Exploring Mathematical and Computational Concepts for STEM Education in Colleges

The recent revision of STEM Higher Education requires the identification in the Rivier University curricula of math and computer science methods that can be effectively studied and benefit students in exploring various practical applications, including cybersecurity, data analytics, biotechnology, r...

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Vydáno v:International journal of technology, knowledge and society Ročník 16; číslo 4; s. 1 - 22
Hlavní autor: Riabov, Vladimir
Médium: Journal Article
Jazyk:angličtina
Vydáno: Champaign Common Ground Research Networks 2020
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ISSN:1832-3669
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Shrnutí:The recent revision of STEM Higher Education requires the identification in the Rivier University curricula of math and computer science methods that can be effectively studied and benefit students in exploring various practical applications, including cybersecurity, data analytics, biotechnology, robotics, space exploration, geophysics, system simulation and modeling, etc. In this article, the focus is made on analyses of several modern advanced mathematical and computational methods and numerical algorithms (e.g., modular arithmetic, the graph theory, computer graphics, and steganography with digital images), strategies of testing computer programs, implementation of encryption algorithms, computer-generated image visualization, studies of code complexity with predictions of potential programming errors, and search for large prime numbers. The enrichment of these concepts with data, knowledge, and methods from other disciplines (mathematics, linguistics, psychology, physiology, etc.) is also analyzed. The results of this project became a rich foundation for revision of STEM curricula. Extracurricular activities (Math Clubs, Summer Bootcamps, Field Trips, National Math and Robotics Contests, etc.) helped students reveal curiosity and the power of innovations. The “extra mile” opportunities and examples of students’ outstanding capstone projects are considered in details.
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ISSN:1832-3669
DOI:10.18848/1832-3669/CGP/v16i04/1-22