Conference Session

Software Engineering Division Technical Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Bruce R Maxim, University of Michigan, Dearborn; Sushil Acharya, Robert Morris University; Stein Brunvand, University of Michigan-Dearborn; Marouane Kessentini, University of Michigan-Dearborn

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published a number of papers on computer algorithm animation, game development, and engineering education. He is coauthor of a best-selling introductory computer science and software engineering texts. Dr. Maxim has supervised several hundred industry-based software development projects as part of his work at UM-Dearborn.Dr. Sushil Acharya, Robert Morris University Acharya joined Robert Morris University in Spring 2005 after serving 15 years in the Software Indus- try. His teaching involvement and research interest are in the area of Software Engineering education, Software Verification & Validation, Data Mining, Neural Networks, and Enterprise Resource Planning. He also has interest in Learning Objectives based

Conference Session

Software Engineering Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Bruce R. Maxim, University of Michigan - Dearborn; Thomas Limbaugh, University of Michigan - Dearborn

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keeping into consideration, global, cultural, social, environmental, and economic factors.• Outcome 3 – Ability to communicate effectively with a range of audiences.• Outcome 4 – Ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, with consideration for the impact of engineering solutions in global, economic, environmental, and societal contexts.• Outcome 5 - Ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.• Outcome 7 - Acquire and apply new knowledge as needed, using appropriate learning strategies.Course outcomes:1. The

Conference Session

Software Engineering Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sushil Acharya, Robert Morris University; Priyadarshan A Manohar P.E., Robert Morris University; Peter Y Wu, Robert Morris University

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Paper ID #21837Measuring Broader Impact of NSF-funded Project on Software EngineeringEducationDr. 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 Software Industry. His teaching involvement and research interest are in the area of Software Engineering education, Software Verification & Validation, Software Security, Data Mining, Neural Networks, and Enterprise Resource Planning. He also

Conference Session

Software Engineering Division Technical Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Sushil Acharya, Robert Morris University; Walter W Schilling Jr., Milwaukee School of Engineering

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Paper ID #20331Infusing Software Security in Software EngineeringDr. Sushil Acharya, Robert Morris University Acharya joined Robert Morris University in Spring 2005 after serving 15 years in the Software Indus- try. His teaching involvement and research interest are in the area of Software Engineering education, Software Verification & Validation, Data Mining, Neural Networks, and Enterprise Resource Planning. He also has interest in Learning Objectives based Education Material Design and Development. Acharya is a co-author of ”Discrete Mathematics Applications for Information Systems Professionals- 2nd Ed

Conference Session

Software Engineering Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Cam Macdonell, MacEwan University; Heidi J.C. Ellis, Western New England University; Darci Burdge, Nassau Community College; Lori Postner, Nassau Community College; Gregory W Hislop, Drexel University (Computing and Informatics)

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spent 18 years working in government and industry, where his efforts included software development and support, technology planning and evaluation, and development and delivery of technical education. c American Society for Engineering Education, 2018 The Use of HFOSS Projects in the Open Source Day at the Grace Hopper Celebration of Women in ComputingAbstractThe Grace Hopper Celebration of Women in Computing is the world’s largest meeting forwomen in technology. The Open Source Day, a hackathon using humanitarian free and opensource software (HFOSS) projects, has been held in conjunction with the conference for the pastseven years. Open Source Day provides an unusal opportunity to

Conference Session

Software Engineering Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Edward F. Gehringer, North Carolina State University

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Software Engineering Division

“ecosystem” of teaching, research, and service.Most departments will allow a newly hired faculty member to teach at least one course in theirspecialization. The students who take such a course will have acquired enough competence towrite software components for a system, or can carry out analyses that are useful in research.When planning such a course, think about projects that can • be used in your research (e.g., can help collect or analyze data, or serve as test beds for research ideas), • provide the students with the background that they need in order to begin research with you (e.g., become familiar with your experiments, your data, or your analysis software), • keep the students engaged with the material after the

Conference Session

Software Engineering Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kyle D. Feuz, Weber State University; Linda DuHadway, Weber State University; Hugo Edilberto Valle, Weber State University; Richard C. Fry, Weber State University; Kim Marie Murphy, Weber State University

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analyze the datacollected are discussed in Section II. Section III presents the results and findings. A discussion ofthe results is provided in Section IV. Related work is provided in Section V. Finally, ourconclusions and plans for future work are presented in Section VI. II. MethodsThe Data Structures and Algorithms class is a computer science course taught in the C++language. The course is composed of seven different modules and each of the modules cover adifferent set of topics. The amount of content and the time allocated to each module is similaracross all modules. Certain modules and topics tend to be easier for students to grasp than othermodules. Table 1 lists the core topics of each module. In each case, students are asked toimplement