Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Radana Dvorak, Saint Martin's University; Farzin Bahadori, Saint Martin's University

Tagged Divisions

Computing and Information Technology Division (CIT)

Paper ID #42852Leveraging Open Source Tools to Teach Quantum Computing Foundations:Bridging the Future Workforce Gap in the Quantum EraDr. Radana Dvorak, Saint Martin’s University Radana Dvorak Ph.D. has worked as a researcher, professor, dean, consultant, and program architect. Her Ph.D. in CS-AI and MSc-AI from the UK, and BA from the University of Michigan, have led her to the UK, US, and the Cayman Islands. Radana spent time in the software industry, headed a VC-funded company bringing her PhD work to market, served on government, university strategic planning committees, and international fellowships; she was one of the

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tarik Eltaeib, Farmingdale State College ; M. Nazrul Islam, State University of New York; Qinghai Gao

Tagged Divisions

Computing and Information Technology Division (CIT)

laboratories for cybersecurity. Sensors, 2020. 20(11): p. 3011.8. Vigna, G., Teaching hands-on network security: Testbeds and live exercises. Journal of information warfare, 2003. 2(3): p. 8-24.9. Li, C., et al. BAC: Bandwidth-aware compression for efficient live migration of virtual machines. in IEEE INFOCOM 2017-IEEE Conference on Computer Communications. 2017. IEEE.10. Helali, L. and M.N. Omri, A survey of data center consolidation in cloud computing systems. Computer Science Review, 2021. 39: p. 100366.11. Li, B., B. Li, and F. Liu, Cloud and data center performance [Guest Editorial]. IEEE Network, 2013. 27(4): p. 6-7.12. Topham, L., et al., Cyber security teaching and learning laboratories

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Erwin Karincic, Virginia Commonwealth University; Lauren Linkous, Virginia Commonwealth University; Erdem Topsakal, Virginia Commonwealth University

Tagged Divisions

Computing and Information Technology Division (CIT)

of network professionals.References[1] E. Lampi, “The Effectiveness of using Virtual Laboratories to Teach Computer NetworkingSkills in Zambia,” Ph.D dissertation, Career and Technical Education, Virginia PolytechnicInstitute and State University, Blacksburg, VA, USA, 2013. [Online]. Available:https://www.proquest.com/docview/1512636920[2] J. Allison, “Simulation-based learning via Cisco Packet Tracer to enhance the teaching ofcomputer networks,” Proceedings of the 27th ACM Conference on Innovation and Technology inComputer Science Education Vol. 1, Jul. 2022. doi:10.1145/3502718.3524739[3] S. Asadi, J. Allison, M. Khurana, and M. Nilashi, “Simulation-based learning for computerand networking teaching: A systematic literature review and

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yumin Zhang, Southeast Missouri State University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

and Computer Engineering havebeen called upon to teach certain CS courses. From their standpoint, there appears to be adisparity between software and hardware, with CS students often lacking fundamental awarenessof the digital circuits that form the backbone of software operations. While courses in computerorganization and architecture are the most relevant in addressing hardware aspects, their primaryfocus tends to be on register-transfer level optimizations [1-3].To furnish CS students with a comprehensive understanding of computer systems from theground up, we offer a course that commences with the fundamentals of basic logic gates. Asshown in Fig. 1, it covers layers 4-7 on logic gates, digital circuits, micro-architecture, and ISAthat

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Barry M. Lunt, Brigham Young University; Mudasser Fraz Wyne, National University; David A Wood, Brigham Young University

Tagged Divisions

Computing and Information Technology Division (CIT)

Modeling Leveraging Machine Learning Techniques to Analyze 17 2020 Computing Persistence in Undergraduate Programs A Comparison of Network Simulation and Emulation 15 2016 Virtualization Tools Implementing Building Information Modeling in 14 2011 Construction Engineering Curricula Teaching Modern Object-Oriented Programming to the 14 2014 Blind: An Instructor and Student Experience Since neither downloads nor citations are perfect measures of impact, we combined thetwo scores and present the top 10 rated papers in Table 6. Table 6 largely shows that downloadsdrives the final scores for impact

Conference Session

Computing and Information Technology Division (CIT) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sreekanth Gopi, Kennesaw State University; Nasrin Dehbozorgi, Kennesaw State University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

concerns and family responsibilitiesas key factors affecting students’ mental well-being, with many students juggling multiple responsibilities alongsidetheir academic pursuits ([34]).Development of rPPG Technology In the development of rPPG technologies, significant challenges arise in real-time data acquisition and processing,particularly when integrating with systems like LLMs. One of the key challenges has been adapting rPPG algorithmsto work effectively across diverse demographics and in various environmental conditions, as traditional connectedPPG algorithms often focus on homogenous subject groups in stationary laboratory settings. Recent advancementsin rPPG have enhanced its accuracy and adaptability, particularly in varied environmental