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.
Home page url
Download or read it online for free here:
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 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.
by Karthik Naidu - GitBook
These are engineer's notes on problem solving. They are ideally suited as practice material for coding interviews. Each post has 5 sections: problem statement, examples, algorithm, code, test cases, and a discussion on time-complexity.
by Jon Bentley - Addison-Wesley Professional
The book focuses on choosing the right algorithms and on showing how to solve problems effectively. Each chapter frames a particular programming task (sorting numbers, creating anagrams, counting the words). Code examples are written in C and C++.