MEI-51506 Formal Methods for Digital Manufacturing, 5 cr

Additional information

Course is NOT lectured in Academic year 2019-2020.
Suitable for postgraduate studies. The implementation will not be executed during the academic year 2019-2020.

Person responsible

Andrei Lobov


Implementation Period Person responsible Requirements
MEI-51506 2019-01 - Minna Lanz
Course is NOT lectured in Spring 2020.

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: Andersson Kirsi, 01.11.2019