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Conference Session
Software Engineering Division (SWED) Technical Session 3
Collection
2025 ASEE Annual Conference & Exposition
Authors
Lynn Vonderhaar, Embry-Riddle Aeronautical University; Alexandra Davidoff, Embry-Riddle Aeronautical University - Daytona Beach; Sarah A Reynolds, Embry-Riddle Aeronautical University - Daytona Beach; Omar Ochoa, Embry-Riddle Aeronautical University - Daytona Beach; Massood Towhidnejad, Embry-Riddle Aeronautical University - Daytona Beach
Tagged Topics
Diversity
Tagged Divisions
Software Engineering Division (SWED)
Paper ID #47891Academic Service Projects Best Suited to Scrum: A Service Committee CaseStudyLynn Vonderhaar, Embry-Riddle Aeronautical University Lynn Vonderhaar is a Ph.D. student in the Department of Electrical Engineering and Computer Science at Embry-Riddle Aeronautical University in Daytona Beach, FL, USA. Lynn is conducting research with her peers on the use of Scrum to manage departmental committee projects.Alexandra Davidoff, Embry-Riddle Aeronautical University - Daytona Beach Alexandra Davidoff is a Master’s student in Software Engineering at Embry-Riddle Aeronautical University. Alexandra’s research explores the
Conference Session
Software Engineering Division (SWED) Technical Session 2
Collection
2025 ASEE Annual Conference & Exposition
Authors
Afsaneh Minaie, Utah Valley University; Reza Sanati-Mehrizy, Utah Valley University
Tagged Divisions
Software Engineering Division (SWED)
fossil fuels.The rapid expansion of electric vehicles has created a growing demand for engineers withexpertise in this field. There is a recognized need for a large, well-trained workforce capable ofconducting research and development projects in electric vehicle technology. However, thedesign and implementation of electric vehicles are not yet well represented in mostundergraduate academic programs.To better prepare our electrical and computer engineering students for careers in this evolvingindustry, we encourage them to select capstone projects related to electric vehicles. This paperpresents two representative electric vehicle-oriented capstone projects undertaken by students inthese two programs, showcasing their efforts to gain hands-on
Conference Session
Software Engineering Division (SWED) Technical Session 2
Collection
2025 ASEE Annual Conference & Exposition
Authors
Ingrid Buckley, Florida Gulf Coast University; Bogdan Carbunar, Florida International University; Juan P Sotomayor, Florida International University; Peter J Clarke, Florida International University
Tagged Divisions
Software Engineering Division (SWED)
paper describes our experiences conducting a collaborative cybersecurity project to increaseaccess to undergraduate cybersecurity education. The project was funded by the NSF and CyberFlorida. The project was a collaboration between two Florida public universities. One univer-sity is a large urban Hispanic-Serving Institution. We describe how the Software Engineering andProgramming Cyberlearning Environment (SEP-CyLE), in conjunction with other cybersecuritysystems, was used to develop basic cybersecurity materials, labs, and activities for undergradu-ate students and instructors. SEP-CyLE motivates students to learn in an interactive environmentwhere they can provide feedback to their peers while employing three learning and
Conference Session
Software Engineering Division (SWED) Technical Session 4
Collection
2025 ASEE Annual Conference & Exposition
Authors
Christopher Lukas Kverne, Florida International University; Federico Monteverdi, Florida International University; Agoritsa Polyzou, Florida International University; Christine Lisetti, Florida International University; Janki Bhimani, Florida International University
Tagged Divisions
Software Engineering Division (SWED)
Paper ID #48456Course-Job Fit: Understanding the Contextual Relationship Between ComputingCourses and Employment OpportunitiesChristopher Lukas Kverne, Florida International University Christopher Lukas Kverne is an undergraduate researcher pursuing a B.S in Computer Science, plus a minor in Mathematics, with a cumulative GPA of 3.86. His research interests lie Deep learning, Optimization and Quantum Machine learning where his goal is to optimize training processes and reduce the computing power needed to develop powerful models. Christopher has led multiple projects in ML, Systems and Quantum research and will