Thư viện số
Giáo trình, tài liệu tham khảo và tài nguyên học tập mở.
Nguồn ngoài
Introduction to Computer Science
Dr. Jean-Claude Franchitti; Amal Alhosban; Mark Buckler; Joanna Gilberti · OpenStax, Rice University
Introduction to Computer Science 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. Introduction to Computer Science 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. Introduction to Computer Science 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. 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.
Nguồn ngoài
Workplace Software and Skills
Tammie Bolling; Angela Mitchell; Tanya Scott; Nyrobi Wheeler · OpenStax, Rice University
Workplace Software and Skills is designed to flexibly support a range of courses covering computer literacy, Microsoft Office, and Google Suite applications. The textbook covers both hard and soft skills that are applicable to a broad range of academic majors and careers. Chapters combine studio learning and guided practice with scaffolded activities designed to reinforce a student’s ability to perform higher-order tasks independently. Workplace Software and Skills leverages complementary product features in spreadsheet, word processing, presentation, and similar applications. Modules are designed for maximum flexibility by including both Microsoft Office Suite and Google Suite applications, in order to best reflect the skills needed for today’s workforce. Authentic activities and real-world contexts develop a cumulative and thorough understanding, which reinforces the importance of cross-platform proficiency. Highly visible features also note Apple/Mac functions as needed.
Nguồn ngoài
Principles of Data Science
Dr. Shaun V. Ault; Dr. Soohyun Nam Liao; Larry Musolino; Wisam Bukaita · OpenStax, Rice University
Principles of Data Science is intended to support one- or two-semester courses in data science. It is appropriate for data science majors and minors as well as students concentrating in business, finance, health care, engineering, the sciences, and a number of other fields where data science has become critically important. The authors have included a diverse mix of scenarios, examples, and data types for analysis and discussion purposes. These include both fictional contexts and real-world sources, such as the Federal Reserve Economic Database and Nasdaq. Data sets focus on a range of topics: business, science, social sciences. Applications include healthcare, physical sciences, demographics, policy, and finance. Data ethics and the emergence of artificial intelligence are covered deeply – both in their own chapters and as consistent threads throughout the course material. The authors and contributors have developed rich in-chapter example problems and extensive practice exercises that encourage students to apply concepts in a variety of situations. Technical illustrations and Python code support and supplement the principles and theory. The text also includes direct links to downloadable data sets and Python code, as well as guidance on how to use them.
Nguồn ngoài
Introduction to Python Programming
Udayan Das; Aubrey Lawson; Chris Mayfield; Narges Norouzi · OpenStax, Rice University
Introduction to Python Programming provides a comprehensive foundation in programming concepts and skills, and it is aligned to the scope of most introductory courses. A wide array of scenarios, contexts, and problems reflect programming applications in many disciplines and careers. The offering is suitable for a diverse learner audience, including those pursuing computer science, business, science, social science, statistics, data science, and related areas of study and employment. Introduction to Python Programming is an interactive offering that teaches basic programming concepts, problem-solving skills, and the Python language using hands-on activities. The resource includes a unique, integrated code runner through which students can immediately apply what they learn to check their understanding. Embedded videos, critical thinking exercises, and explorations of external programming tools and activities all contribute to a meaningful and supportive learning experience.
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Introduction to Intellectual Property
David Kline; David Kappos; Kerry L. Bundy; Randall E. Kahnke · OpenStax, Rice University
Introduction to Intellectual Property provides a clear, effective introduction to patents, copyright, trademarks, and trade secrets. The text may be used by students and instructors in formal courses, as well as those applying intellectual property considerations to entrepreneurship, marketing, law, computer science, engineering, design, or other fields. The luminaries involved with this project represent the forefront of knowledge and experience, and the material offers considerable examples and scenarios, as well as exercises and references. Introduction to Intellectual Property was originally developed by the Michelson 20MM Foundation, released under the title The Intangible Advantage. Presented by Gary K. Michelson, M.D.
Nguồn ngoài
Foundations of Information Systems
Dr. Mahesh S. Raisinghani; Amal Alhosban; Dax Bradley; Wade Chumney · OpenStax, Rice University
Foundations of Information Systems aligns to the topics and objectives of most introductory information systems courses in computer science and information technology, as well as in other subject areas such as health and business information systems. The offering helps students understand foundational concepts including hardware, software, database management systems, and data networks. The instruction is based on the ACM/IEEE/AIS curriculum standards for information systems (IS2020) that allow institutions to use the content for the purposes of accreditation for ABET, AACSB, and ACBSP. The material focuses on developing and applying knowledge regarding the collection, processing, storage, distribution, and value of information. Students will also learn about the various interactions between information systems professionals and others in organizations, so that they understand how to collaborate with management, colleagues, customers, and suppliers. Foundations of Information Systems is designed to engage students through a combination of practical, real-world applications and thought-provoking scenarios that promote critical thinking and a deeper understanding of core concepts. The pedagogical approach is centered on making information systems relevant to students from an array of backgrounds and career interests. By connecting theory to practice and encouraging students to explore real-world issues, Foundations of Information Systems equips students with the knowledge and skills necessary for success in their academic and professional journeys.