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. 
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Published Apr. 5, 2017 11:16 PM - Last modified Dec. 2, 2020 12:58 PM