Kadenze

Learning Outcomes

Real-Time Signal Processing

Ability to implement any time-domain DSP algorithm with Faust
Intuitive understanding of these algorithms

Faust Programming

Mastery of the Faust programming language and its libraries
Ability to generate DSP code for various languages such as C, C++, JavaScript, LLVM bitcode, WebAssembly, etc.

Faust Architecture

Mastery of Faust’s architecture system in building audio DSP engines, plug-ins, mobile/web apps, and standalones
Ability to integrate Faust-generated DSP engines to other software environments

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To receive a Statement of Accomplishment, participants must meet all course requirements and be able to demonstrate required knowledge and skill through online assessments. Verified: To ensure academic integrity, the identity of all registered members is verified by Kadenze on an ongoing basis. Please note: Some online courses may draw on material from courses taught on-campus but they are not equivalent to on-campus courses. Participants who are currently enrolled or have completed courses offered by Kadenze or any Kadenze institutional partner are not to be considered registered students of the issuing universities. This statement does not affirm that this participant was enrolled as a student at Stanford University in any way. It does not confer a Stanford University grade, course credit, or degree, and Stanford University has not verified the identity of the participant.

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Learning Outcomes