Read more about An Open Guide to Data Structures and Algorithms" width="490" height="735" />Read more about An Open Guide to Data Structures and Algorithms" width="490" height="735" />
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. The field of computer science (CS) supports a multitude of essential technologies in science, engineering, and communication as a social medium. The varied and interconnected nature of computer technology permeates countless career paths making CS a popular and growing major program. Mastery of the science behind computer science relies on an understanding of the theory of algorithms and data structures. These concepts underlie the fundamental tradeoffs that dictate performance in terms of speed, memory usage, and programming complexity that separate novice programmers from professional practitioners.
Paul W. Bible is currently a faculty member in the Department of Computer Science at DePauw University in Greencastle, Indiana. He holds a Ph.D. in Computer Science and has conducted research in bioinformatics and computational biology both internationally and at the National Institutes of Health. Dr. Bible believes in the power of equity in education to drive social change. He hopes that this book will help more students succeed on their path to becoming computing professionals.
Lucas Moser is an independent consultant and faculty member at Marian University’s Department of Mathematical and Computational Science. There he passionately shares his assertion that a rich education plays a major role in the development of problem-solving skills. His experiences in software engineering, management, and teaching bring a unique perspective to both project teams and students.
Mia M. Scarlato
