Course - Cybernetics - AIS2202
Cybernetics
Choose study yearAbout
About the course
Course content
The course builds on AIS2002 Reguleringsteknikk and AIS2102 Dynamiske systemer, including linear systems theory, classical control systems engineering, and modelling, analysis and control in state space.
Selected topics are announced at the beginning of the semester and will include some of the following:
- Linear quadratic regulator and -estimator
- Optimal state estimation and discrete Kalman Filter
- System identification
- Analysis and control of digital dynamical systems
- Model predictive control
- Genetic algorithm for parameter optimisation
- Possibly other topics
More details on the curriculum will provided during the start of semester.
Learning outcome
Knowledge
- The candidate can explain and compare theory, principles, strengths and weaknesses of methods introduced in the course.
Skills
- The candidate can demonstrate use of methods introduced in the course, both through digital tools, simulation, and with physical lab equipment.
General competence
- The candidate can employ digital tools for modelling, analysis, control, simulation, and visualisation of dynamical systems.
- The candidate can explain the value of cybernetics for sustainable processes and systems.
- The candidate can discuss cybernetics in the context of societal opportunities and challenges with respect to innovation, ethics, and sustainability.
- The candidate can present problems, solutions, and results both written and orally in a professional and close-to scientific manner.
Learning methods and activities
Learning activities generally include a mix of lectures, tutorials and practical lab/project work. There will be mandatory works, e.g., assignments or quizzes. A constructivist approach for learning is endorsed, with focus on problem solving and practical application of theory.
Further on evaluation
The final grade is based on an overall evaluation of the portfolio, which consists of a number of works delivered through the semester. 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 re-sit exam is an oral exam the following spring.
Specific conditions
Admission to a programme of study is required:
Automation and Intelligent Systems - Engineering (BIAIS)
Recommended previous knowledge
- AIS2102 Dynamiske systemer
- AIS2002 Reguleringsteknikk
- ISTA1002 Statistikk
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.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| IE303412 | 7.5 sp | Autumn 2021 |
Subject areas
- Engineering Cybernetics
- Engineering