These lecture materials are openly available to everyone.
For students: You are encouraged to use these materials to support your studies.
For instructors: You are welcome to use, modify, and distribute these materials in your teaching.
No credit or reference to us is required.
This course introduces core concepts and practical applications of artificial intelligence for smart manufacturing. It covers a wide range of topics including vision AI, time series analysis, signal based learning, predictive maintenance, explainable AI, and physics-informed AI. By the end of the course, students will be able to understand and apply AI methods to real world manufacturing problems in a data driven and engineering aware manner.
Topics HTML Colab Slides PowerPoints PS Solution
[Part 1: Foundations of Manufacturing AI & Data Strategies]
Introduction to Manufacturing AI and AX Trends iColab
Fundamentals of AI and Machine Learning iColab
Small Data Strategies for Manufacturing iColab
Domain Adaptation and Transfer Learning iColab
[Part 2: Intelligent Manufacturing by Data Type]
Vision AI for Quality Inspection iColab
Sensor-based Time Series Analysis iColab
Signal Processing and AI Integration iColab
[Part 3: Engineering Design & Reliability Assurance]
Generative AI for Engineering Design iColab
Active Learning for Process Optimization iColab
Prognostics and Health Management iColab
eXplainable AI for Manufacturing iColab
[Part 4: Intelligent Systems & Emerging Trends]