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161 results on '"David P. Bunde"'

1. Cryptology as a Way to Teach Advanced Discrete Mathematics

Author

David P. Bunde and John F. Dooley

Abstract

We present a detailed description of a Cryptography and Computer Security course that has been offered at Knox College for the last 15 years. While the course is roughly divided into two sections, Cryptology and Computer Security, our emphasis here is on the Cryptology section. The course puts the cryptologic material into its historical context and also includes reference to ciphers used and discussed in literature. Through lectures and assignments on cryptanalysis, the course motivates students to learn a variety of topics in advanced discrete mathematics, including discrete probability, elementary statistics, number theory, and abstract algebra. The students have found this approach motivating and we believe our experiences are relevant to instructors teaching this material in a variety of different courses and institutions.

Published
2024
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5. Peachy Parallel Assignments (EduHPC 2023).

Author

H. Martin Bücker, Jeremiah Corrado, Daniel Fedorin, Diego Garcia-Alvarez, Arturo González-Escribano, John Li, Maria Pantoja, Erik Pautsch, Marieke Plesske, Marcelo Ponce, Silvio Rizzi 0001, Erik Saule, Johannes Schoder, George K. Thiruvathukal, Ramses van Zon, Wolf Weber, and David P. Bunde

Published
2023
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27. Peachy Parallel Assignments (EduHPC 2019).

Author

Mulya Agung, Allen D. Malony, Hiroyuki Takizawa, David P. Bunde, Muhammad Alfian Amrizal, Steven Bogaerts, Ryusuke Egawa, Daniel A. Ellsworth, Jorge Fernández-Fabeiro, Arturo González-Escribano, Sukhamay Kundu, and Alina Lazar

Published
2019
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33. Peachy Parallel Assignments (EduHPC 2018).

Author

Eduard Ayguadé, Lluc Alvarez, Fabio Banchelli, Martin Burtscher, Arturo González-Escribano, Julian Gutierrez 0002, David A. Joiner, David R. Kaeli, Fritz Previlon, Eduardo Rodriguez-Gutiez, and David P. Bunde

Published
2018
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50. A module-based introduction to heterogeneous computing in core courses

Author

David P. Bunde, Apan Qasem, and Philip Schielke

Subjects
Multimedia, Computer Networks and Communications, business.industry, Computer science, Student engagement, Cloud computing, Symmetric multiprocessor system, computer.software_genre, Theoretical Computer Science, Set (abstract data type), Artificial Intelligence, Hardware and Architecture, Active learning, ComputingMilieux_COMPUTERSANDEDUCATION, State (computer science), business, Curriculum, computer, Software, Graduation
Abstract

Heterogeneous architectures have emerged as a dominant platform, not only in high-performance computing but also in mobile processing, cloud computing, and the Internet of Things (IoTs). Because the undergraduate computer science curriculum includes so many topics, adding a new course as a required part of the curriculum without increasing the number of hours to graduation is difficult. Integration of heterogeneous computing requires a module-driven approach in which coverage of the topics is broken down into smaller units and dispersed throughout the curriculum. The module-driven approach has been successfully implemented in introducing parallel and distributed computing concepts. In this paper, we present a set of four teaching modules that introduce fundamental concepts in heterogeneous computing in lower-division computer science courses. The goal of these modules is not to teach students how to program heterogeneous systems but rather to expose them to this emerging trend and prepare them for material in future classes. Although concepts are covered at a high level, the modules emphasize active learning and include lab assignments that provide students with hands-on experience. We also present initial evaluation results for two of these modules based on their use in undergraduate courses at Texas State University. The results are quite encouraging both in terms of learning outcomes and student engagement and interest.

Published
2021

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