in 2008, and appointed as Associate Professor of Com- puting Education Research in May 2011. Roles at Uppsala University include appointment to the Univer- sity Academic Senate, Programme Director for the IT Engineering programme, member of the selection committee for the Uppsala University Pedgogy prize and as member of the educational advisory board of the Faculty of Technology and Natural Sciences. He has a strong interest in teaching and learning research in computer science and engineering, and leads the UpCERG research group in computing and engineering education research at Uppsala University. He has published more than 40 articles in the area internationally, and is well known as a computing education
Paper ID #22072P2P Platform for Peer Instruction in Flipped ClassroomDr. Yun Dai, University of Southern California Dr. Yun Dai is a postdoc research fellow in the Viterbi School of Engineering, at the University of Southern California, and also the program manager of the Viterbi iPodia Program (ViP). Her research interest broadly involves engineering education, learning technology, and global education.Tianmeng Li, University of New South WalesDr. Ang Liu, University of New South Wales Dr. Ang Liu is a senior lecturer at the School of Mechanical and Manufacturing Engineering, University of New South Wales, AustraliaDr
recently, as Vice Chair of ACM SIGSOFT and General Chair of the 38th International Conference on Software Engineering. She has participated in many CRAW and ACM mentoring events; is a founding adviser of MSU Women in Computing, the MSU ACM-W Chapter; and co-led TechKobwa, a technology camp for secondary-school teachers and female students in Rwanda, for three summers. She was awarded the ACM SIGSOFT Distinguished Service Award in 2017.Ms. Michelle Slattery, Peak Research Michelle Slattery has more than 30 years’ experience as a professional evaluator working with diverse clients on complex project evaluations. Her business, Peak Research LLC, is celebrating 25 years of providing services to evaluate S-STEM, BPC, RED
engineering and technology systems domains.Dr. Srikanth Venkatesan, California State Polytechnic University, Pomona Dr. Venkatesan is an assistant professor in Computer Information Systems department at Cal Poly Pomona. He received his doctorate degree from University at Buffalo, The State University of New York. His research interests include cloud computing, information assurance, health informatics, online social networks, social network analytics and e-commerce. His teaching expertise at the graduate level is in the area of cloud computing and internet of things. At the undergraduate level, he has taught object-oriented systems analysis and design, intermediate java programming, management information systems, statistics
, less than 5% of all adults employed in STEM are deaf [4]. The NationalScience Foundation [5] and National Academy of Engineering [6], [7] have started to encourageresearch initiatives in inclusion and diversification in undergraduate classes, especially inScience, Technology, Engineering, and Mathematics (STEM) fields. The NSF and NAE havemade these research initiatives a priority because studies have shown that teams that are diverseare more effective at problem solving [8], making decisions [9], and ultimately have a greaterimpact on the quality of science produced [10]. As William Wulf, former President of theNational Academy of Engineering, eloquently stated: “… creativity does not spring fromnothing; it is grounded in our life experiences
Paper ID #23282A Practical Approach to Cellular Communications Standards EducationDr. Vuk Marojevic, Virginia Tech Vuk Marojevic received his M.S. from the University of Hannover, Germany, and his Ph.D. from the Universidad Polit`ecnica de Catalunya—Barcelona Tech, Spain, both in electrical engineering. He joined Wireless@Virginia Tech in 2013, where he is currently a Research Assistant Professor. His research interests are in software-defined radio, spectrum sharing, 4G/5G cellular technology, wireless testbeds and testing, resource management, wireless security, and engineering education with application to mission
Paper ID #22737Expanding the Pool of Undergraduate Computing Students: Increasing En-rollments by Strategically Recruiting WomenDr. Zhen Wu, University of Colorado, Boulder Dr. Zhen Wu is a research scientist at National Center for Women & Information Technology (NCWIT) at University of Colorado Boulder. Her research interests emphasize the meaningful participation of women in computing. Her recent research focuses on recruitment, retention, and advancement of women in undergraduate computing and engineering programs. Dr. Wu received her Ph.D in Education from University of Virginia.Dr. Christopher Lynnly Hovey
to) Automata and Formal Languages. The goal is to get CS and other Engineeringstudents intrigued by how, for example, finite automata or context-free grammars are used incompilers and interpreters (parsing, lexical analysis), or the formal specification of programminglanguages -- as well as to the more recently emerged technologies, such as computational/appliedNatural Language Processing (NLP). Without sacrificing rigor, we try to present highlymathematical content in a manner that relates theoretical models and proofs of their properties topractical challenges in computer science and engineering. This shared mindset, as well as informaldiscussions and sharing our experiences of teaching theoretical and other “math heavy” computerscience
Paper ID #21251Teaching Directory Services: Topics, Challenges, and ExperiencesDr. Yu Cai, Michigan Technological University Dr. Yu Cai is an associate professor and program chair in the Computer Network and System Adminis- tration (CNSA) program at the School of Technology, Michigan Technological University. His current research interests include cyber security and medical informatics. He is particularly interested in applying his research and techniques to real-life applications. He has been a consultant to many companies includ- ing IBM and Ford. Dr. Cai serves in editorial boards of several international journals. He
; Donovan, S. S. (1999). Effects of small-group learning on undergraduates in science, mathematics, engineering, and technology: A meta-analysis. Review of educational research, 69(1), 21-51.Stump, G. S., Hilpert, J. C., Husman, J., Chung, W. t., & Kim, W. (2011). Collaborative learning in engineering students: Gender and achievement. Journal of engineering education, 100(3), 475-497.Van Zwanenberg, N., Wilkinson, L., & Anderson, A. (2000). Felder and Silverman's Index of Learning Styles and Honey and Mumford's Learning Styles Questionnaire: how do they compare and do they predict academic performance? Educational Psychology, 20(3), 365-380.Williams, L., Kessler, R. R., Cunningham, W., &
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 #22337Cloud Application Monitoring for Efficient Network Management in PublicSchoolsDr. John Pickard, East Carolina University Dr. Pickard is an Assistant Professor at East Carolina University in the College of Engineering and Tech- nology. He teaches undergraduate and graduate Information and Computer Technology (ICT) courses within the Department of Technology Systems. Dr. Pickard plays an active role in building positive and sustainable industry relationship between the college, local businesses, and industry partners. Current industry recognized certifications include; Cisco Certified Network Professional
correctsafety procedures in the virtual lab, often through trial and error, and are far less likely to repeat thoseerrors in future use of a real scanning electron microscope.1.0 IntroductionNanotechnology is the science, engineering, and technology that deals with various structures ofmatter that have dimensions on the order of a billionth of a meter. Nanotechnology is the abilityto observe, manipulate, measure, and manufacture things at the nanoscale, which is about 1 to100 nanometers. While the word nanotechnology is new and was introduced in the late 1970s,the existence of functional devices and structures of nanometer dimensions is not new, andactually such structures have existed on earth as long as life itself [1].The idea behind nanoscience and
Paper ID #22145A Methodology for Automated Facial Expression Recognition Using FacialLandmarksMr. Justin Daniel Josey, Robert Morris University Software Engineering Education researcher and Senior at Robert Morris University. Interested in machine learning and artificial intelligence, specifically as it applies to Image Recognition.Dr. Sushil Acharya, Robert Morris University Sushil Acharya, D.Eng. (Asian Institute of Technology) is the Assistant Provost for Research and Gradu- ate Studies. A Professor of Software Engineering, Dr. Acharya joined Robert Morris University in Spring 2005 after serving 15 years in the
received a Ph.D. in computer and information science from The Ohio State University in 1990. c American Society for Engineering Education, 2018 The Value of ABET Accreditation to Computing Programs Michael J. Oudshoorn Rajendra K. Raj High Point University Rochester Institute of Technology Stan Thomas Allen Parrish Wake Forest University United States Naval AcademyAbstractInstitutional accreditation by regional or national accreditation organizations provides assurancethat a university as a whole provides quality education. However, it does not look specifically atthe quality of each
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
,according to Burning Glass researchers (http://burning-glass.com), approximately 50% ofall high-paying jobs (>$58,000) require some level of computer programming skills.While computing and information technology fields are enjoying a rapid economicgrowth, the number of US students graduating from computer science (CS) and/or closelyrelated fields has not kept pace with this growth due to high attrition rates in CSprograms2. This problem is even more acute in minority serving institutions, particularlyHBCUs as reported in New York Times3 that the percentage of African Americanstudents graduating in computer science and engineering was only 6% of all recentgraduates. Thus, it is important for computer science programs, particularly in
interests in Expert Systems, Knowledge Representation, Encrypted File Analysis, Computer and Network Security. Dr. Karabiyik is the creator of open source digital forensics tool called Automated Disk Investigation Toolkit (AUDIT). Dr. Karabiyik is a recipient of NIJ Grant on Targeted Data Extraction from Mobile Devices. One of his recent work has received the ”Best Paper Award” at the IEEE 4th International Symposium on Digital Forensic and Security (ISDF). In addition, Dr. Karabiyik is leading the Mobile Forensics and SCADA Forensics Labs at SHSU.Naciye CelebiDr. Faruk Yildiz, Sam Houston State University Faruk Yildiz is currently an Associate Professor of Engineering Technology at Sam Houston State Uni- versity
(and potentially other, such as business) skills? It turns out, it can mean a range ofdifferent things; here are some of the most common examples: A traditional or not-so-traditional Business Analyst; An expert on database technologies, esp. the most common relational database systems (DBMS), usually combined with some distributed data technologies and techniques, such as Hadoop and MapReduce; A research-level expert in Machine Learning (ML) and Data/Pattern Mining; A good Software Engineer with some expertise and experience in using ML and Data Mining tools and products, but not necessarily someone with research skills in ML; An Applied Statistician, usually with strong background in statistical
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
numerous international workshops on student-centered learning and online learning-related topics during his service. Dr. Lawanto’s research interests include cognition, learning, and instruction, and online learning.Kamyn Peterson-RuckerAlia MelvinMr. Shane E. Guymon c American Society for Engineering Education, 2018 Does Everyone Use Computational Thinking? - A Case Study of Art and Computer Science MajorsAbstract In this digital age, being computer literate and having computer science skills areessential, especially since most real-life solutions are technology-driven. Many K-12 and highereducation institutions, states, and countries incorporate computational thinking (CT
buildings and smart cities. She has extensive experience with heterogeneous system’s software design (Secure SDLC), threat modeling, security and risk analysis, penetration testing. She is also responsible for coordinating and managing the incident response process for the advanced building automation sys- tems and solutions. She received an MS degree in Security Technologies | Cybersecurity in Technology Leadership Institute University of Minnesota.Dr. Faisal Kaleem, Metropolitan State University Dr. Faisal Kaleem received his Ph.D. in Electrical Engineering from Florida International University (FIU), Miami, FL. Since 1998 he has served as an educator in different academic institutions. Currently, he is serving as an
% to 40% of new graduates in science, technology, engineering, and mathematics(STEM), business, and any field involving quantitative analysis would have to become thesedata-literate managers and analysts, in order to meet the United States demand of two to fourmillion by 2024 [2]. The authors stress the importance of data visualization to support decision-making. To add to the complexity, some workers can and will take on more than one role,especially in small and medium-sized organizations.What we have referred to as ‘workforce needs’ may be more correctly characterized as growthpotential, in the sense that most industries are still capturing only a fraction of the potential valuefrom data and analytics [2]. Beyond considerations about
Paper ID #23139Magnitude Museum: Game-based Learning for Nanosizes, Dimensions, andNanotechnology TerminologyDr. Reza Kamali-Sarvestani, Utah Valley UniversityBrian Durney, Utah Valley University Brian Durney teaches computer science at Utah Valley University. His research interests are educational games and game AI. c American Society for Engineering Education, 2018 Magnitude Museum: Game-Based Learning for Nanosizes, Dimensions, and Nanotechnology TerminologyAbstractMagnitude Museum is an educational game that helps students develop a sense of scale andunderstand the
Paper ID #23065Modernizing Capstone Project: External and Internal ApproachesProf. Karen H. Jin, University of New Hampshire Karen H. Jin has been an Assistant Professor of Computer Science in Computing Technology program at UNH Manchester since Spring 2016. She previously taught as a lecturer for over ten years in University of Windsor and Dalhousie University. Her interest in computer science education research focuses on devel- oping new empirically supported theories and practices in teaching programming, software engineering and project-based learning with industrial relevance. She received her Ph.D. and M.Sc. in
been appliedto various fields including computer vision, speech recognition, natural languageprocessing, audio recognition, social network filtering, machine translation, bioinformaticsand drug design4. Deep learning is an interesting topic in higher education and manytalented students in the Science, Technology, Engineering, and Mathematics (STEM)programs are eager for hands-on experience and application that is related to deep learning.As a HBCU, Central State University is a relatively small institution with a large diversepopulation of undergraduate students. Funded by an 1890 Land Grant Research Project IIIin 2017, we are developing deep learning based image classification and object detectionsystems that can be used in automated plant
is currently an assistant professor in the Industrial and Manufacturing Systems Engineering department at Iowa State University, as well as Associate Director of ISU’s Virtual Reality Application Center and its Graduate Program in Human Com- puter Interaction. His research focuses on technology to advance cognition, including interface design, intelligent tutoring systems, and cognitive engineering.Jamie Payton, Temple University Dr. Jamie Payton is an Associate Professor of Computer and Information Sciences at Temple Univer- sity. She received her Ph.D. in Computer Science at Washington University in St. Louis in 2006. Her research interests include crowdsensing, smart and connected health, and software
, 2018Leveraging the power of Matlab, SPSS, EXCEL and Minitab for Statisticalanalysis and inferenceAbstractFor many undergraduate and graduate engineering technology students, data collectionand data analysis—including methodology, statistical analysis, and data preparation—is the most daunting and frustrating aspect of working on capstone senior projects andmaster’s theses. This paper provides an introduction to a number of statisticalconsiderations, specifically statistical hypotheses, statistical methods, appropriateanalytic techniques, and sample size justifications. Statistical analysis of data utilizingstatistical software packages, including MATLAB, SPSS, Minitab, EXCEL, and R,will be shown for scientific applications, quality assurance, corporate
Paper ID #23981Hands-on Labs and Tools for Teaching Software Defined Network (SDN) toUndergraduatesDr. Emil H. Salib, James Madison University Professor in the Integrated Science & Technology Department at James Madison University. Current Teaching - Networking & Security and Cross Platform Mobile Application Development. Current Re- search - Private Cloud Computing, Mobile IPv6 and Design for Motivation CurriculumMr. John David Lester c American Society for Engineering Education, 2018 Hands-on Labs and Tools for Teaching Software Defined Network (SDN) to undergraduates
Paper ID #23997Implementation of Big Data Lab for Broadband Wireless Networks Intelli-gent Traffic Management System: Evaluation and ChallengesDr. Tamer Omar, California State Polytechnic University, Pomona Tamer Omar is an Assistant professor with the Electrical and Computer Engineering Department at Cal- ifornia State Polytechnic University. Dr. Omar earned his Ph.D. from the Electrical Engineering depart- ment at Iowa State University, USA and his MBA with emphasis on MIS from the Arab Academy for Science and Technology, Egypt and his B.S. degree in Electrical Engineering from Ain Shams University, Egypt. Dr. Omar