Download MCAD/MCSD Visual Basic .NET Certification All-in-One Exam Guide PDF

MCAD/MCSD Visual Basic .NET Certification All-in-One Exam Guide

About Book:

Published : McGraw-Hill/Osborne Media, 2003

ISBN 10: 0072131306 - ISBN 13: 9780072131307.

"All-in-One is all you need."

Prepare the three required exams for the MCAD / MCSD Visual Basic .NET passed certification

Get complete coverage of the material in MCAD / MCSD Visual Basic .NET test certification 70-305, 70-306, 70-310 and within this comprehensive reference. Written by expert application developer and trainer, this volume contains objectives audit dual purpose at the beginning of each chapter, exam tips votes, sample questions and real-life scenarios. This authoritative resource serves as a study tool full certification and an indispensable reference in the workplace.

Full details of all exam objectives, including:

• Visual Basic .NET and Visual Studio .NET program
• With arrays, strings and collections
• Implement polymorphism, inheritance and interfaces
• montages with the Visual Basic compiler to create
• Working with ADO.NET and the DataSet class
• Windows testing and deploying Forms applications and Web Forms
• Instantiate and invoke or COM COM +
• Create Network Services TCP / IP
• Implementing SOAP and XML Serialization

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R. S. Aggarwal has written several books for students in school and competitions. These books are known for their simple and easy to style. He studied Kirori Mal College, Delhi. After graduating from a master's degree, he entered the University College Meerut NAS. After receiving his doctorate, he became a Reader NAS Delhi University College. He chose voluntary retirement in 2003.

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101 Short Cuts in any math to the secrets of the art of calculation switch. This book will increase your computing power and so you can get more from the mathematics that we know today. You will soon be amazed at their ability to quickly once to solve complex problems. saving clear and concise examples of around 101 links time math faster, easier to add, subtract, multiply and divide forms are included. This amazing little book shows simple math tricks in an accessible and attractive way, the children will respond. In addition to the 101 tricks, the text contains a review of the relevant mathematical concepts, real-world applications, mathematical curiosities, illustrations, and board games. You are not a calculator, or in many cases even a pencil, you need to reach the right answers. A few simple links have to solve the fundamental problems in record time.

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Rockmaker Gordon is the editor of the design of texts and in that capacity has helped to develop a number of college textbooks for engineering, science and mathematics. The former practicing electrical engineer, Mr. Rockmaker has long been associated with an active interest in her field of study at home self-study methods led him to write this book.

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Khalid Sayood offers a comprehensive introduction to the underlying compression techniques theory today the instructions of their applications using several examples to explain concepts. Covering the area of ​​data compression Introduction to data compression, including lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, based compression context and vector quantization scale. Khalid Sayood provides a working knowledge of data compression, giving the reader the tools to develop a complete and concise package compression at the end of his book.

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Algorithmics basics book for a complete cycle of Computer Engineering degree is. The book includes chapters on basic algorithms, asymptotic notation, dynamic programming, probabilistic algorithms, computational complexity, and analysis of algorithms. In addition, the book contains many developed to help better understand the concepts examples. This book is essential for engineering students and prepare GATE IES.

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Data Mining: Concepts and Techniques, Second Edition han, jiawei|author;kamber, micheline

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Like the first edition, voted the most popular book of mining by readers KD Nuggets, this book explores the concepts and techniques to uncover hidden patterns in large data sets, focusing on issues regarding their feasibility, usefulness , efficiency and scalability. However, since the publication of the first edition, it has made great progress in developing new methods of data mining, systems and applications. This new edition substantially improves the first edition and added new chapters to address recent developments in mining complex data types, including data flow, data stream, data structured chart data networks social and multi-relational data.

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Professor Ivan Bratko led groups IA of the Faculty of Computer and Information Sciences, both at the University of Ljubljana and Jozef Stefan Institute in Slovenia. He taught Prolog worldwide, and the implementation of Prolog experts in medical systems, robot programming, computer modeling and chess qualitative research.

Features
- Combined approach to Prolog and AI allows flexibility for learning and teaching
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- Prolog programs for use in projects and research are available for download on the World Wide Web.
New for this edition:
- Constraint Logic Programming
- Qualitative Reasoning
- Inductive Logic Programming
- The addition of belief networks for handling uncertainty
- A major update on machine learning
- Additional techniques for improving program efficiency
- Meta-programming is updated to show how Prolog can be used to implement other languages (including object-oriented programming)
- A newCompanion Web Site will contain further teaching materials and updates

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Stuart Russell was born in 1962 in Portsmouth, England. He received his BA in Physics with first class honors from Oxford University in 1982 and his doctorate in computer science from Stanford in 1986. He then joined the faculty of the University of California, Berkeley, where he is a professor of computer science, director of the Center for Intelligent Systems, and the owner of Smith-Zadeh Chair in engineering. In 1990 he was awarded the Presidential Young Investigator of the National Science Foundation, and in 1995 was cowinner computers and thought Award. He was Professor Miller of the University of California in 1996 and was appointed chairman of a chancellor in 2000. In 1998 he gave the Forsythe Memorial Lectures at Stanford University. He is a member and former member of the Executive Council of the American Association for Artificial Intelligence. He has published over 100 articles on a wide range of topics in artificial intelligence. His other books include the use of knowledge in the analogy and induction and (with Eric Wefald) Doing the right thing: Studies in bounded rationality.

Peter Norvig is currently Director of Research at Google, Inc., and was the director responsible for the basic Web search algorithms from 2002 to 2005. He is a member of the American Association for Artificial Intelligence and the Association for Computing Machinery. Previously, he was head of the Computer Science Division of NASA Ames Research Center, where he supervised the research and development of NASA in artificial intelligence and robotics, and scientific director of Junglee, where he helped develop one of the first Internet information retrieval services. He received a B. S. in Applied Mathematics from Brown University and a doctorate in computer science from the University of California, Berkeley. He received the Distinguished Alumnus award and innovation Berkeley Engineering Achievement Medal and the NASA Exceptional. He was a professor at the University of Southern California and member of the research faculty at Berkeley. His other books are programming paradigms AI: Case Studies in Common Lisp and Verbmobil: A translation system Faceto-face dialogue and UNIX intelligent assistance systems.

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