After the core levels and tracks
Advanced courses for experienced perfumers and researchers: derivations, data, open questions and professional briefs, each ending in a research or professional project. Take a course once you have finished what it requires; within a course, take the lessons in order.
After Level 7, the Molecular Perfumery track and the Analytical Perfumery track
Vapor-liquid equilibrium, evaporation, odor activity, autoxidation, reactions in ethanol and mass spectra, derived.
7 lessons · Outcome: A research dossier predicting how one material behaves in a formula from its physical chemistry, tested against published data, with every assumption named.
After Level 5 and the Research and Innovation track
Formulas as linear systems, constrained optimization, mixture designs, Thurstonian d′, measurement uncertainty and PCA.
7 lessons · Outcome: A statistical study of one accord, from a mixture design through panel data to a model, with its uncertainty budget and its limitations stated.
After Level 5
Formula data models, Python checks, version diffs, molecular descriptors, model validation and the RUŌOD Lab app, precisely.
9 lessons · Outcome: A tested calculation script that reproduces an app’s figures for a real formula, a versioned record of that formula, and a written critique of one published odor-prediction model.
After Level 12 and the Creative Mastery track
Accord architecture, texture and contrast, mixture interactions, signature, reconstruction and iterative development.
6 lessons · Outcome: A signature composition developed through a documented mod tree, with a written account of its architecture and a structured critique by someone else.
After Level 12 and the Regulatory and Quality Specialization track
Evaluation, supplier qualification, cost in use, compounding, trade secrets and creative leadership, ending in a capstone.
7 lessons · Outcome: An original research capstone presented as a professional submission, with its evidence, costs, constraints and open questions. It confers no qualification.
Each course says what it requires: a core level and one or two specialist tracks. Several lessons work through derivations and published data, and the computational course uses Python or a spreadsheet. Nothing here needs a laboratory instrument; where a method does, the lesson works from published data and says so.
Each course is months of work, and its project longer. These are written to challenge experienced practitioners: expect to read primary papers, check every derivation yourself, and disagree with some of them.
