The course is organized along ten general topics as follows:

• arithmetic and number theoretic algorithms
• stochastic processes 1: Markov chains and random walks
• stochastic processes 2: modeling deterministic sequences
• stochastic processes 3: continuous-time processes
• combinatorial optimization and constraint problems
• fractals, strange attractors, and L-systems
• linguistic parsers and generators
• applications 1: harmony
• applications 2: rhythm
• applications 3: improvisation

Here are the class patches as of April 1 as compressed tar and zip formats.

Here is ASSIGNMENT 1 , due April 15.

Here is ASSIGNMENT 2 , due April 29, and the patches as of April 17 before class.

Here is ASSIGNMENT 3 , due May 13.

Here are ASSIGNMENT 4 , due May 27, and the patches as of May 20.
Charlotte Truchet et al., "A constraint programming system for music composition, preliminary results"

Papers on applications of machine learning to music composition:

Michael Lee et al., "Neural Networks for Simultaneous Classification and Parameter Estimation in Musical Instrument Control" In Int. Soc. Opt. Eng.. Adaptive and Learning Systems, 1992.

Kapancki, Emir and Avi Pfeffer. "A Hierarchical Approach to Onset Detection" Proceedings, ICMC 2004

Assignment 5; either make your own SOM or, if you're getting tired of high-tech stuff, imitate this bit of rock and roll nostalgia