AIS2202 - Cybernetics


Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Portfolio assessment 100/100

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


  • The candidate can explain and compare theory, principles, strengths and weaknesses of methods introduced in the course.


  • 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. 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 (BIAIS)

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 To
IE303412 7.5 AUTUMN 2021
More on the course



Version: 1
Credits:  7.5 SP
Study level: Third-year courses, level III


Term no.: 1
Teaching semester:  AUTUMN 2023

Language of instruction: English, Norwegian

Location: Ålesund

Subject area(s)
  • Engineering Cybernetics
  • Engineering
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of ICT and Natural Sciences


Examination arrangement: Portfolio assessment

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Portfolio assessment 100/100





Room Building Number of candidates
Spring UTS Portfolio assessment 100/100
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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