• A Control Systems Engineer or Research Scientist looking to explore modern, data-driven techniques for analyzing and designing control systems without relying on precise mathematical models.

• A Master's or Ph.D. Students in Electrical, Control, or Computer Engineering are interested in advanced topics such as the data informativity framework, quadratic matrix inequalities, and robust control methods.

• A Faculty Member or Academic Researcher seeking to enhance your understanding of cutting-edge data-driven control theory and its applications in real-world engineering challenges.

• A Professional or Practitioner in Systems and Control aiming to apply data-driven approaches to tackle the complexities of modern engineering systems, where accurate modeling is difficult but data is abundant.

This course is tailored for individuals eager to gain expertise in the state-of-the-art methods of data-based systems and control, with applications across diverse engineering fields.