Thư viện số

Giáo trình, tài liệu tham khảo và tài nguyên học tập mở.

Nguồn:Tất cả nguồn OpenStax (84)Open Textbook Library (1854)LibreTexts (4017)Thư viện Trường Đại học Phú Xuân (59)vi en

Tất cả Công nghệ thông tin Kinh tế Quản trị kinh doanh Marketing Kế toán - Kiểm toán Tiếng Anh Tiếng Trung Du lịch Khoa học cơ bản Lý luận chính trị Kỹ năng mềm Giáo trình mở →

Nguồn ngoài

InfoTech Governance, Policy, Ethics & Law

David Tuffley · Council of Australian University Librarians · 2025

A comprehensive guide to IT governance, policy, ethics and law for students, practitioners and researchers. Covers the latest developments and best practices in the field, with a focus on the ethical, legal and social implications of IT. The textbook is divided into nine chapters, each covering a key topic in IT governance, policy, ethics and law.

CC BY-NCComputer ScienceLaw 0 lượt xem

Nguồn ngoài

Computer-Aided Exercises in Civil Procedure

Roger Park; Douglas McFarland · CALI's eLangdell® Press · 2014

The sixth edition, first published as an ebook, and this seventh edition carry forward the philosophy and structure of the earlier editions. This book is not a comprehensive treatise on the subject of civil procedure, yet it provides a mixture of expository text, cases, and self-testing questions in nearly all of the major areas of the subject. In order to maximize accessibility, flexibility, and compatibility of the book, the authors have chosen CALI's eLangdell Press to publish and distribute the sixth edition (as chapters) and this revised seventh (as a complete book) electronically with a Creative Commons license. Publishing a law textbook electronically with far fewer restrictions than most commercial books and using a somewhat new, boutique outfit such as eLangdell Press is an unconventional choice, to say the least. But the authors share the eLangdell vision of more flexible teaching materials for professors and more cost-effective books for students. Professors may now edit and remix this work to match their teaching without worry of copyright infringement. Students may now adopt this book, read it using any number of software or devices, and even print it - all for free. The book's authors, like its publishers, believe that this new book model represents an important and long overdue step forward in the way law school books are published. All the exercises have been substantially revised for this edition. The individual exercises also are reorganized and expanded so that they follow a more standardized pattern: expository text on the topic area, work-book questions, and introduction to the related online CALI lessons. This book, and the accompanying interactive exercises known as CALI Lessons available online through the Center for Computer-Assisted Legal Instruction (CALI) at www.cali.org, are intended to provide a challenging educational experience. For each exercise, students should read the text in this book and answer the questions before accessing the

CC BY-NC-SACivil LawProcedural Law 0 lượt xem

Nguồn ngoài

Implementing a One Address CPU in Logisim

Charles Kann · A.T. Still University · 2016

Most computer users have an incorrect, but useful, cognitive metaphor for computers in which the user says (or types or clicks) something and a mystical, almost intelligent or magical, behavior happens. It is not a stretch to describe computer users as believing computers follow the laws of magic, where some magic incantation is entered, and the computer responds with an expected, but magical, behavior. This magic computer does not actually exist. In reality computer are machines, and every action a computer performs reduces to a set of mechanical operations. In fact the first complete definition of a working computer was a mechanical machine designed by Charles Babbage in 1834, and would have run on steam power. Probably the biggest success of Computer Science (CS) in the 20th century was the development of abstractions that hide the mechanical nature of computers. The fact that average people use computers without ever considering that they are mechanistic is a triumph of CS designers. This purpose of this monograph is to break the abstract understanding of a computer, and to explain a computer's behavior in completely in mechanistic terms. It will deal specifically with the Central Processing Unit (CPU) of the computer, as this is where the magic happens. All other parts of a computer can be seen as just providing information for the CPU to operate on. This monograph will deal with a specific type of CPU, a one-address CPU, and will explain this CPU using only standard gates, specifically AND, OR, NOT, NAND and XOR gates, and 4 basic Integrated Circuits (ICs), the Decoder, Multiplexer, Adder, and Flip Flop. All of these gates and components can be described as mechanical transformations of input data to output data, and the overall CPU can then be seen as a mechanical device.

CC BYComputer Science 0 lượt xem

Nguồn ngoài

Think Complexity: Exploring Complexity Science with Python

Allen Downey · Green Tea Press · 2018

Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you'll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics. Whether you're an intermediate-level Python programmer or a student of computational modeling, you'll delve into examples of complex systems through a series of worked examples, exercises, case studies, and easy-to-understand explanations. In this updated second edition, you will: Work with NumPy arrays and SciPy methods, including basic signal processing and Fast Fourier Transform Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get Jupyter notebooks filled with starter code and solutions to help you re-implement and extend original experiments in complexity; and models of computation like Turmites, Turing machines, and cellular automata Explore the philosophy of science, including the nature of scientific laws, theory choice, and realism and instrumentalism Ideal as a text for a course on computational modeling in Python, Think Complexity also helps self-learners gain valuable experience with topics and ideas they might not encounter otherwise.

CC BY-NC-SAComputer Science 0 lượt xem

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.

CC BY-NC-SAComputer Science 0 lượt xem