Data-driven dynamical systems

The course consists of lectures and laboratory exercises. The exercises primarily involve mandatory hand-in assignments.

The lectures cover the following components:

• basics theory of dynamical systems
• reduced order modeling for dynamical systems
• sparse identification of nonlinear dynamics
• basics of control theory and data-driven control
• definitions and applications of digital twins

Progressive specialisation: A1N (has only first‐cycle course/s as entry requirements)

Education level: Master's level

Admission requirements: Mathematics 22.5 ECTS credits, Introduction to programming 7.5 ECTS credits, Scientific programming 7.5 ECTS credits or Numerical methods 7.5 ECTS, plus upper secondary level English 6, or equivalent

Selection: Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.

This course is included in the following programme

• Master in Mechanical Engineering - Specialization Data-driven Mechanical Engineering (studied during year 1)