MEI-51506 Formal Methods for Digital Manufacturing, 5 cr

Additional information

Suitable for postgraduate studies.

Person responsible

Andrei Lobov


Implementation Period Person responsible Requirements
MEI-51506 2019-01 3 - 4 Andrei Lobov
A student should pass all course assignments and final examination to complete the course.

Learning Outcomes

The integration of various information models and handling of information models supporting co-development of products and production systems requires different computational methods and tools to evaluate various parameters of products and production systems. In order to get a holistic picture for manufacturing systems and products, one may need to be able continuously extend and improve models and tools. During the course, students will learn how to build formal models of products and productions systems for automated verification and integrate these with existing tools.


Content Core content Complementary knowledge Specialist knowledge
1. Formal languages     
2. Product (formal) modelling.     
3. Production system (formal) modelling.     
4. Integration APIs for models/tools extension.     
5. On-demand computing, e.g. use of cloud-based resources for computationally demanding tasks.     
6. Automated verification and validation.     

Correspondence of content

There is no equivalence with any other courses

Updated by: Laine Marja-Liisa, 06.03.2019