Paul Hudak was Professor of Computer Science at Yale University, Connecticut, from 1982 to 2015. He was best known for his contributions to the development of the Haskell programming language. A skilled saxophonist and jazz musician, the combination of his enthusiasm for music and computer science led him to create the Euterpea library for representing music in Haskell. Donya Quick is Research Assistant Professor of Music and Computation at Stevens Institute of Technology, New Jersey. Her research explores the intersection of artificial intelligence and computational linguistics with music, and includes working on an automated composition system called Kulitta. In addition, she is also involved in the MUSICA project for interactive improvisation and composition by conversion, which is part of the DAPRA Communicating with Computers program.

'The selection of material is coherent and satisfying, and the book would be suitable for anyone with an interest in computer music, regardless of programming background.' Henrik Nilsson, University of Nottingham

• 1. Computer music, Euterpea, and Haskell; 2. Simple music; 3. Polymorphic and higher-order functions; 4. A musical interlude; 5. Syntactic magic; 6. More music; 7. Qualified types and type classes; 8. From music to MIDI; 9. Interpretation and performance; 10. Self-similar music; 11. Proof of induction; 12. An algebra of music; 13. L-Systems and generative grammars; 14. Random numbers … and Markov chains; 15. Basic input/output; 16. Higher-order types and monads; 17. Musical user interfaces; 18. Sound and signals; 19. Euterpea's signal functions; 20. Spectrum analysis; 21. Additive and subtractive synthesis; 22. Amplitude and frequency modulation; 23. Physical modeling.

Paul Hudak was Professor of Computer Science at Yale University, Connecticut, from 1982 to 2015. He was best known for his contributions to the development of the Haskell programming language. A skilled saxophonist and jazz musician, the combination of his enthusiasm for music and computer science led him to create the Euterpea library for representing music in Haskell. Donya Quick is Research Assistant Professor of Music and Computation at Stevens Institute of Technology, New Jersey. Her research explores the intersection of artificial intelligence and computational linguistics with music, and includes working on an automated composition system called Kulitta. In addition, she is also involved in the MUSICA project for interactive improvisation and composition by conversion, which is part of the DAPRA Communicating with Computers program.

'The selection of material is coherent and satisfying, and the book would be suitable for anyone with an interest in computer music, regardless of programming background.' Henrik Nilsson, University of Nottingham

• 1. Computer music, Euterpea, and Haskell; 2. Simple music; 3. Polymorphic and higher-order functions; 4. A musical interlude; 5. Syntactic magic; 6. More music; 7. Qualified types and type classes; 8. From music to MIDI; 9. Interpretation and performance; 10. Self-similar music; 11. Proof of induction; 12. An algebra of music; 13. L-Systems and generative grammars; 14. Random numbers … and Markov chains; 15. Basic input/output; 16. Higher-order types and monads; 17. Musical user interfaces; 18. Sound and signals; 19. Euterpea's signal functions; 20. Spectrum analysis; 21. Additive and subtractive synthesis; 22. Amplitude and frequency modulation; 23. Physical modeling.

Paul Hudak was Professor of Computer Science at Yale University, Connecticut, from 1982 to 2015. He was best known for his contributions to the development of the Haskell programming language. A skilled saxophonist and jazz musician, the combination of his enthusiasm for music and computer science led him to create the Euterpea library for representing music in Haskell. Donya Quick is Research Assistant Professor of Music and Computation at Stevens Institute of Technology, New Jersey. Her research explores the intersection of artificial intelligence and computational linguistics with music, and includes working on an automated composition system called Kulitta. In addition, she is also involved in the MUSICA project for interactive improvisation and composition by conversion, which is part of the DAPRA Communicating with Computers program.

'The selection of material is coherent and satisfying, and the book would be suitable for anyone with an interest in computer music, regardless of programming background.' Henrik Nilsson, University of Nottingham

• 1. Computer music, Euterpea, and Haskell; 2. Simple music; 3. Polymorphic and higher-order functions; 4. A musical interlude; 5. Syntactic magic; 6. More music; 7. Qualified types and type classes; 8. From music to MIDI; 9. Interpretation and performance; 10. Self-similar music; 11. Proof of induction; 12. An algebra of music; 13. L-Systems and generative grammars; 14. Random numbers … and Markov chains; 15. Basic input/output; 16. Higher-order types and monads; 17. Musical user interfaces; 18. Sound and signals; 19. Euterpea's signal functions; 20. Spectrum analysis; 21. Additive and subtractive synthesis; 22. Amplitude and frequency modulation; 23. Physical modeling.