A new generation of students needs to learn about the interplay between computer science and statistics but do not wish to learn a heavy mathematical overhead. Elements of Pattern Analysis provides the textbook they need: applications and key topics such as visualization, hypothesis testing, patterns in strings, data mining, random graphs are all given crisp treatments. Appendices summarise background topics in optimization, statistics and formal language theory. Computer scientists, electrical engineers and computational biologists will love this book.