Introducing functional programming in the Haskell language, this book is written for students and programmers with little or no experience; It emphasises the process of crafting programmes, problem solving and avoiding common programming pitfalls. This textbook is required reading for COMP1100.

This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. Preliminary reading for COMP1730.

This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Preliminary reading for COMP1730.

Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Prescribed text for COMP2610.