Topics include: algorithms, human-computer interaction, information security, networking, operating systems, programming, software development and engineering, and more.
This book is an inquiry-based approach to a first semester undergraduate Numerical Methods or Numerical Analysis course. This book contains collections of exercises that guide the student through the building and analysis of numerical algorithms. The primary programming language for this book is Python with an emphasis on using numpy, matplotlib, and scipy to solve computational problems. The intended student audience is sophomore to junior level STEM majors with a background in Calculus, Linear Algebra, and Differential equations. CC-BY-NC-SA 4.0
Authored by professors Michael Stiber and Bilin Zhang Stiber (UW Bothell), and Eric C. Larson (Southern Methodist University). Creative Commons Attribution-ShareAlike 4.0
Adopted by Tyler C. Folsom, Affiliate Professor at UW Bothell for CSS 427: Embedded Systems. Creative Commons Attribution NonCommercial No Derivatives 4.0 International License.
Adopted by Professor Mike Stiber and others for CSS 342/3: Data Structures, Algorithms, and Discrete Mathematics I & II. Licensed under GNU Free Documentation License, Version 1.2, by the Free Software Foundation.
"This textbook serves as a gentle introduction for undergraduates to theoretical concepts in data structures and algorithms in computer science while providing coverage of practical implementation (coding) issues. " CC BY
"This book provides an overview of the field of natural language processing and recently developed methods, presuming only knowledge of computing with data structures." CC BY-NC
"Deleting Dystopia confirms that the existential threats posed by the misuse of advanced digital technologies are real. But, in place of apathy and fatalism, Slaughter explores ways of understanding the threat, conceptualising solutions and identifying strategies that lead away from digital authoritarian futures towards those funded on humanly viable values and practices." CC BY-NC-SA
"College-level module lesson plans on applied mathematics concepts relative to security. A product of the SENTRY Reconnect 2022 and 2023 workshops, sponsored by the Department of Homeland Security and Rutgers University's Center for Discreet Mathematics and Computer Science (DIMACS)."
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