Die optimale Prüfungsvorbereitung anhand 100 Aufgaben zur Technischen Informatik mit ausführlicher Lösung. Zu jedem Kapitel wird eine Einleitung mit Link auf die Videoaufzeichnung einer zugehörigen Vorlesung am Karlsruher Institut für Technologie gegeben. Außerdem können in einem Forum Fragen und Probleme zu allen Aufgaben diskutiert werden. Behandelt werden die Themen: Schaltnetze und Schaltwerke, Complementary Metal Oxide Semiconductor (CMOS), Binary Decision Diagram (BDD), Zahlendarstellung, Kodierung und Fehlererkennung, Verschlüsselung, Rechnerarchitektur, Programmierung, Assembler, Betriebssysteme, Dateiorganisation und weitere.
Takes readers through the process of building a modern ray tracer from scratch in C++. This book explains various concepts and processes with the aid of diagrams, ray-traced images, and sample code. It is suitable for undergraduate and graduate computer graphics courses and for individual programmers who would like to learn ray tracing.
Based on course notes of SIGGRAPH course teaching techniques for real-time rendering of volumetric data and effects; covers both applications in scientific visualization and real-time rendering. Starts with the basics (texture-based ray casting) and then improves and expands the algorithms incrementally. Book includes source code, algorithms, diagrams, and rendered graphics.
You know the Agile and Lean development buzzwords, you´ve read the books. But when systems need a serious overhaul, you need to see how it works in real life, with real situations and people. Lean from the Trenches is all about actual practice. Every key point is illustrated with a photo or diagram, and anecdotes bring you inside the project as you discover why and how one organization modernized its workplace in record time.
KEY SELLING POINTS Disarming take on a core computer science topic Carefully presented examples Helpful diagrams and fully annotated code samples AUDIENCE This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Code examples are written in Python.
This textbook mainly addresses beginners and readers with a basic knowledge of object-oriented programming languages like Java or C sharp, but with little or no modeling or software engineering experience thus reflecting the majority of students in introductory courses at universities. Using UML, it introduces basic modeling concepts in a highly precise manner, while refraining from the interpretation of rare special cases. After a brief explanation of why modeling is an indispensable part of software development, the authors introduce the individual diagram types of UML (the class and object diagram, the sequence diagram, the state machine diagram, the activity diagram, and the use case diagram), as well as their interrelationships, in a step-by-step manner. The topics covered include not only the syntax and the semantics of the individual language elements, but also pragmatic aspects, i.e., how to use them wisely at various stages in the software development process. To this end, the work is complemented with examples that were carefully selected for their educational and illustrative value. Overall, the book provides a solid foundation and deeper understanding of the most important object-oriented modeling concepts and their application in software development. An additional website (www.uml.ac.at) offers a complete set of slides to aid in teaching the contents of the book, exercises and further e-learning material.
Scilab is a free open-source software package for scientific computation. This is the first book to focus on simulation and modeling, and to put a major emphasis on Scicos and discuss it in depth. This new edition includes expanded chapters and major rewrites. Scilab and its Scicos block diagram graphical editor, with a special emphasis on modeling and simulation tools. The first part is a detailed Scilab tutorial, and the second is dedicated to modeling and simulation of dynamical systems in Scicos. The concepts are illustrated through numerous examples, and all code used in the book is available to the reader.
This concise, accessible text provides a thorough introduction to quantum computing - an exciting emergent field at the interface of the computer, engineering, mathematical and physical sciences. Aimed at advanced undergraduate and beginning graduate students in these disciplines, the text is technically detailed and is clearly illustrated throughout with diagrams and exercises. Some prior knowledge of linear algebra is assumed, including vector spaces and inner products. However, prior familiarity with topics such as tensor products and spectral decomposition is not required, as the necessary material is reviewed in the text.