Algorithmic Composition in Max: Bringing Order to Chaos
Membership plan: Going Deeper | Topics: Music Production
Course overview
For centuries, musicians have incorporated chance-based elements into their compositions, first through coin flips and dice rolls and more recently through computer software. Today, building music-oriented algorithmic systems is easier than ever with Max.
What you'll learn
- In this workshop you will learn a variety of algorithmic processes and useful tools to construct your own systems: including drunken walks, list manipulation and step-sequencer pattern generation. Primarily focusing on MIDI-controlled instruments, you will gain an understanding of how chance can be factored into numerous aspects of composition, from melody and harmony to overall piece structure and instrumentation.
- By the end of the workshop you will have built a system for algorithmically generating a short multi-instrumental composition which you will be able to go on to improve and expand upon to fit your own preferences.
Who is this course for?
- Learn to construct music-generating algorithms in Max, to compose semi-autonomously or supplement your compositional practice.
Course content
- Max patches
- Part 1 - MIDI Setup & Guitar Synth
- Part 2 - Sequencer Setup
- Part 3 - Basic Melody Generation
- Part 4 - Bell Synth Setup
- Part 5 - Ostinato Generation
- Part 6 - Chord Voicing Generation & Organ Synth
- Part 7 - Chord Sequence Generation
- Part 8 - Transport Setup
- Part 9 - Piece Structuring and Final Composition
Requirements
- You should be comfortable with the general workflow and data formatting in Max
- Knowledge of MIDI format and routing to DAWs (Ableton, Logic etc) would be a plus, although Max instruments will be provided
- A basic familiarity with Git, C++ and audio processing
- You should have some basic knowledge of music theory: chords, scales, modes etc
Meet your instructor
Samuel Pearce-Davies is a composer, performer, music programmer and Max hacker living in Cornwall, UK. With a classical music background, it was his introduction to Max/MSP during undergraduate studies at Falmouth University that sparked Sam’s passion for music programming and algorithmic composition. Going on to complete a Research Masters in computer music, Sam is now studying a PhD at Plymouth University in music-focused AI.
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