Content, progress and pedagogy of the module

The module is based on knowledge achieved in the modules Calculus, Linear algebra and Applied engineering mathematics or similar.

Learning objectives

Knowledge

• Have knowledge and comprehension of theoretical modelling for dynamic systems, including the principles of mass balance, energy balance and momentum balance.
• Have knowledge and comprehension of experimental modelling of dynamic systems, including the experiment design, data collection, model structure selection, parameter estimation and model validation.
• Have knowledge about analogue signal processing and its application in analysis and design of signals and systems, time, and frequency domains.
• Have knowledge about sampling theories, embedded systems, and methods for processing of physical signals on a computer.
• Have knowledge about measurement and instrumentation principles.

Skills

• Be able to apply basic theoretical and experimental modelling techniques for modelling dynamic systems, form of block diagrams and be able to reformulate the equivalent diagrams
• Be able to linearize an obtained nonlinear system and analyse the difference between the linearized and the original systems
• Be able to simulate the obtained mathematical model of concerned system and analyse the system features
• Be able to apply theories and methods for spectral estimation including Fourier transform
• Be able to apply theories and methods for design of digital filters
• Be able to implement filters onto embedded systems

Competences

• Be able to apply the theoretical modelling approach to model linear and non-linear physical systems, with emphasis on control design.
• Be able to identify systems using white and black box methods
• Be able to describe dynamic systems in transfer function and state-space formulations
• Be able to design and develop analog and digital filters
• Be able to collect data from sensors, understand the limitations of measurement techniques and analyze signals

Type of instruction

The programme is based on a combination of academic, problem oriented and interdisciplinary approaches and organised based on the following types of instruction that combine skills and reflection:

•    Lectures
•    Class teaching
•    Project work
•    Work shops
•    Exercises (individually and in groups)
•    E-learning
•    Supervisor feedback
•    Professional reflection
•    Portfolio work
•    Laboratory work

Extent and expected workload

Since it is a 5 ECTS project module, the work load is expected to be 150 hours for the student.

Exam

Exams