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.
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.
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 Dec. 2, 2020 12:58 PM