📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of From Patch to Product: Turning Physical Models into Plugins, from foundations to a certified capstone project.
Prototype
• Prototyping in Max, Pure Data or a script against shipping compiled code
• Identifying the algorithm that is actually worth productising
• Fixing the specification: parameters, ranges and expected behaviour
Real Time
• Block-based processing, sample rate and buffer size
• No allocation, no locking and no file access on the audio thread
• Denormals, NaN propagation and the silence that follows one bad sample
Porting
• Discretising a continuous model and choosing a stable integration scheme
• Numerical stability, aliasing and oversampling where nonlinearity demands it
• Profiling and optimising to a realistic CPU budget per voice
Framework
• JUCE and the plugin formats: VST3, AU, AAX and their host expectations
• Parameter management, automation, smoothing and state save and restore
• Editor and processor separation, and thread-safe communication between them
Release
• Testing across hosts, sample rates and buffer sizes, including validators
• Presets, documentation and the first-run experience
• Code signing, installers and licensing considerations for distribution
Earn government-registered certification in From Patch to Product: Turning Physical Models into Plugins
e-Certificate and e-Marksheet issued on successful completion.
