Course content

The course will involve several of the following topics but possibly also other topics:

• Simulations, methods and applications
• Mathematic foundation for simulations
• Modeling of systems (continuous, discrete-time)
• Digitalisation of models
• Simulation of digital models
• Simulation of closed loop control of digital models
• Visualisation of simulations
• Digital twins of cyber-physical systems
• Other topics

Learning outcome

Knowledge

• The candidate can describe the mathematical foundation for simulations
• The candidate can explain various simulation methods
• The candidate knows about various simulation applications and software
• The candidate understands the limits of simulations
• The candidate understands how simple and complex systems may be modelled, simulated and visualised

Skills

• The candidate is able to develop a complete digital twin of a simple cyber-physical system
• The candidate is able to develop continuous-time and discrete-time models for a simple cyber-physical system
• The candidate can analyse the system in the time-domain
• The candidate can simulate the system and apply feedback control techniques
• The candidate can visualise simulations of the system

General competence

• The candidate is able to use digital tools for simulation of cyber-physical systems
• The candidate can reflect on the usefulness of simulations of cyber-physical systems for creating sustainable solutions
• The candidate can formulate scientific problems, propose solutions, and present results both orally and in writing to a technical audience
• The candidate can make evaluations about societal and ethical aspects of technological developments

Learning methods and activities

Learning activities include lectures, tutorials and practical lab/project work. A constructivist approach for learning is endorsed, with focus on problem solving and practical application of theory.

Further on evaluation

The portfolio contains assignments that are carried out, digitally documented and submitted during the term. Both individual and team assignments may be given. Assignments are designed to help students achieve specific course learning outcomes, and formative feedback is given during the period of the portfolio. The final grade is based on an overall evaluation of the portfolio.

Specific conditions

Recommended previous knowledge

IP500515 Modelling and Simulation of Dynamic Systems

Required previous knowledge

The course has no prerequisites.

It is a requirement that students are enrolled in the study programme to which the course belongs.

Course materials

An updated course overview, including curriculum, is presented at the start of the semester and will typically also include English material.