circuits. Figure 1 shows a diagram of FRDD’s basic digitaldesign modules and their relation to digital logic design. FRDD does not emphasize thefollowing topics: Proceedings of the 2015 American Society for Engineering Education Pacific Southwest Conference Copyright © 2015, American Society for Engineering Education 444 In-depth notions of transistors Function reduction using digital theorems In-depth function reduction using Karnaugh Maps References to discrete hardware devices Uncommon
as a teaching tool in science and mathematics courses.A broad collection of typical problems in mathematics and physical science courses are tested inthe system and the benefits as well as the shortcomings of the system as a teaching resource arediscussed.1. Introduction:Wolfram Alpha is a computational knowledge engine that is implemented based on theMathematica Symbolic Algebra System. Wolfram Alpha’s built-in knowledge and computationalcapabilities and algorithms are implemented in Mathematica. The system is capable of receivinginput in a form of text, image or tabulated data then compute and display answers along withadditional information the system may consider relevant and perhaps useful. The data in thewolfram alpha is organized in
) 1, which is a pre- and post-course instrument developed to track how students’conceptual understanding of important topics changes throughout the class. The DCI containsmultiple questions about eleven topics covered in the dynamics curriculum. The conceptscovered by the DCI include those targeted by the hands-on activities we have developed,providing us with additional data to assess whether the activities are working as intended.According to research by Laws et al. 2, students who are taught using the traditional lecture–example problem methods generally have a lower conceptual understanding of course materialthan those engaged in active learning. The data from Laws et al. given in Figure 1 show adramatic increase in concept understanding
the survey were active instructors with direct knowledge of theirschool’s computer laboratory resources. The project objective was to gather information on a Proceedings of the 2015 American Society for Engineering Education/Pacific South West Conference Copyright © 2015, American Society for Engineering Education 484large variety of topics which affect the provisioning of computer science labs used in highereducation degree programs.This paper categorizes the survey responses into the following topical groups: Group Number Description 1 General