engineering and hands-on laboratory-based experi-ences early in their college experience, students may use critical thinking tomake informed decisions in the selection of hardware, which will collectivelyget them exposed to expenses in computer science and engineering programs.A simplified syllabus for this course has been shared as an attachment. This article provides details of a revised computer organization and ar-chitecture course, offered primarily to sophomore students in a school ofcomputer science and engineering course with six undergraduate major pro-grams. After this first offering of this redesigned course, overall approvalrates have improved for this course. This first offering of this course was af-fected by the COVID-19
. Groza, and S. Bixwas, “Sensor Based Home Automation and Security System”, February 5, 2018 6. H. Huang, S. Xiao, X. Meng, and Y. Xiong, “A Remote Home Security System Based on Wireless Sensor Network and GSM Technology”, February 5, 2018 7. “Safer. Smarter. Z-Wave”, Z-Wave, Silicon Laboratories, http://www.z-wave.com/, February 5, 2018. 8. Blynk. Retrieved April 08, 2018, from http:docs.blynk.cc/ . 9. https://www.geekstips.com/temperature-sensor-dht22-ds18b20-arduino-tutorial/, Accessed on April 2018.10. https://www.google.com/search?q=arduino+light+sensor&safe=active&source=lnms&tb m=shop&sa=X&ved=0ahUKEwiCm43PqLraAhVjx1QKHeIwBpsQ_AUICigB&biw=16 82&bih=921#spd=0, accessed on April
lostfrom normal industrial mechanism processes thereby save energy and promote the modulardesign for satellites and space applications. It furnishes an alternative route for green energy withrenewed design emphasis on semi-conductor technology instead of traditional analogmechanization. Finally, the results of the survey analyzing this learning methodology will also bediscussed. This will go a long way in motivating engineering technology students to conductpotential future research, and reinforcing the best practices for life-long learning.BackgroundEngineering departments are often confronted with the necessity to update laboratory exercisesand equipment with the latest emerging technological trends within tight budget constraints.Another
setting [7]. A kernel tracing tool has beenused in explaining the concepts in the GNU/Linux Operating System. The target is not really anRTOS, however, the method reveals that understanding the internal mechanism is the key tounderstand any operating system [8]. A focus on the networking aspect of the RTOS kernel wasexplained by teaching the CAN bus. The emphasis was to make clear the networking part of theRTOS [9]. Laboratories were developed for teaching RTOS. For example, a virtual machineenvironment was introduced to reduce the setup time [10]. A commercial grade open sourceRTOS, FreeRTOS, was taught to show the deployment of RTOS. The emphasis was on using theFreeRTOS but not designing an RTOS [11]. The approach in [11] is a “top-down
Paper ID #29171Cyber-Physical Systems Security Introductory Course for STEM StudentsProf. Sin Ming Loo, Boise State University Sin Ming Loo is a professor at Boise State University with interests in sensor systems and cyber-physical systems security research and education. He is responsible for Hartman Systems Integration and Cyber Lab for Industrial Control Systems laboratories. He holds a joint appointment with Idaho National Lab. He is a member of IEEE/CS, ISSA, Tau Beta Pi, and amateur radio (KI4AKS). nLiljana Babinkostova c American Society for Engineering Education, 2020 Cyber-Physical
support staff, enabling issues to be addressed before being reported by endusers.KeywordsUndergraduate laboratories, undergraduate projects, user experience, network analytics, K-12schools, technology management, cloud services, performance monitoring© American Society for Engineering Education, 2018 2018 ASEE National ConferenceProblem statementK -12 schools across the nation are moving the resources that their information technologydepartments once provided locally, to Cloud Services offered by many different providers [1],[2], [3]. A 2013 study by the Fordham University, Center for Law and Information Policy,conducted a nationwide survey of school districts to determine the prevalence of cloud servicesin the
13 Semester Project Report 14 Lab Final (No lab assignment) 3.4 Lab Environment The DS course uses one of the dedicated CNSA laboratories for its lab assignments. The lab contains 22 desktop workstations. All workstations are updated Dell OptiPlex server with 2G RAM. There is also a server farm mounted on a computer rack with another 20 workstations, which is used in other courses. We utilize Virtual Machines (VMWare [6] and VirtualBox [8]) to set up a lab environment for students. Each of the 22 host machines runs VMWare Server, and students do all of their work in virtual machines. Figure 2 shows lab setup. There is a virtual test bed with
) Robotics competitions (such as RoboCup, IDC Robocon, ROBOTAC) and internships in technology companies and laboratories can also offer chances to think computationally in engineering practices. Table 3. CT Components in Courses Modeling Complex Digital DigitalEducation Model Examples and Problem Literacy Leadership Simulation Solving Fundamentals of
project-based learning pedagogy. Someissues implemented in project-based approach are addressed (Khorbotly, 2015). Luo presentedan on-going multiple-project-based pedagogy in electrical and computer engineering program. Inthis course, a sequence of well-prepared projects was assigned to students to cover various topicsto help student learning for enhancement of research skills (Luo, 2015). Behrouzi and Kuchmaaddressed an inquiry-based learning pedagogy used in a freshman civil and structuralengineering curriculum with an equipment-light laboratory course (Behrouzi and Kuchma, 2016).Active-based learning is a learning protocol, in which teaching strives to involve students in thelearning process more directly than in other methods (Luo, 2015). It
)FRESHMAN ENGT - 1000 CSET - 1100 EET - 2420 PHIL – 1010 ENGL - 1110 Introduction to Social Science15 Intro to CSET Instrumentation Introduction to English Engineering Elective [3] [4] Laboratory [1] Logic [3] Composition I [3
Paper ID #33690Impact of Flipped Classroom Model on High-workload and Low-incomeStudents in Upper-division Computer ScienceDr. Alberto Cureg Cruz, California State University, Bakersfield Dr. Cruz is an Assistant Professor of Computer Science, Principal Investigator of the Computer Percep- tion Laboratory (COMPLAB), and board member of the Center for Environmental Studies (CES) at the California State University, Bakersfield (CSUB). He received the B.S in Electrical Engineering from the University of California, Riverside (UCR) in 2008 and the Ph.D. in Electrical Engineering from UCR in 2014 as a Fellow of the NSF
the program. There must be a suf- ficient number of faculty and they must have sufficient responsibility and authority to improve and implement the program.7. Facilities All facilities (classrooms, offices, laboratories, and associated equipment) must be adequate to support the attainment of the student outcomes. Modern tools, equip- ment and resources must be available to the students, and they must be systemati- cally maintained and upgraded.8. Institutional Institutional support and leadership must be adequate to ensure the continuity of the Support program. Institutional resources provided to the program must be
MATLAB, aprogramming language used mainly by engineers. MATLAB Grader is web-based and allows forinstructors to write their own exercises and tests.AGTs have multiple applications in computer science classrooms, and typically are used to allowthe students to get extra problem solving practice. Common ways to use AGTs are for: an in-classactive learning supplement 8,9 , as a laboratory grading platform, and as assignedhomework 8 .AGTs have been shown to benefit student performance in several regards. Courses that haveimplemented AGTs have experienced reduced dropout rates 10 . In the case of two ArgentinianUniversities, an early drop-out rate decreased from 28% to 14% and 58% to 35% respectively 8 .The improvements in student retention and
isachievable with a bachelor’s degree is fueling student interest in computer science as a major.Students are highly motivated to learn as they enter their first programming course, CS1 [2]. Yet,the pass rate for CS1 courses has been reported to be as low as 67% [3]. Many possible reasonsfor high attrition have been proposed ranging from inadequate advising to poorly-designedactivities in CS1 laboratories to insufficient opportunities for meaningful practice with formativefeedback [4]. Increased student engagement in introductory programming courses may be oneroute to increasing retention in CS1 courses.Collaboration, gamification, and social interaction are considered to be three pedagogicalstrategies which aid in engaging students in learning
Characteristics of World-Wide- Web Client Proxy Caches. USENIX Symposium on IT and Systems. Vol. 997. 1997.4. Murlimanohar N, Balasubramonium R, Jouppi N.P. CACTI 6.0: A Tool to Model Large Caches. HP Laboratories, 20095. Todd Austin, SimpleScalar LLC, www.simplescalar.com6. S. Przybylski, M. Horowitz, J. Hennessey. Characteristics of performance-optimal multi-level cache hierarchies. ACM SIGARCH Computer Architecture news, June, 19897. Conte T.M., Hirsch M.A., Hwu W. Combining Trace Sampling with Single Pass Methods for Efficient Cache Simulation. In: IEEE Transactions on Computers, 19988. Sugumar R, Abraham S. Set Associative Cache Simulation Using Generalized Binomial Trees. In: ACM Transaction on Computer Systems, 2005.9
National Laboratory). He holds three USPTO patents (IP of Cisco Systems). In addition to a doctorate in Computer Science, Predrag Tosic holds three master’s degrees, two in math- ematical sciences and one in CS. Tosic has a considerable teaching and student research mentoring expe- rience. He has enjoyed working with students of a broad variety of ethnic, cultural and socio-economic backgrounds and at different types of academic institutions. He has been actively involved with IEEE – the Palouse Section and is currently President of the Section’s Computer Society. He is also an active member of ACM, ASEE and AMS.Dr. Julie Beeston, University of Idaho Dr. Julie Beeston has both a Master’s degree (from Carleton University
students are thought of as the main customers andbeneficiaries of the education process, research outcomes are typically of interest to the grantingorganization and the community at large [41].Academic Advising: When discussing academic advising, the inadequacy of tools used toevaluate student performance and improvement needs presents a main challenge to providingproper input for any CI effort [19]. The current main input for the academic advising CI processis student evaluations and satisfaction surveys, feedback that advisors should definitely reviewdespite its documented shortfalls [20].Facilities: Facilities such as buildings, classrooms, and laboratories are the main locations wherethe education process takes place. In academic computing
see how toimprove the set of questions.The third stage is question prioritization. The instructor should provide some criterion or set ofcriteria on which to prioritize the questions. Some options include propensity for exploration,relevance to the topic, importance to the topic, question complexity, or level of student interest.The criteria selected by the instructor should be related to the desired purpose for which thequestions will be used. Some options for the purpose of the generated questions include aresearch paper, design project introduction, laboratory hook, or topic motivation [13].3. Datasets and Proposed ApproachThe QFT data from five labs of the EC course are questions provided in response to a thought-provoking topic expressed
college experiences and outcomes,” The review of higher education, vol. 27, no. 1, pp. 45–73, 2003.[36] J. F. Zaff, K. A. Moore, A. R. Papillo, and S. Williams, “Implications of extracurricular activity participation during adolescence on positive outcomes,” Journal of Adolescent Research, vol. 18, no. 6, pp. 599–630, 2003.[37] J. L. Stephan, E. Davis, J. Lindsay, and S. Miller, “Who will succeed and who will struggle? predicting early college success with indiana’s student information system. rel 2015-078.” Regional Educational Laboratory Midwest, 2015.[38] J. B. Main, K. J. Mumford, and M. W. Ohland, “Examining the influence of engineering students’ course grades on major choice and major switching behavior,” International
government research lab (Los Alamos National Laboratory). He holds three USPTO patents (IP of Cisco Systems). In addition to a doctorate in Computer Science, Predrag Tosic holds three master’s degrees, two in math- ematical sciences and one in CS. Tosic has a considerable teaching and student research mentoring expe- rience. He has enjoyed working with students of a broad variety of ethnic, cultural and socio-economic backgrounds and at different types of academic institutions. He has been actively involved with IEEE – the Palouse Section and is currently President of the Section’s Computer Society. He is also an active member of ACM, ASEE and AMS.Dr. Julie Beeston, University of Idaho Dr. Julie Beeston has both a