Thư viện số
Giáo trình, tài liệu tham khảo và tài nguyên học tập mở.
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Scientific Computing
Peter Staab · Fitchburg State University
Solving problems is the essence of scientific computing. Many problems arise naturally from the sciences or mathematics and often to solve difficult problem relies on some computing resources. In a nutshell, this text is the blend of science, mathematics and computer science needed to solve problems. The intended audience for this text one who is interested in writing computer code that will solve a problem that you have.
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An Introduction to Ontology Engineering
Maria Keet · University of Cape Town
This book is the first textbook for an introduction in ontology engineering. Indeed, there are books about ontology engineering, but they either promote one specific ontology or methodology only, are handbooks, or are conference proceedings. The intended audience for this textbook are people at the level of advanced undergraduate and early postgraduate studies in computer science. This entails, for instance, that I assume the reader will know what UML class diagrams and databases are.
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Java, Java, Java - Object-Oriented Programming
Ralph Morelli & Ralph Wade · Trinity College
Có trong mục lục: 9.11: Case Study- An N-Player Computer Game · 13.10: Special Topic- Are Computers Intelligent · 17.01: Computers Objects and Java
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Principles of Computer System Design
Jerome H. Saltzer & M. Frans Kaashoek · Massachusetts Institute of Technology
Principles of Computer System Design: An Introduction is published in two parts. Part I, containing chapters 1-6, is a traditional printed textbook published by Morgan Kaufman, an imprint of Elsevier. Part II, containing chapters 7-11, is available here as an open educational resource.
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Relational Databases and Microsoft Access
Ron McFadyen · University of Winnipeg
This text is a free introductory text that introduces MS Access and relational database design. The motivation is to support a second-year course on database systems which, to the student, is either a service course providing an introduction to database concepts, or, as a prerequisite for more advanced study in the field.
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Data Structure and Algorithms
Harrison Njoroge · African Virtual University
This text teaches learners the way information is organized in the computer and which have an impact on the performance of the computer. The purpose of this course is to provide the students with solid foundations in the basic concepts of programming: data structures and algorithms. The main objective of the text is to teach the students how to select and design data structures and algorithms that are appropriate for problems that they might encounter.
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Friendly Introduction to Mathematical Logic
Christopher Leary & Lars Kristiansen · SUNY Geneseo & University of Oslo
Có trong mục lục: 5.04: Representable Functions and Computer Programs
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x86-64 Assembly Language Programming with Ubuntu
Ed Jorgensen · University of Navada, Las Vegas
The purpose of this text is to provide a reference for University level assembly language and systems programming courses. Specifically, this text addresses the x86-64 instruction set for the popular x86-64 class of processors using the Ubuntu 64-bit Operating System (OS). The x86-64 is a Complex Instruction Set Computing (CISC) CPU design.
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An Introduction to Matlab and Mathcad
Troy Siemers · Virginia Military Institute
This textbook, or really a “coursebook” for a college freshman-level class, has been updated for Spring 2014 and provides an introduction to programming and problem solving using both Matlab and Mathcad. We provide a balanced selection of introductory exercises and real-world problems (i.e. no “contrived” problems). We include many examples and screenshots to guide the reader. We assume no prior knowledge of Matlab or Mathcad.
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Python for Everybody
Chuck Severance · University of Michigan
Có trong mục lục: 1.03: Computer Hardware Architecture
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MCC: MTH 220 - Discrete Math
Judy Dean · Monroe Community College
MTH 220 Discrete Math is a foundational course (often for computer science/math majors) focused on logic, proofs, and non-continuous mathematical structures. Key topics include propositional logic, set theory, combinatorics, graph theory, functions, and proof techniques like induction and contradiction. The course emphasizes rigorous, abstract, and algorithmic thinking.
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High Performance Computing
Chuck Severance · University of Michigan
Có trong mục lục: 02: Modern Computer Architectures
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Eloquent JavaScript
Marijn Haverbeke · LibreTexts
This is a book about JavaScript, programming, and the wonders of the digital. JavaScript lies at the heart of almost every modern web application, from social apps like Twitter to browser-based game frameworks like Phaser and Babylon. Though simple for beginners to pick up and play with, JavaScript is a flexible, complex language that you can use to build full-scale applications.
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An Introduction to Computer Networks
Peter Lars Dordal · Loyola University of Chicago
This text is a free and open general-purpose computer-networking textbook, complete with diagrams and exercises.It covers the LAN, internetworking and transport layers, focusing primarily on TCP/IP. Particular attention is paid to congestion; other special topics include queuing, real-time traffic, network management, security and the ns simulator.
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Introductory Probability
Charles Grinstead & J. Laurie Snell · Dartmouth & Swarthmore Universities
This text is designed for an introductory probability course taken by sophomores, juniors, and seniors in mathematics, the physical and social sciences, engineering, and computer science. It presents a thorough treatment of probability ideas and techniques necessary for a firm understanding of the subject. The text can be used in a variety of course lengths, levels, and areas of emphasis.
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Python Programming
OpenStax · LibreTexts
Có trong mục lục: 15: Data Science · 15.01: Introduction to Data Science
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Cognitive Psychology
Mehgan Andrade and Neil Walker · College of the Canyons
Ultimately Cognitive psychology is the scientific investigation of human cognition, that is, all our mental abilities – perceiving, learning, remembering, thinking, reasoning, and understanding. It is closely related to the highly interdisciplinary cognitive science and influenced by artificial intelligence, computer science, philosophy, anthropology, linguistics, biology, physics, and neuroscience. Cognitive psychology studies how people acquire and apply knowledge or information.
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Physical Modeling in MATLAB
Allen B. Downey · Olin College
Modeling and simulation are powerful tools for explaining the world, making predictions, designing things that work, and making them work better. Learning to use these tools can be difficult; this book is my attempt to make the experience as enjoyable and productive as possible. By reading this book—and working on the exercises—you will learn some programming, some modeling, and some simulation. With basic programming skills, you can create models for a wide range of physical systems.
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A Cool Brisk Walk Through Discrete Mathematics
Stephen Davies · University of Mary Washington
A Cool Brisk Walk Through Discrete Mathematics - and its companion site "allthemath" - are completely-and-forever-free-and-open-source educational materials dedicated to the mathematics that budding computer science practitioners actually need to know. They feature the fun and addictive teaching of award-winning lecturer Dr. Stephen Davies of the University of Mary Washington in Fredericksburg, Virginia!
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Introduction to Programming using Fortran 95/2003/2008
Ed Jorgensen · University of Navada, Las Vegas
Có trong mục lục: 02: Computer Organization