Foundations of Computer Science
by Lawrence C Paulson
Publisher: University of Cambridge 2000
Number of pages: 155
This text teaches programming and presents some fundamental principles of computer science, especially algorithm design. The programming in this course is based on the language ML and mostly concerns the functional programming style. The course also covers basic methods for estimating efficiency.
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by Peter Van Roy, Seif Haridi - 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.
by Carroll Morgan - Prentice-Hall
Rigorous treatment of most elementary program-development constructs, including iteration, recursion, procedures, parameters, modules and data refinement. Additions include more material on data refinement, recursively defined types, and case studies.
by John C. Reynolds - Prentice Hall
Read this book if you need a much deeper understanding of programming: the need to carefully structure a program to avoid being overwhelmed by its complexity, or the need to insure reliability beyond what can he achieved by debugging.
by Sergey A. Babkin - CreateSpace
This book provides an advanced guide to the issues of the parallel and multithreaded programming. It goes beyond the high-level design of the applications, into the details that are often overlooked but vital to make the programs work.