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 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 Karl Seguin - codingintro.com
This book will teach you the fundamentals of programming and act as a foundation for whatever your programming goals may be. Rather than ignore complexities, we will face them head-on, in small steps, and unshroud the mysteries of computer language.
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.