haveunique ability to learn and adapt to new situations utilizing the processes of generalization,abstraction and association with inspirations from nature [1-19].There are main five paradigms of CI algorithms, namely, (1) neural networks (NN), (2)evolutionary computation (EC), (3) swarm intelligence (SI), (4) fuzzy systems (FS), and (5)immunological computation (IC). The wide range of CI algorithms from these paradigmsinclude: (1)- artificial neural networks (ANN); (2)-genetic algorithms (GA), geneticprogramming (GP), differential evolution (DE); (3)- particle swarm optimization (PSO), antcolony optimization (ACO); (4) fuzzy inference system (FIS); and (5)- artificial immune system(AIS), clonal selection algorithm (CSA). ANNs have been developed in
the notion that computer literacy is mandatory for success, computer has nowbecome a standard tool in architectural offices across the US and around the world.Academic institutions in US are actively integrating computers into the curricula andsome are even requiring their students to purchase computers. This affects all schools ofarchitecture. Educational theorists, recognizing that computers are here to stay, cautionmore computerizing may not necessarily result in more learning [AHERN, 2001]. Whilecomputers’ potential for enhancing innovative exploration in the design studio is widelyreported in literature, many design educators see a pressing need to establish a criticalappreciation of the ways in which computer affects the student
State University. His interests include digital and solid-state circuits and computer programming. He is a member of the Society of Hispanic Professional Engineers and the Institute of Electrical and Electronics Engineers.John M Quick, Arizona State University John M. Quick is an Educational Technology doctoral candidate at Arizona State University who is in- terested in the design, research, and use of educational innovations. He has been active in the creation of both entertainment and serious games. His current research explores the intersections of individual characteristics, enjoyment, learning, and video games.Prof. Robert Kenneth Atkinson, Arizona State University Dr. Robert Atkinson is an associate professor
difficulty in their use. Before the question of how this alienation has developedis addressed directly, it is first necessary to review thecurrent procedures by which civil engineering undergraduatesare introduced to computers. All civil engineering undergraduatecurriculums have one or possibly two core courses which aredirected towards the learning of at least one computerlanguage. The writing and running of some simple programs isassociated with the course(s). The formal computer educationnormally finishes at this point and any further developmentin computer skills depends on the personal interest 40of individual students in the taking of other advanced computercourse electives or the continued exposure to
Professor at North Carolina A&T State University. His research in- terest include the implication of cloud computing technology on teaching and learning environments for underserved student populations.Dr. Tony E. Graham I, North Carolina A&T State University Tony E. Graham is Associate Professor, with a D.Eng. in civil engineering, May 2002, Morgan State Uni- versity, Baltimore, Md., USA; a master’s of architecture, May 1998, Morgan State University, Baltimore, Md.; and a bachelor’s of science in architectural engineering, May 1979, North Carolina Agricultural and Technical State University, Greensboro, N.C. Graham’s research interests are infrastructure engineering, geographic information system, and building
Paper ID #43957A Powerful Labs Environment for Computer Science CoursesDr. Chi Yan Daniel Leung, zyBooks, A Wiley Brand Chi Yan (Daniel) Leung is the Content Software Engineer (Labs lead) at zyBooks. He oversees the content creation and maintenance of labs across different titles at zyBooks. Before joining zyBooks, he was a lecturer at the School of Engineering at the University of California at Merced. He received his Ph.D. in Computer Vision from the University of California at Merced.Joseph Mazzone, zyBooks, A Wiley BrandMs. Efthymia Kazakou, zyBooks, A Wiley Brand Efthymia Kazakou is Sr. Assessments manager at zyBooks
twice andis conducted by Iowa State University professors in the security field, community experts, andgraduate students that are in the security program at ISU. The camp provides an overview ofcomputer security, educates students on computer networking security concepts, uses of differenttypes of cryptography, and general understanding of how information warfare is conducted. Thisis a “hands on” lab-oriented camp that provides students an opportunity to work with state of theart equipment and to learn from industrial and academic leaders. Students will work with currenttechnology like firewalls, Virtual Private Networks, and intrusion detection systems. Studentssetup security systems, analyze attacks, and see equipment in use. The last day of
., built-in encryption/decryption), trusted system boards, network switching elements, mobile devices,and sensors. Security at any point in the infrastructure requires careful attention to algorithmchoice and implementation method, with trade-offs between software and hardware beingparticularly important at these lower levels. The development of these secure systems requires apopulation of entry-level developers who have knowledge and skills beyond standard hardwareand software design. A key element of this is an understanding of cryptographic algorithms andtheir implementations. To gain the necessary knowledge and skills, a student must learn conceptsfrom multiple disciplines including computer engineering, computer science, and
from Sharif University of Technology, and a B.S. degree in civil engineering from Tabriz University. Her research interests focus on mental health and wellness in engineering, retention of engi- neering students from underrepresented groups, engineering student interactions with peers and faculty, and system thinking and system analysis. Dr. Gholizadeh has also work experience as an educational data analyst and strategic planning project manager.Prof. Ed P Gatzke, University of South Carolina Ed Gatzke is currently the Faculty Principal for the Green Quad Living and Learning Center at the Uni- versity of South Carolina. For eight years he served as the faculty advisor for the USC Engineering and Computing Living and
(c) 25% discussion of Internet items, computer programs, or practicalproblems (d) 5% for exams. The classroom has an Internet connection to provide live browsingand also the running of programs. Software tools can be demonstrated. Some example programsin C++ and Javascript were studied in the first two offerings. Excel programs were used in thethird offering.At least half of the classes included a session for collaborative learning [8,9], where studentsdiscussed solutions to important problems and presented their conclusions to the entire class afterabout 20 minutes of group deliberation. Two examples are given here to help convey outcomesintended by the course design. One problem concerns how IT can improve the delivery ofmedical care. The
EDG II arebenefiting from the emphasis that is placed on design and visualization as part of the en-gineering graphics curriculum, in which students are taught various hand and computer-based graphics techniques as tools for design rather than ends in themselves.ConclusionWWU’s Engineering Technology Department considers its engineering design graphicscourses to be the main foundation for the Manufacturing and Plastics Engineering Tech- Page 5.617.9nology, Industrial Technology, and Industrial Design programs. Students majoring inthese programs are expected to apply the skills they learn in engineering design graphicsin other courses throughout the
framework to connect and integrate the individual courses.This goal of the lab framework is to make students aware of the big picture, help them to connectthe individual subjects, and apply and integrate the previous learning in a new context. The labs cover the entire computer engineering curriculum, including freshman engineering,introductory digital systems, advanced digital systems, computer organization, embeddedsystems, hardware-software co-design, and senior capstone design. The complexities andabstraction levels of the experiments and projects gradually grow. The key concepts are repeatedin different courses with increasing sophistication and studied from different aspects andcontexts, such as hardware implementation versus software
National Institute for Deterrence Studies. ©American Society for Engineering Education, 2024 Characterizing Computing Students' Use of Generative AIAbstractWhile the discussion of Generative AI in education has been centered on academic integrity anduses in learning contexts from a teacher and administrator perspective, there is less workunderstanding students’ adoption, use, and perspectives on this new technology.This paper reports on a survey of 371 US college students taking computing courses. We firstasked what services are being used, how much they are paying for them, what they are usingthem for, and how long they have been using AI. We dig further into their use of AI tools in theirschoolwork by
AC 2009-1697: EXPERIMENTS WITH COMPUTER PASSWORD CRACKINGAND SHIELDING TECHNIQUESVeeramuthu Rajaravivarma, State University of New York, Farmingdale V. Rajaravivarma is currently with the Electrical and Computer Engineering Technology at SUNY, Farmingdale State College. Previously, he was with Tennessee State University,Morehead State University, North Carolina A&T State University, and Central Connecticut State University. Dr. Rajaravivarma teaches electronics, communication, and computer networks courses to engineering technology students. His research interest areas are in the applications of computer networking and digital signal processing.Cajetan Akujuobi, Prairie View A&M University
mustprovide effective computer literacy courses to meet the needs of students. Developing tools toassess learning outcomes is mandatory to ensure that students are gaining the computerknowledge and skills they need to be successful in their chosen fields of study.Programs have been developed for teaching computer literacy, but little has been done to testtheir efficacy. One problem in assessing such programs is that there is no generally accepteddefinition of computer literacy. The Webster's II New College Dictionary [3] defines computerliteracy as "the ability to use a computer and its software to accomplish practical tasks." Stewart[4] says computer literacy is "an understanding of the concepts, terminology and operations thatrelate to general
the class more interesting. Classes are held to assist individualstudents in learning what they need to know as opposed to the traditional lecture to all students.There are no exams and the student's grade is determined entirely from the work done onprojects.EE 356 is a required course in computer hardware/software taken by computer engineeringmajors in the first term of their junior year. The course is also open to electrical engineering andcomputer science majors as an elective. There are two prerequisites: students must havecompleted at least one programming course prior to taking EE 356, as well as a course in logic Page 24.1125.2design
386 TOWARDS A JOINT DEGREE PROGRAM IN AMBIENT COMPUTING1 Yusuf Ozturk*, Emrah Orhun**, Chris Bowerman*** Electrical and Computer Engineering, San Diego State University* Computer Science Department, Troy University** Department of Computing and Technology, University of Sunderland***Abstract ⎯ Funded by the US-EU Atlantis Program, International Cooperation in Ambient ComputingEducation (ICACE) Project is establishing an international knowledge-building community for
66 Computer Aided Spur Gear Design and Analysis Edward M. Vavrek Purdue University North CentralI. IntroductionThis paper describes a spur gear analysis program written in visual basic. The program is used toassist students to learn the procedures to size and select spur gears. The class that this is used inis called machine elements (MET-214). It is a second level mechanical engineering technologycourse. The student’s background coming in to this course includes statics, dynamics, andstrength of materials. The course covers topics related to mechanical design
hinder the learningof these concepts.MATLAB [5] is a powerful environment for linear algebra with graphical presentation [6], andis available on a wide range of computer platforms. Unlike a general-purpose language,MATLAB development goes much faster and code is dramatically shorter. In some regards, it isa higher language than most common programming languages like C or FORTRAN. MATLABis therefore a great computation environment for learning the fundamentals of computer graph-ics. Many MATLAB files have been developed in the past few years by the author and his stu-dents to help effectively presenting key concepts and visualizing these mathematical expres-sions.Parametric Representation of Analytical CurvesParametric representation of curves
Session 2220 A Java-based Computer Simulator and its Applications John K. Estell Bluffton CollegeAbstractThis paper describes a learning philosophy for computer science that is based on having studentswrite a simulation of a computer system, then adding features to the initial simulation that areappropriate for learning concepts being presented in a particular course. In the past the authorhas successfully utilized this method in teaching concepts related to CPU processor scheduling inan operating systems course1; however, as the simulation was written in a
background inmathematics, fluid dynamics, heat transfer, and programming, however, most of them were goodat computer aided design in ProE and were very interested in learning CFD as a design tool inindustries. STAR-CCM+ was chosen as the CFD software to teach students the entire CFDprocess in a single integrated software environment. After building a geometry model in ProE,students learned to import the CAD model, set up mesh model, physical model and solver, andpostprocess the results in STAR-CCM+. Based on projects, CFD numerical methods andfundamentals of heat transfer and fluid flow were introduced to help students understand theCFD process, interpret, and validate simulation results.IntroductionComputational fluid dynamics was introduced in the
statistics in terms of point estimates.Students learn how to compute central tendency statistics (mean, mode, median) and dispersionstatistics (standard deviation, variance, range). Page 14.911.5Interval Estimates (Confidence Intervals)Figure 1 is vital to understanding bootstrap methods for developing confidence intervals. In thisfigure, everything to the left of the brick wall is unknown. That is, we do not know thedistribution of the population data and we do not know the distribution of the statistic in question(in this case, the mean). By the central limit theorem, we know that the mean will be normallydistributed, but we do not know much else
AC 2011-988: RENEWABLE ENERGY REVIVES ELECTRONICS & COM-PUTER ENGINEERING TECHNOLOGYJoyce M.E. van de Vegte, M.A.Sc., Electronics & Computer Engineering Technology, Camosun College, Victo-ria, CanadaAlan P. Duncan, Electronics & Computer Engineering Technology, Camosun College, Victoria, Canada Page 22.1239.1 c American Society for Engineering Education, 2011 Renewable energy revives electronics & computer engineering technologyBackgroundConcerns about greenhouse gases and dwindling fuel supplies have given rise to aggressiveenergy efficiency
. His research focuses on diverse areas such as: D ©American Society for Engineering Education, 2024 Smart System Projects in Computer Engineering ProgramAbstractThe purpose of capstone design project courses is to provide graduating senior students with theopportunity to demonstrate understanding of the concepts they have learned during their studiesand to apply their professional skills and knowledge in a single experience and prepare them forwork in industry. As with many computer science and engineering programs, students of thecomputer engineering program at Utah Valley University (UVU) conclude their degree programswith a semester capstone design experience. The intent is for students to utilize
. He is interested in exploring how students learn computer science concepts and developing tools to assist them in the learning process ©American Society for Engineering Education, 2023 Teaching Computer Architecture with Spatial Ability Considerations1 IntroductionStudents’ spatial ability or ability to reason about visual images is highly correlated with successand retention in Science, Technology, Engineering, and Mathematics (STEM) fields. Wai et al.[1] found that this correlation is particularly strong for computer science and engineeringdisciplines[1]. Many studies indicate that female students have lower spatial ability than malestudents and wealthy students
. Page 11.632.9Variable 4: Amount of Computer Use The connection between computer use and positive attitudes and interest has been amplysupported by previous research15, 38. While experience with computers games has been shown tobe an important predictor of men’s interest in computer related fields40, this is not the case forour women respondents. Other research has shown, however, that experience with computerprogramming may be an important predictor of self-efficacy and success in a computer field forwomen. Learning a programming language is significantly associated for women with anincreased sense of computer competence28, 42. High school programming experience has alsobeen shown to be a significant predictor of women’s success in
Paper ID #15674Integrating Computer Engineering Labs with a ”Sound Theme”Dr. Pong P. Chu, Cleveland State University c American Society for Engineering Education, 2016 Integrating Computer Engineering Labs with a “Sound Theme”1. Motivation Recent engineering education studies call for change to enhance student learning and to betterprepare graduates to meet the new challenge1,2,3. A good engineer should have a deepunderstanding of a domain and can apply the knowledge to solve problems4. This requires twotypes of practices – the “component skill,” which is the knowledge of a specific domain, and the“integration skill
, and D. Christensen, PROJECT-BASED LEARNING IN A FRESHMAN COMPUTER GRAPHICS COURSE, Proceedings of the 2007 ASEE Annual Conference5. Jahangir Ansari, Design Experience in a Manufacturing Engineering Program, Proceedings of the 2010 ASEE Annual Conference. Page 23.319.7
not compulsory, not all students graduate taking with them the essentialconcepts and skills that the job market needs of them. Alternatively, select institutions havechosen to provide specialized undergraduate degree programs or tracks in computer security andinformation assurance. Although this approach serves well to educate the students with interestsfocused on the area, it doesn’t satisfy the security learning needs of the broader studentpopulation in Computer Science and Engineering.In this paper we discuss the two approaches to undergraduate instruction in computer securitydescribed above, to which we refer as the single-course approach and the track approach,respectively. We contrast these approaches with a third model of initiative
Electronic Instrumentation Background of Freshmen Computer Engineering Students Roy W. Melton Rochester Institute of TechnologyAbstractThe level of hands-on engineering experience tends to vary widely among beginning engineeringstudents. Whereas certain basic elements of academic preparation are guaranteed by programadmission criteria, they typically are not concerned with specific elements of a particularengineering discipline; rather, these criteria establish general aptitude and/or proficiency in mathand science. This paper analyzes a survey of the electronic instrumentation background of 2006computer engineering freshmen at