Introduction to Computer Science

Introduction to Computer Science

✍️ Dr. Jean-Claude Franchitti (NYU Courant Institute); Amal Alhosban (University of Michigan–Flint); Mark Buckler (Grand Canyon University); Joanna Gilberti (Archemy, Inc.); Scott Gray (Nashua Community College); Matthew Hertz (University at Buffalo); Andrew Hurd (Empire State University); Kevin Lin (University of Washington); Sai Mukkavilli (Georgia Southwestern State University); Phuc (Brian) Nguyen (UC Irvine); Shahab Tayeb (Fresno State); Zdeněk Troníček (Tarleton State University); Kevin Wortman (Cal State Fullerton); Mohamed Zahran (New York University)
en 公有领域 Computer ScienceFoundations of Computer Science
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📝 简介

<p data-block-key="do82c"><i>Introduction to Computer Science</i> provides a comprehensive foundation in core computer science concepts and principles, aligning with the scope and sequence of most introductory computer science courses. The offering serves as an engaging entry point for students pursuing diverse fields of study and employment, including computer science, business, engineering, data science, social sciences, and related disciplines. By addressing a broad learner audience—ranging from computer science majors to non-majors—the book offers a thorough introduction to computational thinking and its applications across multiple domains.</p><p data-block-key="ah59s"><i>Introduction to Computer Science</i> is designed to be both interactive and practical, focusing on real-world applications that showcase how core computer science concepts can be used to solve complex problems. Students will explore foundational concepts, such as algorithms, data structures, computer systems organization, and software development, using an array of engaging, hands-on activities. <i>Introduction to Computer Scienc</i>e also includes advanced topics such as machine learning, cybersecurity, and cloud computing, ensuring students have a solid foundation for continued study and future professional success.</p><p data-block-key="csgi2">The offering integrates meaningful learning experiences through chapter-based scenarios, problem-solving exercises, embedded coding activities, and project-based assessments that encourage students to apply what they learn in authentic contexts. The material also includes an array of industry insights and explorations of emerging technology trends in order to provide a holistic approach to learning that extends beyond theory.</p>

来源:Project Gutenberg · 原书页面
许可:公有领域(Public Domain)