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: Handbook of Knowledge RepresentationHandbook of Knowledge Representation
by - Elsevier Science
Knowledge Representation is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation.
(7751 views)
Book cover: Foundations of ComputationFoundations of Computation
by - Hobart and William Smith Colleges
The book covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers automata, formal languages, and grammar that would ordinarily be encountered in an upper level course.
(9259 views)
Book cover: Computer Science Introduction to Wolfram MathematicaComputer Science Introduction to Wolfram Mathematica
by - Ryerson University
The book is an introduction to Wolfram Mathematica written in computer science spirit, using this language not just for mathematics and equation solving but for all sorts of computer science examples and problems from the standard CS101 exercises...
(3843 views)
Book cover: Computational and Inferential Thinking: The Foundations of Data ScienceComputational and Inferential Thinking: The Foundations of Data Science
by - GitBook
Data Science is about drawing useful conclusions from large and diverse data sets through exploration, prediction, and inference. Our primary tools for exploration are visualizations and descriptive statistics, for prediction are machine learning ...
(3421 views)