Course - Cybernetics and Robotics - AIS4001
AIS4001 - Cybernetics and Robotics
About
New from the academic year 2024/2025
Examination arrangement
Examination arrangement: Oral exam
Grade: Letter grades
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Oral exam | 100/100 | 20 minutes | C |
Course content
The course contains a selection of the following topics, in the context of cybernetics and robotics:
- Fundamentals of robotics engineering
- Closed-loop control systems
- Optimal control methods, e.g., linear quadratic regulators and estimators, MPC
- Discrete Kalman filter
- Analysis and control of digital dynamical systems
- Parameter estimation and system identification
- Nonlinearity and linearization
- Possibly other relevant topics
More details about the curriculum will provided during the start of semester.
Learning outcome
Knowledge and skills
The candidate can
- Explain and apply fundamental theory and methods within robotics.
- Explain and apply closed loop control methods.
- Explain and apply methods for state- and parameter estimation.
- Assess and compare the theoretical background, principles, strengths and weaknesses of the introduced methods.
- Identify problems, challenges, and systems which can be solved, estimated, or controlled using cybernetics and the introduced theory.
Competence
The candidate can
- Use digital tools for modelling, analysis, control, simulation, and visualization of dynamical systems.
- Use digital tools, simulations and physical lab equipment to demonstrate the introduced theory.
- Present problems, solutions and results both orally and written in a professional and 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 and quizzes. A constructivist approach for learning is endorsed, with focus on problem solving and practical application of theory.
Compulsory assignments
- Compulsory learning activities
Further on evaluation
The final grade is based on an overall evaluation of the portfolio, which consists of work that is carried out, documented and digitally submitted during the term.
The assignments may consist of the following:
- simulations or software implementation of the theory
- written reports, reflections or analyses
- possibly other kinds of assignments
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.
There will be mandatory work.
The re-sit exam is an oral exam in August.
Specific conditions
Admission to a programme of study is required:
Mechatronics and Automation (MSMECAUT)
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.
Credit reductions
| Course code | Reduction | From | To |
|---|---|---|---|
| IP501508 | 3.7 | AUTUMN 2024 |
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2024
Language of instruction: English, Norwegian
Location: Ålesund
Department with academic responsibility
Department of ICT and Natural Sciences
Examination
Examination arrangement: Oral exam
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Oral exam 100/100 C
-
Room Building Number of candidates - Spring UTS Oral exam 100/100 C
-
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"