This book describes how to think about computer programs, and how to use mathematics as part of that thinking. Many books and on-line tutorials teach the basics of coding: the syntax of the language, and how to translate an algorithm into code. But how do you come up with that algorithm? And how can you be confident that the algorithm is correct?
The first part of the book considers small programs that use a loop, and how to demonstrate their correctness using loop invariants. It also covers some algorithms and algorithmic techniques that every programmer should know. The second half of the book considers slightly larger programs. It teaches the basics of modularisation, splitting up a program into manageable chunks. It teaches about abstract datatypes, values within a program that can be treated as mathematical values: how to specify their behaviours formally; and how to treat them as abstract mathematical objects when programming. It also teaches how to use data structures to represent abstract datatypes, and what it means for such a representation to be correct. And it presents some abstract datatypes and data structures that every programmer should know.
The book is aimed at those who want to obtain a better understanding of programs they work on, and so become better programmers. The target audience ranges from those who are just starting out, to professional programmers. The book aims to be pragmatic: the philosophy is to include enough formality to be convincing and to guide the programmer towards correct code, without getting bogged down in the mathematics.
Gavin Lowe is an Emeritus Professor of Computer Science and tutorial fellow at St. Catherine's College, Oxford. He was a professor at the University of Oxford and President of the Senior Common Room at St. Catherine's College. His research interests included the fields of concurrency and computer security and he developed the cryptographic protocol analysis tool Casper. He is a distinguished teacher, winning awards in 2008 and 2010 and is responsible (along with Peter Millican) for the development and establishment of a new joint degree in Computer Science and Philosophy at the University of Oxford in 2012. He received his undergraduate degree in mathematics, a Master's in computation, and his doctorate from Oxford.
