Digital Composition and Performance

The course consists of the following main topics: algorithmic composition and advanced audio processing methods. Performance oriented software, interactive use of music technology, live electronics. Introduction to programming in Python and Csound by modification of example implementations

Knowledge:

The candidate

• has insight in aesthetic practice based on digital tools for performance and composition
• can identify common methods for algorithmic composition
• has knowledge of advanced forms of audio processing
• knows how their own custom programs and technologies can be combined with commercial and off-the-shelf tools.
• knows the basic syntax and processing in Python and Csound
• has insight into interfaces between different technologies and programming languages

Skills:

The candidate

• can compose sound pieces based on algorithmic methods and combine these with advanced forms of audio synthesis.
• has practical experience with realtime control of automatic composition processes
• can develop technical solutions to specific musical problems they may encounter in composition, improvisation and performance.
• can reflect on the use of technology in the creative process

The course is taught in thematic blocks containing lectures, group projects and practical exercises. Each block is arranged as a concentrated workshop of 2-4 days duration. Information about exercises and requirements is given in Canvas at semester start. There will be up to 10 exercises divided between scheduled workshops and follow-up work after the workshops.

Instruction is obligatory and demands minimum 80% attendance.