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Learning Programming Using Matlab

  • Book
  • © 2007

Overview

Authors:
  1. Khalid Sayood

    1. Department of Electrical Engineering University of Nebraska, Lincoln, USA

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Part of the book series: Synthesis Lectures on Electrical Engineering (SLEE)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-vi
    Download chapter PDF

  2. Introduction

    • Khalid Sayood
    Pages 1-3

  3. Introduction to Programming

    • Khalid Sayood
    Pages 5-13

  4. Introduction to MATLAB

    • Khalid Sayood
    Pages 15-27

  5. Selecting Between Alternatives

    • Khalid Sayood
    Pages 29-44

  6. Loops

    • Khalid Sayood
    Pages 45-57

  7. Input and Output

    • Khalid Sayood
    Pages 59-71

  8. Functions

    • Khalid Sayood
    Pages 73-81
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About this book

This book is intended for anyone trying to learn the fundamentals of computer programming. The chapters lead the reader through the various steps required for writing a program, introducing the MATLABr® constructs in the process. MATLABr® is used to teach programming because it has a simple programming environment. It has a low initial overhead which allows the novice programmer to begin programming immediately and allows the users to easily debug their programs. This is especially useful for people who have a “mental block” about computers. Although MATLABr® is a high-level language and interactive environment that enables the user to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran, the author shows that it can also be used as a programming learning tool for novices. There are a number of exercises at the end of each chapter which should help users become comfortable with the language.

Authors and Affiliations

  • Department of Electrical Engineering University of Nebraska, Lincoln, USA

    Khalid Sayood

About the author

Khalid Sayood is the Henson Professor of Engineering in the Electrical Engineering Department, University of Nebraska - Lincoln. He received his PhD in 1982 from Texas A&M University. His areas of research include: search patterns in data; data compression; joint-source channel coding; and various aspects of bioinformatics.

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