outweighed by an obligation to expose (other) unethical activity?To what extent is this action similar to a student viewing someone else’s unprotected computercode and then submitting it as his/her own work? Or suppose the student just viewed it, but didnot submit it; would that still be unethical? This case can serve as interesting, current, case studyin privacy rights in a computer network.1. IntroductionThe ACM/IEEE-CS Computing Curricula 2001 [1], in its Social and Professional issues area,lists seven “core” units that should be a part of any curriculum. Unit SP7 is “Privacy and civilliberties.” Students need to understand the importance of placing appropriate access restrictionson sensitive information, and of not breaching the confidentiality
Graphics and Computer Aided Design: Course Notesand Problems, Pearson Custom Publishing, Boston, Massachusetts, 2002.2. Baxter, Douglas, “Evaluating Performance in a Freshman Graphics Course to Provide Early Interventionfor Students with Visualization and/or Design Intent Difficulties”, Proceedings, American Society ofEngineering Education: Annual Meeting, Montreal, Canada, June 2002.3. Baxter, Douglas, and Lister, Brad, and Laplante, Bruce, “A New Model for a Self-Taught SolidModeling Course”, Proceedings, American Society of Engineering Education: Engineering GraphicsDivision Mid Year Meeting, San Antonio, Texas, January 2001.4. Baxter, Douglas, “Expanding the Use of Solid Modeling Throughout the Engineering Curriculum”,Proceedings, American
transition from high school to college and ultimately into society by: • developing a learning community of computer engineering students, • providing an opportunity for students to develop connections and friendships to aid in their collegiate transition, • encouraging persistence in the program, • developing a professional identity, and • supporting academic progress through the freshman basic engineering curriculum. Page 5.508.23. Provide teamwork and leadership skills through: • dealing with diversity, • understanding of group/team dynamics, and • developing social competence.4. Meet the demand of society for students in
years ago. One ofthe author’s first teaching assignments was a course entitled Computer-Aided Design ofAerospace Components. The content of this advanced CAD course draws on the practicalexperience gained while making digital design tools part of a business strategy to improve designproductivity. The course thus aims at making engineering students understand both the tools andhow to make them improve the design process. This paper presents the course original structureand content as well as some decisions made while defining it.ContextComputer-Aided Design of Aerospace Components is an optional course intended for third orfourth year engineering students. This course is included in the standard curriculum forAutomated Production Engineering
AC 2011-1021: HIGH ALTITUDE BALLOON INSTRUMENTATION INUNDERGRADUATE ELECTRICAL AND COMPUTER ENGINEERINGDick Blandford, University of Evansville Dick Blandford is the EECS Department Chair at the University of EvansvilleMark Earl Randall, University of Evansville Mark Randall Randall@Evansville.edu Instructor of Electrical Engineering Department of Electrical Engineering University of Evansville Page 22.772.1 c American Society for Engineering Education, 2011 High Altitude Balloon Instrumentation In Undergraduate Electrical and Computer EngineeringAbstractA high
à Session 2553 A Multi-faceted First Year Electrical and Computer Engineering Course Fred R. Beyette, Jr., James J. Caffery, Jr., Karen C. Davis University of CincinnatiI. IntroductionAn innovative course at the University of Cincinnati combines introductory level technicalmaterials with the development of academic survival skills and a hands-on laboratory experienceto produce an Introduction to Electrical and Computer (ECE) course for incoming freshmen. Thecourse, which is offered to ECE freshmen in their first term, is designed to promote
that stems from engineers the effect of an and computer scientists in entrepreneurial society. mindset.The table above expresses the different methods used to involve concept mapping in the curriculum ofundergraduate education. Kaivola and Lokki [10] had the most diverse methods implementing note takingskills as opposed to the activity distribution technique. One common denominator is the desire to exposestudents to a variety of learning styles that fit their needs. This study produces a unique data set thatmeasures computer science student’s concepts around value creation and EM.MethodsThe method of this
. Finally, the activitiespresented in this paper are only a first step to develop a well-designed activity for these topics. Asfuture work, the author intends to create a repository of these activities with correspondingassessments to complement the activities.References [1] Alison Clear and Allen S Parrish. Computing curricula 2020. Computing Curricula, 2020. [2] Association for Computing Machinery (ACM) Joint Task Force on Computing Curricula and IEEE Computer Society. Computer Science Curricula 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science. Association for Computing Machinery, New York, NY, USA, 2013. ISBN 9781450323093. [3] James F Kurose and Keith W Ross. Computer networking: A top-down approach
professor and head of the ECE department. His interests include projects based education, curriculum development, international study abroad programs and mentoring, and computer/embedded systems engineering. Page 22.731.1 c American Society for Engineering Education, 2011 Frontiers of Electrical and Computer Engineering: an Introductory First Year Course Worcester Polytechnic InstituteIntroductionSeveral motivations exist for exploration of new approaches to the introduction of first yearstudents to Electrical and Computer
Option B – Elective option (9 credits; select three courses from approved I.S. curriculum)A tenet of the MSIS program is that to manage technology effectively, it is necessary first tounderstand the technology. For this reason, a course in computer architecture is included as oneof the engineering core courses. The course is introductory in nature, offered at the level of asenior undergraduate or first year graduate. Despite its fundamental nature, teaching the courserepresents a major challenge for the instructor due to the diverse technical backgrounds of thestudents, many of whom are “career shifters.” That is, they are shifting into the field ofinformation science from non-technical backgrounds such
direct shear, triaxial shear, hydraulicconductivity utilizing flexible-wall permeameters, and, perhaps, even consolidation. Andcertainly, most CET students are not exposed to data acquisition systems and computer-controlled data acquisition. It is also the author’s belief that exposure to data acquisition toolscan be very rewarding undergraduate experiences. While students must become familiar withbasic testing equipment, the use of modern, state-of-the-art equipment and data acquisition isextremely effective in stimulating interest in undergraduate laboratories. Equipment was integrated into the curriculum in the form of laboratory experiences inrequired courses in the Civil Engineering Technology program at Fairmont State College
AC 2010-1858: INTRODUCTORY STRUCTURAL ENGINEERING EDUCATIONTHROUGH COMPUTATIONAL AND PHYSICAL MODEL BUILDINGPowell Draper, Manhattan CollegeEdward Segal, Simpson Gumpertz & HegerRobert Sicurelli, Princeton University Page 15.810.1© American Society for Engineering Education, 2010 Introductory Structural Engineering Education through Computational and Physical Model BuildingIntroductionThis project explored new ways of teaching introductory structural engineering concepts throughcomputational and physical model building. An educational project was organized in whichstudents would study actual structures, create accurate computer models of their geometry
Computer-based Adaptive Testing for Assessing Problem-Solving Skills N. Khandan Civil & Geological Engineering Department New Mexico State University, Las Cruces, NM 88003IntroductionProblem-solving is one of the skills that engineering programs strive to instill in their graduates.In typical engineering programs, students are expected to gain this skill by observing instructorssolving example problems and by practicing with homework assignments that are similar toexample problems. These problems can be elementary problems, complex problems, or open-ended problems. Since complex problems and open-ended problems can be solved by breakingthem down
periodic program accreditation linked to professional licensure.A challenge for first-year engineers is unequal entry-level preparation. Educational privilege inK-12 STEM training systemically marginalizes students from many groups including first-generation, people of low socioeconomic status, certain racial and ethnic groups, women, andpeople with disabilities [10]–[21]. To support these populations, our team of researchersdeveloped and validated the ECTD to identify at-risk students so that curriculum interventions orcourse-level interventions can be applied to enable student success, persistence, andenculturation as professional engineers.We use both quantitative and qualitative methods to determine how computational thinking isimpacting
model for integrating current topics in machine learning research into the undergraduate curriculum. IEEE Transactions on Education, 52(4):503-511.[27]. Lavesson, N. (2010). Learning machine learning: a case study. IEEE Transactions on Education. Doi:10.1109/TE.2009.2038992.[28]. Venayagamoorthy, GK. (2009). A successful interdisciplinary course on computational intelligence. IEEE Computational Intelligence Magazine, 4(1):14-23.[29]. Magdalena, L. (2009). Soft computing for students and for society. IEEE Computational Intelligence Magazine, 4(1):47-50.[30]. Samanta, B and Al-Balushi, KR. (2001). Use of time domain features in neural network based diagnosis of a machine tool coolant system. Proceedings
Developing VLSI Curricula in Electrical and Computer Engineering Department Xingguo Xiong, Hassan Bajwa, Lawrence Hmurcik Department of Electrical Engineering, University of Bridgeport, Bridgeport, CT 06604 Abstract VLSI technology has enabled the information technology revolution which greatly changedthe life style of human society. The rapid technology innovation in VLSI industry has lead tonew challenges to modern VLSI engineers. Students need to be trained systematically in theVLSI field to meet these challenges. In this paper, we share our experience in developingVLSI curricula in Electrical and Computer Engineering
Paper ID #38566Promoting Computational Thinking in Integrated Engineering Design andPhysics LabsDr. Ruben D. Lopez-Parra, University of New Mexico Ruben D. Lopez-Parra is a Post-doctoral fellow in the Department of Chemical & Biological Engineering at University of New Mexico. His Ph.D. is in Engineering Education from Purdue University and he has worked as a K-16 instructor and curriculum designer using various evidence-based active and passive learning strategies. In 2015, Ruben earned an M.S. in Chemical Engineering at Universidad de los An- des in Colombia where he also received the title of Chemical Engineer in
-related courses and does research with natural fiber composite materials. He is also interested in entrepreneurship,sustainable engineering, and appropriate technology in developing countries.Ms. Cynthia C. Fry, Baylor University CYNTHIA C. FRY is currently a Senior Lecturer of Computer Science at Baylor University. She worked at NASA’s Marshall Space Flight Center as a Senior Project Engineer, a Crew Training Manager, and the Science Operations Director for STS-46. She was an Engineering Duty Officer in the U.S. Navy (IRR), and worked with the Naval Maritime Intelligence Center as a Scientific/Technical Intelligence Analyst. She was the owner and chief systems engineer for Systems Engineering Services (SES), a computer
Paper ID #30094Attitude shifts and transformation during Computer Science andEngineering Student InternshipsDr. Mia Minnes, University of California, San Diego I am an Associate Teaching Professor in the Computer Science and Engineering Department at UC San Diego. My research interests lie in theory of computation (specifically resource-bounded computabil- ity theory and algorithmic randomness) and CS education and professional development (designing and studying community- and cohort-building initiatives, researching and enhancing the academic-industry transition for entering professionals).Dr. Sheena Ghanbari Serslev
curriculum. c American Society for Engineering Education, 2020 Designing an Engineering Computer Instructional Laboratory: Working with the PanopticonAbstractWe describe the process and outcome of designing a new computer laboratory to serve asinstructional space as well as student workspace. Throughout the design process, we werecognizant of the important role that space configuration plays in materializing power relationsamong the occupants. To that effect, we were interested in dismantling the panopticon. Weemployed a participatory design approach that extends user-centered design to allow coping withdisagreements. The use of this approach unraveled the complexity in which power
Paper ID #37116An Equity-minded Assessment of Belonging amongComputing StudentsKylan Nicole Stewart Kylan Stewart recently earned her B.S. and M.S. in Computer Science from California Polytechnic University, San Luis Obispo. Her studies centered on understanding how the lived experiences of students affected their computing education and investigating strategies to improve support strategies for undergraduate students.Bruce DebruhlZoe Wood (Professor) © American Society for Engineering Education, 2022 Powered by www.slayte.com An Equity-minded
Paper ID #33782Learning Experiences of Social Science Students in an InterdisciplinaryComputing MinorDr. Valerie A. Carr, San Jose State University Valerie Carr earned a PhD in Neuroscience from UCLA followed by a postdoctoral fellowship at Stan- ford University. She is now an Associate Professor in the Department of Psychology at San Jose State University where she conducts research regarding learning and memory across the lifespan. She teaches courses on human learning and neuroscience, and helped create SJSU’s new minor in Applied Comput- ing for Behavioral and Social Sciences (ACBSS). Valerie currently teaches the
Paper ID #33251Understanding Non-Traditional Students in Engineering and Computing(Work in Progress)Dr. Stephen Secules, Florida International University Stephen is an Assistant Professor of Engineering and Computing Education at Florida International Uni- versity. He has a prior academic and professional background in engineering, having worked profession- ally as an acoustical engineer. He has taught a number of courses on engineering and education, including courses on engineering design, systems in society, and learning theories. Stephen’s research interests include equity, culture, and the sociocultural dimensions of
increasingly important withthe proliferation of billions of IoT devices throughout the world. 5We designed the course to meet these needs and fill the curriculum gap for students who wouldnot otherwise encounter these topics through regular course work.Laboratory Station EquipmentFor the spring semester 2020, a new on-campus laboratory was assembled for this course with agenerous donation from the Intel Corporation. The initial floor plan consisted of 15 laboratorystations each with a workstation computer, customized DE2i-150 Development System 6 , sensorbreakout boards, and other test equipment. Unfortunately, we were only able to use thislaboratory in-person for a few weeks before the campus closed due to the pandemic.Over the summer, the laboratory
Paper ID #22581An Ecosystem for Success in Engineering and Computer ScienceDr. Horacio Vasquez, University of Texas, Rio Grande Valley Dr. Horacio Vasquez is a Professor in the Mechanical Engineering Department at the University of Texas - Rio Grande Valley (UTRGV), in Edinburg, Texas. His current research interests are in the areas of control systems, mechatronics, measurements and instrumentation, and engineering education.Dr. Virgil U. Pierce, University of Texas, Rio Grande Valley Dr. Virgil Pierce is an Associate Professor in the Department of Mathematics at the University of Texas – Pan American. His research is in
AC 2009-2181: UTILIZING THE XO COMPUTER FOR UNDERGRADUATERESEARCH AND LEARNING OPPORTUNITIESSilas Bernardoni, University of Wisconsin, MadisonMauricio Rodríguez Alcalá, Skidmore CollegeMaria Rodriguez Alcala, Paraguay Educa Page 14.1342.1© American Society for Engineering Education, 2009 Utilizing the XO Computer for Service Learning Opportunities: Collaborating with US Institutions and Paraguay Educa to Support XO Implementation in Wisconsin and ParaguayAbstract The One Laptop Per Child Project, created by the One Laptop Per Child (OLPC)Foundation, the program’s mission is to serve the worlds’ children by providing educationalopportunities
Paper ID #21287Applied Computing for Behavioral and Social Sciences (ACBSS) MinorDr. Farshid Marbouti, San Jose State University Farshid Marbouti is currently an Assistant Professor of General Engineering at San Jose State University. He completed his Ph.D. in Engineering Education at Purdue University. He has an M.A. in the Educational Technology and Learning Design and an M.S. and B.S. in Computer Engineering. His research interests are engineering design education, feedback, and using learning analytics to improve first-year engineering students’ success.Dr. Valerie A. Carr, San Jose State UniversityProf. Belle Wei
Paper ID #22529Encouraging Women in CS 1: Interventional Inclusive Pedagogy in Com-puter ScienceDr. Arshia Khan, University of Minnesota, Duluth Arshia A. Khan, Associate Professor at the University of Minnesota Duluth, earned a Bachelor of Engi- neering in Computer-Engineering, M.S. in Computer Science and Ph.D in Information Technology. Her research interests are interdisciplinary and span the biomedical informatics, clinical/health informatics, and consumer health informatics. Her research is on sensor based wireless, robotic non-intrusive device development for monitoring physiological changes for population health
selected as the software platform. It is taught in manycourses in the mechanical engineering curriculum including mechanics of materials, mechanicaldesign, and numerical methods. Students already have some familiarity with it, and it is widelyused in industry and research and development.Interactive examples of thermodynamic concepts were developed to provide the learner with theopportunity to progress along the cognitive process dimension from low to high level abilitieswithin the conceptual knowledge dimension. To be most effective, learners would need to havemastered the factual knowledge dimension of the material that is presented in the module. Inother words, a student using the computer modules would gain the most benefit if they learnedthe
methodologies described here provide a framework toaddress that need. This study did not specifically incorporate curriculum design for cross-platformusability but the test methods could be incorporated in human-computer interaction courses or anycourse that deals with multiple platforms.7. ConclusionsApplying the principles of Majrashi and Hamilton [3] has allowed us to create a model by which futureresearchers can measure and compare the usability of cross-platform computing. The defined metrics ofperformance, proposed simulated environments, and task outlines provide a framework for evaluatingquantifiable usability for current and future cross-platform software applications. The model includesadaptations for different computing platforms in typical