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Linear Transform Sort

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Conference

2021 ASEE Virtual Annual Conference Content Access

Location

Virtual Conference

Publication Date

July 26, 2021

Start Date

July 26, 2021

End Date

July 19, 2022

Conference Session

Computing and Information Technology Division Poster Session

Tagged Division

Computing and Information Technology

Page Count

11

Permanent URL

https://peer.asee.org/37461

Download Count

158

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Paper Authors

biography

Soren Peter Henrichsen Utah Valley University

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Soren Henrichsen is a student at Utah Valley University. His interests include artificial intelligence, algorithms, robotics, machine learning, and statistics.

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Reza Sanati-Mehrizy Utah Valley University

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Reza Sanati-Mehrizy is a professor of the Computer Science Department at Utah Valley University, Orem, Utah. He received his M.S. and Ph.D. in Computer Science from the University of Oklahoma, Norman, Oklahoma. His research focuses on diverse areas such as Database Design, Data Structures, Artificial Intelligence, Robotics, Computer-Aided Manufacturing, Data Mining, Data Warehousing, and Machine Learning.

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Afsaneh Minaie Utah Valley University

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Afsaneh Minaie is a Professor and Chair of Engineering Department at Utah Valley University. She received her B.S., M.S., and Ph.D. all in Electrical Engineering from University of Oklahoma. Her research interests include gender issues in the academic sciences and engineering fields, Embedded Systems Design, Mobile Computing, Wireless Sensor Networks, Nanotechnology, Data Mining and Databases.

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Abstract

Strategies Used for Recruiting and Retaining Freshman Computer Science & Engineering Students

Abstract

At many institutions of higher education, 50 percent or more of the freshman computer science & engineering students drop out of the programs due to a variety of reasons. Many computer science & engineering programs are trying to identify these reasons and find a solution to remedy it. A common goal among most of the educators in freshman engineering programs is to come up with strategies designed to improve the success of first-year engineering students. Since fewer students are entering computer science & engineering programs, it is essential that greater effort and attention be given to retaining students who have decided to pursue a computer science & engineering education.

It has long been recognized that retention of computer science & engineering students is a major problem at many institutions of higher education. Retention issues have a big impact on the colleges and universities in a variety of areas such as academic affairs, student services, and even recruitment of new engineering students. Nowadays, graduation rates are published and lower rates reflect poorly on an institution of higher education. Because of these reasons and more, colleges and universities have turned their attentions to finding new ways to retain the students that do enroll in their computer science & engineering programs.

This paper will study different approaches that are used by different colleges and universities for recruiting and retaining freshman computer science & engineering students. This paper will also address the techniques that are used by the authors’ university to improve recruitment and retention of their computer science & engineering students.

Henrichsen, S. P., & Sanati-Mehrizy, R., & Minaie, A. (2021, July), Linear Transform Sort Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. https://peer.asee.org/37461

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