Units
1. AI in Food Engineering: Introduction, Boundaries, Responsibility and Ethics 2. Product Development and Formulation 3. Food Safety and HACCP Documentation 4. Shelf Life and Quality Analysis 5. Production and Process Optimization 6. Sensory Analysis Data 7. Supply Chain and Traceability 8. Legislation, Label and Declaration Verification 9. Laboratory Data Analysis 10. Food Data Processing, Validation and Security with Python
Unit 9 / 10

Laboratory Data Analysis

Gains:

  • Ability to interpret the concepts of calibration curve, LOD/LOQ, repeatability and measurement uncertainty
  • Ability to draft lab data summary, outlier screening and statistical interpretation with AI
  • Ability to validate AI's statistical output with raw data, units and calibration
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