Paper ID #22725Work in Progress: Designing Laboratory Work for a Novel Embedded AICourseDr. Mehmet Ergezer, Wentworth Institute of Technology Mehmet Ergezer (S’06) received the B.S. and M.S. degrees in electrical and computer engineering from Youngstown State University, Youngstown, OH, USA, in 2003 and 2006, respectively. He received the D.Eng. degree in artificial intelligence from the Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, OH, USA, in May 2014. From 2003 to 2005, following his internship with U.S. Steel, he was a Graduate Assistant with Youngstown State University. In
technical program committee (TPC) member of high quality international conferences in Digital Forensics and Security. c American Society for Engineering Education, 2020 Internet of Things Forensics in Smart Homes: Design, Implementation and Analysis of Smart Home Laboratory Shinelle Hutchinson, Yung Han Yoon, Neesha Shantaram, and Umit Karabiyik {hutchi50,yoon127,nshantar,umit}@purdue.edu Department of Computer and Information Technology Purdue UniversityAbstractThe Internet of Things (IoT) has skyrocketed to the forefront of everyone’s lives, whether theyknow it or not. IoT devices
this paper are available forother schools that would like to use and/or modify for their own purposes.[1]IntroductionAdministrative tasks like scheduling require substantial work doing iterations of menialtabulations, analysis, and revision. Most colleges and universities have software that helps withthese tasks, but it is not well suited to a technical curriculum with extensive prerequisites,laboratory/equipment/software constraints, and faculty availability. The result is a lot of manualprocessing of spreadsheets and timetables.At Western Carolina University (WCU) there are five residential undergraduate programs thatshare a number of courses. In addition, there are two undergraduate programs that are offeredoff-campus and a residential and
programmable data plane switches.Mr. Jose Gomez, University of South Carolina Jose Gomez is a Computer Engineering PhD student at the University of South Carolina in the United States of America. For the last three years, he worked as a researcher and teaching assistant in the School of Engineering at the Catholic University in Asuncion.Antonio Mangino, The University of Texas at San Antonio Antonio Mangino is currently pursuing a Master’s degree in Information Systems and Cyber Security at The University of Texas at San Antonio. He received his B.S. in Computer Science from Florida Atlantic University (FAU) in 2019. As a member of the Cyber Threat Intelligence Laboratory at Florida Atlantic
transition from thetraditional physical laboratory to the online virtual laboratory. Before the pandemic, we alreadygradually adopted more and more virtual labs. Students log in to a virtual environment,consisting of one or more virtual machines, to perform hands-on exercises. They do not need togo to an on-campus lab at a fixed time. Students can do the virtual labs at any place and at anytime. Virtualization makes it possible for students to do some labs which are otherwiseunavailable in a traditional environment. In many courses with a lab component, F2F sectionsand DE sections shared the same virtual lab environment already, making the transition fromface-to-face to online easier.As described in papers previously [3]-[4], different virtual lab
Fluid Mechanics for annotating an online text and journals papers, with bothprompts by the faculty member seeding the annotation process, along with requirements forstudents to post and respond to questions or annotations made by others. The machine-learningalgorithms that are built into Perusall automatically grade student comments. The instructor canverify that the grade is consistent with their assessment.Referring to their annotated class notes, text, and optional online references, students can applytheir knowledge to design networks and step through the process of configuring network devicesin laboratory activities. As part of the reviews for exams, students can also annotate their classnotes, and their annotated textbook as well. In
stronger than imagined. system for achieving this end goal. ● Lack of User Knowledge and Awareness: the sophisticated functionality of IoTs requires Our study aims to create a guideline for establishing serious awareness of the threats and reasonably affordable, relevant IoT cybersecurity vulnerabilities [16], [17]. Users’ lack of laboratories configured primarily for use at teaching knowledge can make them victims of social institutions. Furthermore, we deliver a set of engineering attacks. algorithms that can be used to better
research scientist at the Canadian Nuclear Laboratories (CNL) from 2013 through 2017. In addition, he was employed at Motorola as a senior soft- ware engineer from 2003 through 2007, and IBM from 2011 through 2013. He received his B.S. and M.S. degrees from Sichuan University, China in 2000 and 2003, respectively, and his Ph.D. degree from Southern Illinois University Carbondale in 2011. His research interests include high-performance com- puting, computer architectures, real-time systems, and wireless sensor networks. He has published over 30 peer-reviewed research papers. American c Society for Engineering Education, 2020 Undergraduate Summer Research in
and howthey can advance to more sophisticated scenarios. Like a computer game, students become excitedto improve their level of knowledge and go beyond a simple laboratory. They develop the datamodel, implement a base, then improve to intermediate and advanced models. Like a game, severalstudents often go beyond and develop additional scenarios of their own interest.1. IntroductionSimulation in education is a well-known and an established field. Engineering education, defensetraining, and medical exercises are a few noticeable examples. As part of the degree requirements,engineering students often learn how to use modeling and simulations for their future workplaces.Whether designing and constructing bridges, buildings, auto vehicles
valuable addition tothe electrical engineering curriculum.We argue that the reasons behind the technical choices, their impact on the resource consumptionand the performance versus flexibility tradeoffs are relevant for cellular communicationsstandards education. Moreover, project management, team work, development of realisticexpectations and practical solutions are skills that are much demanded by industry in addition todomain-specific technical specialization. We therefore propose a methodology for teachingstandards that creates favorable conditions for developing those skills.The combination of lecture-centered education [2] with laboratory-centered approaches [3], [4],has been adopted in the engineering curriculum when the Conceive, Design
the semester during theregularly scheduled laboratory sessions, which are otherwise used for the implementation ofcoding concepts and development of programming skills through interactive group activities andcode-writing exercises. The coding interviews provided an opportunity for each student to meetindividually with a Teaching Assistant (TA) or Instructor to discuss the core programmingconcepts of the course in the context of code that the student wrote for a previous assignment.The TAs were trained to keep the interviews as an informal discussion focused on the codingconstructs implemented in the student’s code with primary goals as follows: • To ensure each student is developing fundamental programming skills and to flag those
internalpassion and help to create a better programmer, a better engineer, a better team member, andbetter person.About the CourseThe introductory programming course (ECCS 1611 Programming 1) at Ohio NorthernUniversity (ONU) consists of one-semester four-credit courses. The course consisting of three50-minute lectures plus a 165-minute laboratory for 15 weeks. Programming 1 is offered in thefall term and focuses on using C++ to implement small programs exercising concepts insequencing, selection, iteration, pointers, basic data structures, and an introduction to Object-Oriented Programming (OOP) design. This course, normally taken in the first year, is requiredfor all ONU students majoring in computer science, computer engineering, or
. 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
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
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
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