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Giáo trình, tài liệu tham khảo và tài nguyên học tập mở.
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Essentials of Geographic Information Systems
Jonathan Campbell; MIchael Shin · Saylor Foundation · 2011
Essentials of Geographic Information Systems integrates key concepts behind the technology with practical concerns and real-world applications. Recognizing that many potential GIS users are nonspecialists or may only need a few maps, this book is designed to be accessible, pragmatic, and concise. Essentials of Geographic Information Systems also illustrates how GIS is used to ask questions, inform choices, and guide policy. From the melting of the polar ice caps to privacy issues associated with mapping, this book provides a gentle, yet substantive, introduction to the use and application of digital maps, mapping, and GIS. In today's world, learning involves knowing how and where to search for information. In some respects, knowing where to look for answers and information is arguably just as important as the knowledge itself. Because Essentials of Geographic Information Systems is concise, focused, and directed, readers are encouraged to search for supplementary information and to follow up on specific topics of interest on their own when necessary. Essentials of Geographic Information Systems provides the foundations for learning GIS, but readers are encouraged to construct their own individual frameworks of GIS knowledge. The benefits of this approach are two-fold. First, it promotes active learning through research. Second, it facilitates flexible and selective learning—that is, what is learned is a function of individual needs and interest. Since GIS and related geospatial and navigation technology change so rapidly, a flexible and dynamic text is necessary in order to stay current and relevant. Though essential concepts in GIS tend to remain constant, the situations, applications, and examples of GIS are fluid and dynamic. Though this book is intended for use in introductory GIS courses, Essentials of Geographic Information Systems will also appeal to the large number of certificate, professional, extension, and online programs in GIS that are available today.
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Information Systems - A Manager's Guide to Harnessing Technology
University of Minnesota Libraries Publishing · 2015
Information Systems: A Manager's Guide to Harnessing Technology is intended for use in undergraduate and/or graduate courses in Management Information Systems and Information Technology. The teaching approach in Information Systems: A Manager's Guide to Harnessing Technology can change this. The text offers a proven approach that has garnered student praise, increased IS enrollment, and engaged students to think deeper and more practically about the space where business and technology meet. Every topic is related to specific business examples, so students gain an immediate appreciation of its importance. Rather than lead with technical topics, the book starts with strategic thinking, focusing on big-picture issues that have confounded experts but will engage students. And while chapters introduce concepts, cases on approachable, exciting firms across industries further challenge students to apply what they've learned, asking questions like: Why was Netflix able to repel Blockbuster and WalMart? How did Harrah's Casino's become twice as profitable as comparably-sized Caesar's, enabling the former to acquire the latter? How does Spain's fashion giant Zara, a firm that shuns the sort of offshore manufacturing used by every other popular clothing chain, offer cheap fashions that fly off the shelves, all while achieving growth rates and profit margins that put Gap to shame? Why do technology markets often evolve into winner-take-all or winner take-most scenarios? And how can managers compete when these dynamics are present? Why is Google more profitable than Disney? How much is Facebook really worth? The teaching approach in this text encourages students to think deeper and more practically about the space where business and technology meet. Every topic is related to specific business examples, so students gain an immediate appreciation of its importance. Rather than starting with technical topics, the book starts with strategic thinking, focusing on big-picture issues t
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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.
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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.
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Del ágora a la nube: El destino de las humanidades en la era de la IA
Karles Hoffmann-Jaramillo; Carlos Flores-Murillo; Eduardo Baidal-Bustamante · Editorial Grupo AEA · 2025
Explora la evolución del pensamiento crítico desde la Antigua Grecia hasta la era digital, analizando el impacto de la inteligencia artificial (IA) en la educación y la sociedad. Se inicia con una comparación entre el Ágora ateniense, donde se gestó el debate filosófico y la democracia, y los entornos digitales actuales, donde el acceso a la información ha cambiado la forma en que aprendemos. Se resalta cómo la enseñanza de Sócrates, Platón y Aristóteles, basada en el diálogo y la argumentación, sigue siendo relevante para desarrollar el pensamiento crítico en un mundo saturado de datos. En la era digital, la IA ha transformado la educación mediante herramientas que personalizan el aprendizaje y facilitan el acceso a información. Sin embargo, también plantea riesgos como la dependencia tecnológica, los sesgos algorítmicos y la pérdida de autonomía intelectual. El libro enfatiza la necesidad de equilibrar el uso de la tecnología con metodologías pedagógicas que fomenten la reflexión y el análisis crítico. Otro desafío clave es la desinformación, impulsada por la sobreabundancia de datos y la rapidez con la que circula la información en redes sociales. Ante esto, se propone fortalecer la capacidad de los estudiantes para evaluar fuentes, cuestionar datos y construir conocimientos con base en el análisis riguroso. Finalmente, la obra concluye que el futuro de la educación no debe estar centrado solo en la tecnología, sino en la formación de ciudadanos críticos y reflexivos. La IA puede ser una aliada en este proceso, pero es fundamental preservar la esencia humanista del aprendizaje, asegurando que la educación siga siendo un espacio de cuestionamiento, creatividad y pensamiento autónomo.
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Computer Networks - A Systems Approach
Peterson and Davie · LibreTexts
Có trong mục lục: 2.01: Technology Landscape · 3.01: Switching and Bridging · 8.01: Trust and Threats
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Database Design 2e
Adrienne Watt · British Columbia Institute of Technology
Có trong mục lục: 1.03: Characteristics and Benefits of a Database · 1.09: Integrity Rules and Constraints
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Principles of Computer System Design
Jerome H. Saltzer & M. Frans Kaashoek · Massachusetts Institute of Technology
Có trong mục lục: 01: The Network as a System and as a System Component · 2.02: Faults Failures and Fault-Tolerant Design · 2.03: Measures of Reliability and Failure Tolerance
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Data and programming- an overview
Julio Terán · North Carolina State University
Có trong mục lục: 01: What Are Data and Data Science · 1.02: What Is Data Science · 1.03: Data Science in Practice
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Mathematics for Computer Science
Eric Lehman, F. Thomson Leighton, & Alberty R. Meyer · Google and Massachusetts Institute of Technology
Có trong mục lục: 1.06: Proving an If and Only If · 3.03: Equivalence and Validity · 6.01: Recursive Definitions and Structural Induction
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Principles of Data Science
OpenStax · LibreTexts
Có trong mục lục: 01: What Are Data and Data Science · 1.01: What Is Data Science · 1.02: Data Science in Practice
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Computer Concepts
Gabrielle Brixey · Coalinga College
Có trong mục lục: 1.06: The Internet World Wide Web and E-Commerce · 02: Hardware and Software · 2.1.06: Input and Output Devices
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Delftse Foundations of Computation
Stefan Hugtenburg & Neil Yorke-Smith · Delft University of Technology
Có trong mục lục: 1.4.04: Tarskis world and formal structures · 1.5.02: Valid arguments and proofs · 2.07: Application - Recursion and Induction