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: Concepts, Techniques, and Models of Computer ProgrammingConcepts, Techniques, and Models of Computer Programming
by - The MIT Press
Covered topics: concurrency, state, distributed programming, constraint programming, formal semantics, declarative concurrency, message-passing concurrency, forms of data abstraction, building GUIs, transparency approach to distributed programming.
(18451 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.
(9609 views)
Book cover: Foundations of Computer ScienceFoundations of Computer Science
by
This text is an introduction to the formal study of computation. The course will provide students with a broad perspective of computer science and will acquaint them with various formal systems on which modern computer science is based.
(8248 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 ...
(3721 views)