Short Description:
This book is the result of a co-design project in a class in the Masters of Education program at the University of Calgary. The course, and the resulting book, focus primarily on the safe and ethical use of technology in digital learning environments. The course was organized according to four topics based on Farrow’s (2016) Framework for the Ethics of Open Education.This is the first of 2 Versions of this pressbook. Click on Volume 2 for information.

Long Description:
This book is the result of a co-design project in a class in the Masters of Education program at the University of Calgary. The course, and the resulting book, focus primarily on the safe and ethical use of technology in digital learning environments. The course was organized according to four topics based on Farrow’s (2016) Framework for the Ethics of Open Education. Students were asked to review, analyze, and synthesize each topic from three meta-ethical theoretical positions: deontological, consequentialist, and virtue ethical (Farrow, 2016). The chapters in this open educational resource (OER) were co-designed using a participatory pedagogy with the intention to share and mobilize knowledge with a broader audience. The first three chapters in the book discuss specific ethical considerations related to technologies such as Artificial Intelligence (AI) , social networking services (SNS), and 3D printing. The next four chapters shift to a broader discussion of resource sharing, adaptive learning systems, STEM, and assistive technologies. The final two chapters discuss admissions and communications that need to be considered from an institutional perspective. In each of the nine chapters, the authors discuss the connection to the value of technology in education, and practical possibilities of learning technologies for inclusive, participatory, democratic, and pluralistic educational paradigms.

Word Count: 56853

ISBN: 0-88953-438-1

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

This book discusses what is currently known about software engineering, based on an analysis of all the publicly available data. This aim is not as ambitious as it sounds, because there is not a great deal of data publicly available.

The intent is to provide material that is useful to professional developers working in industry; until recently researchers in software engineering have been more interested in vanity work, promoted by ego and bluster.

The material is organized in two parts, the first covering software engineering and the second the statistics likely to be needed for the analysis of software engineering data.

El libro es una obra completa que aborda distintos aspectos importantes de la informática, desde la arquitectura y organización de la computadora hasta la construcción de una PC gamer. En el primer capítulo se explica de manera detallada la arquitectura y organización de los ordenadores, mientras que en el segundo se analizan las diferentes generaciones de ordenadores y su evolución a lo largo del tiempo, llegando hasta la inteligencia artificial. El tercer capítulo está dedicado a la memoria de la computadora y su funcionamiento, mientras que en el cuarto se explican las herramientas necesarias para el mantenimiento y la reparación de la PC, desde la clonación de discos duros hasta la construcción de dispositivos multi boot. Por último, el quinto capítulo se enfoca en las PC gamer's y ofrece una guía completa para los entusiastas de los juegos, brindando un procedimiento paso a paso para construir su propio PC gamer. Este libro es valioso tanto para estudiantes de sistemas como para profesionales de la computación, ya que cubre temas fundamentales como la arquitectura y organización de computadoras, historia y evolución, el diseño de computadoras, la memoria, las herramientas de mantenimiento y reparación de computadoras, y cómo armar una computadora de mayor rendimiento para usuarios jugadores. En resumen, esta obra ofrece información útil y completa sobre la evolución de la computadora, desde sus inicios hasta la actualidad, y brinda herramientas y consejos prácticos para su uso y mantenimiento.

This book was written for an experimental freshman course at the University of Colorado. The course is now an elective that the majority of our electrical and computer engineering students take in the second semester of their freshman year, just before their first circuits course. Our department decided to offer this course for several reasons:

we wanted to pique student' interest in engineering by acquainting them with engineering teachers early in their university careers and by providing with exposure to the types of problems that electrical and computer engineers are asked to solve;
we wanted students entering the electrical and computer engineering programs to be prepared in complex analysis, phasors, and linear algebra, topics that are of fundamental importance in our discipline;
we wanted students to have an introduction to a software application tool, such as MATLAB, to complete their preparation for practical and efficient computing in their subsequent courses and in their professional careers;
we wanted students to make early contact with advanced topics like vector graphics, filtering, and binary coding so that they would gain a more rounded picture of modern electrical and computer engineering.
In order to introduce this course, we had to sacrifice a second semester of Pascal programming. We concluded that the sacrifice was worth making because we found that most of our students were prepared for high-level language computing after just one semester of programming.

We believe engineering educators elsewhere are reaching similar conclusions about their own students and curriculums. We hope this book helps create a much needed dialogue about curriculum revision and that it leads to the development of similar introductory courses that encourage students to enter and practice our craft.Students electing to take this course have completed one semester of calculus, computer programming, chemistry, and humanities.

Concurrently with this course, students take physics and a second semester of calculus, as well as a second semester in the humanities. By omitting the advanced topics marked by asterisks, we are able to cover Complex Numbers through Linear Algebra, plus two of the three remaining chapters. The book is organized so that the instructor can select any two of the three. If every chapter of this book is covered, including the advanced topics, then enough material exists for a two-semester course.

The first three chapters of this book provide a fairly complete coverage of complex numbers, the functions e^x and e^jand phasors. Our department philosophy is that these topics must be understood if a student is to succeed in electrical and computer engineering. These three chapters may also be used as a supplement to a circuits course. A measured pace of presentation, taking between sixteen and eighteen lectures, is sufficient to cover all but the advanced sections in Complex Numbers through Phasors.

The chapter on "linear algebra" is prerequisite for all subsequent chapters. We use eight to ten lectures to cover it. We devote twelve to sixteen lectures to cover topics from Vector Graphics through Binary Codes. (We assume a semester consisting of 42 lectures and three exams.) The chapter on vector graphics applies the linear algebra learned in the previous chapter to the problem of translating, scaling, and rotating images. "Filtering" introduces the student to basic ideas in averaging and filtering. The chapter on "Binary Codes" covers the rudiments of binary coding, including Huffman codes and Hamming codes.

If the users of this book find "Vector Graphics" through "Binary Codes" too confining, we encourage them to supplement the essential material in "Complex Numbers" through "Linear Algebra" with their own course notes on additional topics. Within electrical and computer engineering there are endless possibilities. Practically any set of topics that can be taught with conviction and enthusiasm will whet the student's appetite. We encourage you to write to us or to our editor, Tom Robbins, about your ideas for additional topics. We would like to think that our book and its subsequent editions will have an open architecture that enables us to accommodate a wide range of student and faculty interests.

Throughout this book we have used MATLAB programs to illustrate key ideas. MATLAB is an interactive, matrix-oriented language that is ideally suited to circuit analysis, linear systems, control theory, communications, linear algebra, and numerical analysis. MATLAB is rapidly becoming a standard software tool in universities and engineering companies. (For more information about MATLAB, return the attached card in the back of this book to The MathWorks, Inc.) MATLAB programs are designed to develop the student's ability to solve meaningful problems, compute, and plot in a high-level applications language. Our students get started in MATLAB by working through “An Introduction to MATLAB,” while seated at an IBM PC (or look-alike) or an Apple Macintosh. We also have them run through the demonstration programs in "Complex Numbers". Each week we give three classroom lectures and conduct a one-hour computer lab session. Students use this lab session to hone MATLAB skills, to write programs, or to conduct the numerical experiments that are given at the end of each chapter. We require that these experiments be carried out and then reported in a short lab report that contains (i) introduction, (ii) analytical computations, (iii) computer code, (iv) experimental results, and (v) conclusions. The quality of the numerical results and the computer graphics astonishes students. Solutions to the chapter problems are available from the publisher for instructors who adopt this text for classroom use.

We wish to acknowledge our late colleague Richard Roberts, who encouraged us to publish this book, and Michael Lightner and Ruth Ravenel, who taught "Linear Algebra" and "Vector Graphics" and offered helpful suggestions on the manuscript. We thank C. T. Mullis for allowing us to use his notes on binary codes to guide our writing of "Binary Codes". We thank Cédric Demeure and Peter Massey for their contributions to the writing of "An Introduction to MATLAB" and "The Edix Editor". We thank Tom Robbins, our editor at Addison-Wesley, for his encouragement, patience, and many suggestions. We are especially grateful to Julie Fredlund, who composed this text through many drafts and improved it in many ways. We thank her for preparing an excellent manuscript for production.

Foundations of Computation is a free textbook for a one-semester course in theoretical computer science. It has been used for several years in a course at Hobart and William Smith Colleges. The course has no prerequisites other than introductory computer programming. The first half of the course covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers material on automata, formal languages, and grammar that would ordinarily be encountered in an upper level course in theoretical computer science.

Todos los usuarios de equipos de cómputo (esto es, prácticamente cualquier persona del mundo) tienen contacto con un sistema operativo, y ciertas expectativas acerca de su funcionamiento. ¿Cómo es que un sistema operativo puede gestionar y compartir los recursos de cómputo?

Hoy en día, a pesar de que menos de una decena es conocida por la población en general, hay cientos de sistemas operativos en uso y bajo un desarrollo activo. Cada uno de ellos persigue distintos fines, sea por la arquitectura o la capacidad de los equipos en que se ejecutará, características específicas que implementa, o persigue atraer un segmento distinto de la población. Todos ellos, sin embargo, realizan las mismas operaciones básicas, parten de los mismos fundamentos.

Este libro, diseñado para servir como bibliografía para un curso de Sistemas Operativos para licenciatura, presenta las principales áreas en que se divide el trabajo de un sistema operativo.

El libro está escrito nativamente en español, salvando las inconveniencias en que muchas veces incurren las traducciones técnicas. Los autores (uno mexicano, dos argentinos y uno colombiano) procuraron que el lenguaje y los términos empleados resulten lo más neutros y universales a la región latinoamericana.

Short Description:
This textbook — written by a group of select experts with a focus on different aspects of the design process, from creation to production — addresses the many steps of creating and then producing physical, printed, or other imaged products that people interact with on a daily basis. It covers the concept that, while most modern graphic design is created on computers using design software, the ideas and concepts don’t stay on the computer. The ideas need to be completed in the computer software, then progress to an imaging (traditionally referred to as printing) process. Keywords are highlighted throughout and summarized in a Glossary at the end of the book, and each chapter includes exercises and suggested readings.

Long Description:
This textbook is written by a group of select experts with a focus on different aspects of the design process, from creation to production. Traditionally referred to as graphic design, communication design is the process by which messages and images are used to convey information to a targeted audience. It is within this spectrum that this textbook addresses the many steps of creating and then producing physical, printed, or other imaged products that people interact with on a daily basis. Design itself is only the first step. It is important when conceiving of a new design that the entire workflow through to production is taken into consideration. And while most modern graphic design is created on computers, using design software such as the Adobe suite of products, the ideas and concepts don’t stay on the computer. To create in-store signage, for instance, the ideas need to be completed in the computer software, then progress to an imaging (traditionally referred to as printing) process. This is a very wide-reaching and varied group of disciplines.

Each chapter begins with a list of Learning Objectives, and concludes with Exercises and a list of Suggested Readings on the Summary page. Throughout, key terms are noted in bold and listed again in a Glossary at the end of the book.

Word Count: 69165

ISBN: 978-1-989623-67-1

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

The purpose of this book is to teach new programmers and scientists about the basics of High Performance Computing. Too many parallel and high performance computing books focus on the architecture, theory and computer science surrounding HPC. This book speaks to the practicing chemistry student, physicist, or biologist who need to write and run their programs as part of their research.

The goal of this book is to teach you to think like a computer scientist. I like the way computer scientists think because they combine some of the best features of Mathematics, Engineering, and Natural Science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating trade offs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions.The single most important skill for a computer scientist is problem-solving. By that I mean the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That’s why this chapter is called “The way of the program.”

The single most important skill for a computer scientist is problem solving. The goal of this book is to teach you to think like a computer scientist.

Python is a fun and extremely easy-to-use programming language that has steadily gained in popularity over the last few years. Developed over ten years ago by Guido van Rossum, Python's simple syntax and overall feel is largely derived from ABC, a teaching language that was developed in the 1980's. However, Python was also created to solve real problems and it borrows a wide variety of features from programming languages such as C++, Java, Modula-3, and Scheme. Because of this, one of Python's most remarkable features is its broad appeal to professional software developers, scientists, researchers, artists, and educators. 278 page pdf file.

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.

Short Description:
Return to milneopentextbooks.org to download PDF and other versions of this textNewParaThe Information Literacy User’s Guide introduces students to critical concepts of information literacy as defined for the information-infused and technology-rich environment in which they find themselves. This book helps students examine their roles as information creators and sharers and enables them to more effectively deploy related skills. This textbook includes relatable case studies and scenarios, many hands-on exercises, and interactive quizzes.

Long Description:
Good researchers have a host of tools at their disposal that make navigating today’s complex information ecosystem much more manageable. Gaining the knowledge, abilities, and self-reflection necessary to be a good researcher helps not only in academic settings, but is invaluable in any career, and throughout one’s life. The Information Literacy User’s Guide will start you on this route to success.

The Information Literacy User’s Guide is based on two current models in information literacy: The 2011 version of The Seven Pillars Model, developed by the Society of College, National and University Libraries in the United Kingdom1 and the conception of information literacy as a metaliteracy, a model developed by one of this book’s authors in conjunction with Thomas Mackey, Dean of the Center for Distance Learning at SUNY Empire State College.2 These core foundations ensure that the material will be relevant to today’s students.

The Information Literacy User’s Guide introduces students to critical concepts of information literacy as defined for the information-infused and technology-rich environment in which they find themselves. This book helps students examine their roles as information creators and sharers and enables them to more effectively deploy related skills. This textbook includes relatable case studies and scenarios, many hands-on exercises, and interactive quizzes.

Word Count: 41806

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

This book is written as an introductory text, meant for those with little or no experience with computers or information systems. While sometimes the descriptions can get a little bit technical, every effort has been made to convey the information essential to understanding a topic while not getting bogged down in detailed terminology or esoteric discussions.

Welcome to Information Systems for Business and Beyond. In this book, you will be introduced to the concept of information systems, their use in business, and the larger impact they are having on our world.

En este libro se investigó los procesos de implementación, pruebas y mantenimiento de la ingeniería del software y se documentó los diferentes tipos de pruebas de software para validar el correcto funcionamiento de un software, se documentó también los procesos de evolución de un software para lograr un correcto mantenimiento del software. Este libro tiene como objetivo aplicar los conceptos y teorías de validación del software con el fin de crear de software de calidad, confiable, que se encuentre disponible, protegido y seguro, para que el profesional de sistemas informáticos sea capaz de gestionar con eficiencia y en ambientes éticos y de responsabilidad proyectos inmersos en la creación software. Se investigó varios libros llegando a realizar un compendio de las partes más importantes y se llegó a la conclusión de que la ingeniería del software proporciona varias técnicas para la evaluación y validación del software y varias metodologías para el desarrollo de software confiable y seguro que el profesional puede utilizar dependiendo las diferentes necesidades, situaciones o proyectos a desarrollar.

En este libro se investigó los fundamentos de la ingeniería del software y se documentó los conceptos básicos del software y los procesos para la creación de software, se documentó también cómo llevar a cabo un análisis de requerimientos de software, cuáles son los tipos de requerimientos, cómo obtenerlos, documentarlos, validarlos y modelarlos mediante diferentes tipos de diagramas. Este libro tiene como objetivo aplicar los conceptos y teorías de administración para la creación de software de calidad mediante las diferentes metodologías, técnicas y herramientas de la ingeniería del software para que el profesional de sistemas informáticos sea capaz de gestionar con eficiencia y en ambientes éticos y de responsabilidad proyectos inmersos en la creación software. Se investigó varios libros llegando a realizar un compendio de las partes más importantes y se llegó a la conclusión de que la ingeniería del software proporciona varias metodologías para el desarrollo del software y varios modelos para el diseño de software que el profesional puede utilizar dependiendo las diferentes necesidades o las diferentes situaciones o proyectos a desarrollar.

Este libro es una introducción al area de la Inteligencia Artificial y presenta algunas de las aplicaciones que puede tener en la vida real en diversos campos de aplicación, El libro esta compuesto de ocho capítulos los cuales abarcan los antededentes, algunos conceptos importantes para la resolución de problemas como es la representación de conocimiento, el planteamiento de los problemas. Asimismo se menciona la teoría de agentes por un lado y por otro lo que es el aprendizaje computacional. Otra area que se aborta es la computación evolutivo y los algoritmos bioinspirados para la resolución de problemas, dandole enfasis a los problemas de optimizacion. Por ultimo se menciona una nueva tendencia en el area de las ciencias computacionales como es el uso de las GPUs para trabajar de una manera mas rapida al realizar el procesamiento en paralelo.

An Open Education Resource

Short Description:
Mathematical modelling plays an increasingly important role in almost any area of life sciences, and this interactive textbook focuses on the areas of population ecology, infectious diseases, immunology and cell dynamics, gene networks and pharmacokinetics. It is aimed at anyone who is interested in learning about how to model biological systems, including undergraduate and postgraduate mathematics students who have not studied mathematical biology before, life-sciences students with an interest in modelling, and post-16 mathematics students interested in university-level material. Some mathematical knowledge is assumed, and the mathematical models used are all in the form of ordinary differential equations.

Word Count: 41598

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

This book introduces concepts in mobile, autonomous robotics to 3rd-4th year students in Computer Science or a related discipline. The book covers principles of robot motion, forward and inverse kinematics of robotic arms and simple wheeled platforms, perception, error propagation, localization and simultaneous localization and mapping. The cover picture shows a wind-up toy that is smart enough to not fall off a table just using intelligent mechanism design and illustrate the importance of the mechanism in designing intelligent, autonomous systems. This book is open source, open to contributions, and released under a creative common license.