What it is about
You will learn how machine-learning methods can support and improve the development, design, testing, and manufacturing of chips. The module combines theoretical fundamentals with current procedures and hands-on exercises, so you can apply machine-learning approaches to concrete design automation and manufacturing tasks.
What you will be able to do
- Understand how ML is used in development, design, test, and manufacturing of chips
- Recognize which design and manufacturing problems can be addressed in a data-driven way
- Knowledge of requirements and best practices for ML adoption in industrial chip workflows
- Familiarity with relevant data structures and state-of-the-art tools
- Practical implementation and adaptation of ML algorithms for EDA- and manufacturing tasks
What the module consists of
- VorlesungDelivery of the main concepts via slides and whiteboard sketches
- Hands-on Sessions / ÜbungenDeepening through practical implementation and application of the algorithms
Teaching method
- Presentations (Lectures)Introduction and explanation of core concepts
- Hands-on exercisesPractice-oriented deepening and assessment of the feasibility of algorithms