This book is intended to introduce coding theory and information theory to undergraduate
students of mathematics and computer science. It begins with a review of probablity theory as
applied to finite sample spaces and a general introduction to the nature and types of codes.
The two subsequent chapters discuss information theory: efficiency of codes the entropy of
information sources and Shannon's Noiseless Coding Theorem. The remaining three chapters deal
with coding theory: communication channels decoding in the presence of errors the general
theory of linear codes and such specific codes as Hamming codes the simplex codes and many
others.
