Recommended prerequisite for participation in the module

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

Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Have knowledge about Newton’s laws, static equilibrium, rotational motion, moment of force, moment of inertia, linear momentum and angular momentum.
• Have knowledge about the modelling of some typical physical systems, such as mechatronic systems, flow dynamic systems, energy production/transportation/distribution systems, process systems etc., provision of operating conditions
• Have insight into the theoretical modelling for dynamic systems, including the principles of mass balance, energy balance and momentum balance
• Have the knowledge about experimental modelling of linear and non-linear dynamic systems, including the experiment design, data collection, model structure selection, parameter estimation and model validation
• Have insight of linearization techniques of nonlinear systems
• Be able to simulate the obtained mathematical model in some typical simulation environment, such as Matlab/Simulink

Skills

• Be able to solve simple problems within linear and angular motion
• Be able to apply basic theoretical and experimental modelling techniques for modelling dynamic systems and simulating them
• Be able to develop models of dynamic systems in the 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 original systems
• Be able to simulate the obtained mathematical model of concerned system and analyse the system features within a proper simulation environment

Competences

• Be able to apply Newton’s laws of motion to simple mechanical systems
• Be able to apply the theoretical modelling approach to model some typical physical systems, with an orientation for control design purpose
• Be able to correctly apply the experimental modelling approach for complicated systems, including the proper experiment design and analysis, selection of model structure and estimation of system parameters, as well as model validation
• Be able to apply linearization techniques for nonlinear system analysis and simplification
• Be able to identify systems using both white and black box approaches
• Be able to describe dynamic systems in transfer function and state-space formulations 

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:

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

Name of exam	Modelling and Simulation
Type of exam	Written or oral exam
ECTS	5
Assessment	7-point grading scale
Type of grading	Internal examination
Criteria of assessment	The criteria of assessment are stated in the Examination Policies and Procedures