Learning outcomes

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
Published Apr. 5, 2017 11:16 PM - Last modified July 15, 2021 10:39 AM