Computer Science

The OpenStax Introduction to Computer Science textbook offers a comprehensive, accessible foundation in computing principles, programming, and data structures, designed to support both CS majors and non-majors. Its modular structure and open licensing make it ideal for faculty seeking customizable, no-cost course materials aligned with modern pedagogical practices.

The OpenStax Principles of Data Science textbook introduces students to core concepts in data exploration, statistical analysis, and machine learning using Python, with a strong emphasis on ethical data practices. Faculty will appreciate its adaptable structure, open licensing, and alignment with interdisciplinary teaching across computer science, statistics, and social sciences.

The OpenStax Introduction to Python Programming textbook provides a beginner-friendly, project-based approach to learning Python, emphasizing problem-solving and real-world applications. Faculty will find it especially useful for introductory programming courses, thanks to its open license, modular design, and alignment with current industry and academic standards.

The An Introduction to Computer Networks textbook by Peter Dordal offers a thorough, open-access exploration of networking fundamentals, with a strong focus on TCP/IP and topics like congestion, queuing, and network simulations. Ideal for faculty teaching undergraduate or introductory graduate courses, it includes diagrams, exercises, and coverage of LAN, internetworking, and transport layers, making it a versatile resource for both instruction and reference.

The Computer Networks: A Systems Approach textbook by Larry Peterson and Bruce Davie presents networking concepts through a problem-solving lens, emphasizing the design principles behind modern protocols and large-scale network architectures. Faculty will find its modular structure, real-world examples, and open licensing ideal for upper-level undergraduate or graduate courses, especially those seeking a systems-oriented alternative to traditional layered models.

The Culturally Responsive Computing: An Introduction into Computer Science, Security, and Technology textbook by Devan J. Walton explores the intersection of computing and global cultures, emphasizing how cultural contexts influence—and are influenced by—technological design and practice. Faculty will find it especially valuable for integrating equity-focused, interdisciplinary perspectives into computing curricula, with modular chapters on topics like algorithmic bias, inclusive interface design, and global case studies.

The Operating Systems and Infrastructure in Data Science textbook by Josef Spillner equips students with foundational knowledge of operating systems and the practical tools used in modern data science workflows. Designed for hands-on learning, it integrates access to Edushell—a live practice environment—making it ideal for faculty seeking to teach infrastructure, orchestration, and deployment skills alongside core data science concepts.

This textbook introduces the core concepts of web development by guiding readers through the full lifecycle of a project—from design to front-end and back-end implementation—while emphasizing responsive design, accessibility, and security. It builds foundational knowledge through practical examples and exercises, helping learners transition confidently across languages, frameworks, and platforms.