The two-year Master of Science programme Systems and Control (SC) concerns the analysis and control of dynamic systems in their widest sense. The programme addresses both fundamental and application-specific features, emphasizing the multidisciplinary character of the field. It is aimed at students having a background in technical sciences, physics and mathematics.
Topics addressed in the programme include:
- Modelling. Obtaining a mathematical model that reflects the main features. A mathematical model may be represented by difference or differential equations, but also by inequalities, algebraic equations, and logical constraints.
- Analysis and simulation of the mathematical model.
- Prediction and estimation.
- Control. By choosing inputs or, more general, by imposing additional constraints on some of the variables, the system may be influenced so as to obtain certain desired behaviour. Feedback is an important example of control.
The programme is driven by practical problems and concrete applications. The major aim is to develop methods and tools that are applicable not only to the specific application but to a wide range of similar problems. At the same time there is a strong interest in applying general theoretic results to specific technological problems. Within the programme students make a choice for one of three specialisations:
Participating chairs
Specialisation | Participating chairs | Faculty |
Robotics and Mechatronics (RM) | EEMCS ET ET | |
Control Theory (CT) | EEMCS | |
Biomechatronics (BM) | ET ET ET | |
Unmanned Aerial Vehicles (UAV) | Industrial Engineering & Business Information Systems (IEBIS) | ITC EEMCS ET BMS |
Final attainment levels
The graduated Master of Systems and Control Engineering is able to a sufficient level to ... :
- Competence in the scientific discipline Systems & Control
- … apply advanced physics and measurement methods in systems and control.
- … design, carry out and evaluate experiments.
- … analyse and design high-performance measurement and control systems for a wide variety of processes.
- … relate scientific knowledge to dynamical systems considering their interaction with the environment.
- Competence in doing research
- … study a topic by critically selecting relevant scientific literature.
- … write a scientific report about own research.
- … develop technologies to model, identify and control dynamical systems in an interactive, uncertain and noisy environment.
- … generate knowledge within the discipline of Systems & Control.
- Competence in designing
- … systematically design controllers for complex dynamical systems.
- … generate innovative contributions to the discipline of Systems & Control.
- A scientific approach
- … integrate knowledge and information to handle complexity at the systems level.
- … analyse problems and use modelling, identification, simulation, design and integration towards solutions.
- … solve technological problems in a changing environment considering ambiguity, incompleteness and limitations.
- … manage own scientific research independently.
- Basic intellectual skills
- … analyse and solve technological problems in a systematic way.
- … identify and acquire lacking expertise.
- … critically reflect on own knowledge, skills and attitude.
- … plan and execute research in changing circumstances.
- … integrate new knowledge in an R&D project, considering ambiguity, incompleteness and limitations.
- … remain professionally competent.
- Competence in operating and communicating
- … work both independently and in multidisciplinary teams.
- … explain and defend systems and control outcomes to academia and industry, to specialists and laymen.
- … present and report in good English.
- Considering the temporal and social context
- … evaluate and assess the technological, ethical and societal impact of own work.
- … act responsibly with regard to sustainability, economy and social welfare.