Logo

Computer Science Logo Style

Large book cover: Computer Science Logo Style

Computer Science Logo Style
by

Publisher: The MIT Press
ISBN/ASIN: 0262581515
ISBN-13: 9780262581516
Number of pages: 1068

Description:
This series is for people, adults and teenagers, who are interested in computer programming because it's fun. The three volumes use the Logo programming language as the vehicle for an exploration of computer science from the perspective of symbolic computation and artificial intelligence.

Home page url

Download or read it online for free here:
Download link 1
Download link 2
Download link 3

(multiple PDF files)

Similar books

Book cover: The Fourth Paradigm: Data-Intensive Scientific DiscoveryThe Fourth Paradigm: Data-Intensive Scientific Discovery
by - Microsoft Research
The Fourth Paradigm, the collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.
(13375 views)
Book cover: CS for AllCS for All
by - Harvey Mudd College
Our objective is to provide an introduction to computer science as an intellectually vibrant field rather than focusing exclusively on computer programming. We emphasize concepts and problem-solving over syntax and programming language features.
(5683 views)
Book cover: A Balanced Introduction to Computer ScienceA Balanced Introduction to Computer Science
by - Prentice Hall
The book covers concepts in computing that are most relevant to the beginning student, including computer terminology, the Internet and World Wide Web, the history of computing, the organization and manufacture of computer technology, etc.
(27769 views)
Book cover: Building Blocks for Theoretical Computer ScienceBuilding Blocks for Theoretical Computer Science
by - University of Illinois, Urbana-Champaign
This book provides a survey of basic mathematical objects, notation, and techniques useful in later computer science courses. It gives a brief introduction to some key topics: algorithm analysis and complexity, automata theory, and computability.
(7912 views)