Units

1. Introduction to Artificial Intelligence and Verification Discipline in Textile Engineering 2. Yarn and Fabric Production Parameters: Optimization with Data and AI 3. Quality Control and Defect Detection: Image Processing 4. Color Management and Painting Recipe Optimization 5. Pattern, Collection and Generative Design Support 6. Fashion Trend Analysis and Demand Forecast 7. Production Planning and Scheduling 8. Supply Chain and Material Management 9. Sustainability, Environmental Footprint and Circularity 10. Textile Data Analysis with Python 11. Ethics, Privacy, Boundaries and End-to-End Integration

Unit 10 / 11

Textile Data Analysis with Python

Gains:

Ability to establish a flow of cleaning, combining and summarizing production, laboratory and quality data with Python (pandas)
Ability to safely use AI to generate analysis code, debug and prepare graphs
Ability to test the output of generated codes and graphics with manual control, unit verification and domain knowledge

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