Knowledge
A candidate with a master's degree in Informatics: Robotics and Intelligent Systems has advanced knowledge of one or more fields in robotics, digital systems development/embedded systems (machine learning, artificial intelligence), cybernetics, and autonomous systems. This may include how systems and machines interpret environments, act intelligently and adapt. This means that the candidate has
- knowledge of state of the art research methods in one or more of these fields
- knowledge of the strengths and weaknesses of these methods compared to other known methods
Skills
A candidate with a master's degree in Informatics: Robotics and Intelligent Systems can analyse/model/construct large/advanced systems. This means that the candidate can
- analyse/model/construct an advanced system within one or more of the above fields
- set up and perform experiments within these fields
- be familiar with and use tools for analysis, modelling and implementation
- describe the background, developed system and associated experiments in a master's thesis report
General competency
A candidate with a master's degree in Informatics: Robotics and Intelligent Systems can work independently and complete a larger scientific project. This means the candidate can
- analyse a problem and set up a project to find ways of working towards a solution
- read and evaluate scientific literature and consider their own scientific works in relation to this
- work and complete a long term project by a set deadline
- write scientific reports
- communicate knowledge both orally and in writing