Mathematics Research in Data Science, Machine Learning, and Cybersecurity Accessible Research Topics for Undergraduate Students
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Foundations for Undergraduate Research in Mathematics
Mathematics Research in Data Science, Machine Learning, and Cybersecurity
Accessible Research Topics for Undergraduate Students
Alex John Quijano | Allison Lewis | Aaron Wootton
This edited volume introduces undergraduate students to emerging research topics in technology-focused disciplines founded in mathematics, including data science, machine learning, optimization, and cybersecurity. Each chapter is self-contained and provides students with the required background knowledge, context, and relevant references to motivate and enable them to successfully undertake research in these areas. A variety of accessible research projects are included that can be conducted independently or in collaboration with a mentor. Many chapters also offer challenge problems and exercises along the way to aid students in learning the material. This volume will also serve as a valuable resource to faculty mentors, graduate students, and others who are interested in supervising undergraduate research.
Alex John Quijano is an Assistant Professor of Mathematics at the University of Portland, a private Catholic university affiliated with the Congregation of the Holy Cross. He has a background in applied mathematics and data science, focusing on data visualization and statistical modeling. Experienced with supervising undergraduate theses and research projects, he has developed an understanding of guiding students through the research process, fostering their academic growth.
Allison Lewis is an Associate Professor of Mathematics at Lafayette College, an undergraduate liberal arts college that prioritizes opportunities for undergraduate students to engage in cutting-edge research. With a background in mathematical modeling and uncertainty quantification, she has engaged numerous students in research experiences via REU programs, senior honors theses, independent studies, and summer research opportunities.
Aaron Wootton is a Professor of Mathematics at the University of Portland. His research lies in the areas of Complex Algebraic Geometry and Group Theory, with specific interests in Symmetries of Surfaces. Other interests include participation and fostering of undergraduate research in mathematics and the development of educational resources including resources in Cryptology.
| Publication Date: | 29 March 2027 |
| Publisher: | Springer Nature Switzerland |
| Imprint: | Birkhäuser |
| ISBN-13: | 9783032458728 |
| Format: | Hardback |
| Page Count: | 532 |