Computer Science Logo Style (Brian Harvey)

 
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Computer Science Logo Style (Brian Harvey)

This series is for everyone interested in computer programming because it's entertaining, including adults and teenagers. The three volumes explore computer science from the viewpoints of symbolic computation and artificial intelligence using the Logo programming language as the vehicle.

A dialect of Lisp called Logo is utilised in the most sophisticated computer science research projects, particularly in artificial intelligence. Functional programming methods (such as higher-order functions and recursion) are highlighted throughout the series, but traditional sequential programming is also applied as necessary.

A reader who has used computers and is interested in learning the concepts behind them is the target audience for Volume 1 Symbolic Computing. In contrast to the graphics that most people identify with Logo and the numerical computation that more conventional languages like Pascal and C++ are most comfortable with, symbolic computing involves the manipulation of words and sentences. Recursion is a fundamental concept in computer science that other texts treat as obscure and challenging. This volume is well known for its extensive and understandable exposition of recursion. Both the free Berkeley Logo interpreter created by the author and the Logo programmes found in these publications is accessible online or on diskettes.

The reader with some prior knowledge of symbolic Logo programming is the target audience for Volume 2 Advanced Techniques. It mixes extra tutorial chapters on more complex Logo features with examples of how those features were used for real-world programming tasks. The projects include everything from games (such as a solitaire programme) to utilities (such as a computer that converts BASIC scripts into logos).

The reader of Volume 3 Beyond Programming discovers that computer science encompasses more formal ways of thinking about computing, such as automata theory and discrete mathematics, in addition to computer programming. In contrast to the majority of publications on those topics, this volume presents the concepts as practical, implementable computer programmes. Examples include a programme that converts from the executable Finite State Machine notation to the declarative Regular Expression formalism, as well as a Pascal compiler created in Logo.

Ebook Details

Author(s)
About the Authors
The University of California, Berkeley Lecturer in Computer Science Brian Harvey. Since 1979, he has also provided programming instruction to instructors and students in high schools. He is the interpreter's chief developer for Berkeley Logo.
Publisher
Published
Published Date / Year
second edition edition (February 14, 1997)
Hardcover
Volume 1: 340 pages; Volume 2: 352 pages; Volume 3: 384 pages
eBook Format
HTML and PDF Files
ISBN-10
0262581485
ISBN-13
978-0262581486

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