Language : English
Published : 2014-06-02
Pages : 400
The Digital Information Age
THE DIGITAL INFORMATION AGE SECOND EDITION by bestselling author Roman Kuc is designed for students considering electrical engineering as a major, and non-engineering majors interested in understanding digital communication systems. Communication between humans and smart devices takes place through sensors and actuators, with logic circuits manipulating binary data to implement useful tasks. The text then examines the basic problem of communicating audio and video data over a network connecting computers and smart devices. System operation is described from analog-to-digital conversion, signals that encode data, through the processing that extracts data from noise-corrupted signals and error correction techniques, to data packet transmission over wired and wireless networks. Basic topics from probability and digital signal processing are presented as needed and illustrated with relevant examples. Ideas are illustrated and extended by problems and projects completed in Excel, with sophistication that evolves along with the course, starting with spreadsheet formulas and graphs, through macros, to simple Visual Basic for Applications (VBA) programming that produces animations that simulate system operation. The accrued facility with Excel techniques is a course outcome valued by students in all majors.
his book is a quantitative text, which focuses on the real issues behind serious modeling and analysis of communications networks. The author covers all the necessary mathematics and theory in order for students to understand the tools that optimize computer networks today.
- Covers both classical (e.g. queueing theory) and modern (e.g. pricing) aspects of networking
- Integrates material on communication networks with material on modeling/analyzing and designing such networks
- Includes a Solution Manual
Using Arduino, you can join the DIY movement and build an amazing spectrum of projects – limited only by your imagination! Until now, however, most Arduino books and manuals have demanded extensive “geekitude.” Not this one: it assumes you know nothing about Arduino or electronics, guides you gently up the learning curve, walks you through several real projects, and leaves you ready to do anything you want with Arduino. This lush, 4-color guide is loaded with step-by-step photos that guide you every step of the way. Your guide, John Baichtal, founding member of legendary hackerspace Twin Cities Maker, is author of Hack This! 24 Incredible Hackerspace Projects from the DIY Movement: he’s one of the world’sleading experts in getting newcomers up-to-speed with hardware projects. Baichtal’s Arduino for Beginners starts with an easy crash course in Arduino and electronics, and teaches all you need to know about safety, tools, soldering, and more. You’ll learn how to: * Detect intrusion with lasers and IR * Set up Arduino Bluetooth connections * Create useful Arduino programs from scratch * Use sensors and water controls * Conrol DC motors, servos, and stepper motors * Create projects that keep track of time * Safely control high-voltage circuits * Harvest useful parts from junk electronics, and more Along the way, you won’t just walk through building several practical projects: you’ll learn how to construct professional enclosures, so your projects won’t just look like tangled wires and bare circuit boards – they’ll actually fit and function comfortably in your home!
For undergraduate systems analysis and design courses. This Global Edition has been edited to include enhancements making it more relevant to students outside the United States Kendall and Kendall’s Systems Analysis and Design, 9e, is a human-centered book that concisely presents the latest systems development methods, tools, and techniques to students in an engaging and easy-to-understand manner.
This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.