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Find materials for this course in the pages linked along the left. No enrollment or registration. Freely browse and use OCW materials at your own pace. There's no signup, and no start or end dates. Knowledge is your reward.

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Use OCW to guide your own life-long learning, or to teach others. We don't offer credit or certification for using OCW. This text is designed to introduce and expand upon material related to the C programming language and embedded controllers, and specifically, the Arduino development system and associated Atmel ATmega microcontrollers. It is intended to fit the time constraints of a typical 3 to 4 credit hour course for electrical engineering technology and computer engineering technology programs, although it could also fit the needs of a hardware-oriented course in computer science.

As such, the text does not attempt to cover every aspect of the C language, the Arduino system or Atmel AVR microcontrollers. The first section deals with the C language itself. It is assumed that the student is a relative newcomer to the C language but has some experience with another high level language, for example, Python. This means concepts such as conditionals and iteration are already familiar and the student can get up and running fairly quickly. From there, the Arduino development environment is examined.

Unlike the myriad Arduino books now available, this text does not simply rely on the Arduino libraries. As convenient as the libraries may be, there are other, sometimes far more efficient, ways of programming the boards. This more generic approach means it will be easier for the student to use other processors and development systems instead of being tightly tied to one platform.

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It covers enterprise libraries and frameworks, and in particular those useful for doing web development. The book is structured in five parts. 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. This book focuses on the discrete Fourier transform DFT , discrete convolution, and, particularly, the fast algorithms to calculate them. These topics have been at the center of digital signal processing since its beginning, and new results in hardware, theory and applications continue to keep them important and exciting.

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This book uses an index map, a polynomial decomposition, an operator factorization, and a conversion to a filter to develop a very general and efficient description of fast algorithms to calculate the discrete Fourier transform DFT. The work of Winograd is outlined, chapters by Selesnick, Pueschel, and Johnson are included, and computer programs are provided. 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.

Python Scripting for Computational Science

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. 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. 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. How to Think Like a Computer Scientist: Learning with Python is an introduction to programming using Python.

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 , 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. All other parts of a computer can be seen as just providing information for the CPU to operate on.

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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. 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.

Hans Petter Langtangen

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. 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. Introduction to Computer Graphics is a free, on-line textbook covering the fundamentals of computer graphics and computer graphics programming. This book is meant for use as a textbook in a one-semester course that would typically be taken by undergraduate computer science majors in their third or fourth year of college.

Lists with This Book. This book is not yet featured on Listopia. This is a very practical book for scientists and researchers needing to get things done. I wished I had this book 5 years ago, would recommend it to any starting researcher or researcher looking for an adequate environment to glue his computational research efforts.

Python Scripting for Computational Science by Hans Petter Langtangen

Apr 28, Masoom added it. The book gives a flavor to the one who needs robust programming. If you have just started then this might be the novice one for you!! Fabricio S Kyt rated it liked it Apr 09, Christopher Eckman rated it really liked it Aug 09, Craig Curtin rated it it was amazing Jul 30, Amanda rated it really liked it Jul 17, Richard Turner rated it it was amazing Mar 26, Tim rated it really liked it Sep 21, Giancarlo rated it really liked it Jul 18, Scott Woolston rated it it was amazing Nov 08, Ketil rated it really liked it Aug 24, Daniel rated it it was amazing Nov 15, Christian rated it it was amazing Sep 28, Marco Spadini rated it it was amazing Jun 25,