Programme structure
The programme option Robotics and intelligent systems gives you the opportunity to choose a specialization in one, or more, of the topics: robotics systems, artificial intelligence or digital embedded systems. Theme for the Master's thesis is associated with advanced issues within the topics.
You choose courses in consultion with your supervisor and these will give you a solid theoretical basis for the completion of the Master's thesis. At least 30 credits must be from the program structure.
Recommended courses
Autumn courses:
- INF4490 – Biologically Inspired Computing (continued)
- INF4431 – Digital systemkonstruksjon (continued)
- IN5490 – Advanced Topics in Artificial Intelligence for Intelligent Systems
- IN5520 – Digital Image Analysis (discontinued)
- IN5200 – Advanced Digital System Design
- IN4190 – Digital Signal Processing
- MUS4831 – Sound analysis (discontinued)
- TEK5020 – Pattern Recognition
- TEK4030 – Control of Manipulators and Mobile Robots
- TEK4050 – Stochastic Systems
- FYS4220 – Real Time and Embedded Data Systems
- TEK5010 – Multi-Agent Systems
- TEK5040 – Deep Learning for Autonomous Systems
Spring courses:
- IN4050 – Introduction to Artificial Intelligence and Machine Learning
- INF4380 – Introduction to robotics (continued)
- INF5860 – Machine Learning for Image Analysis (continued)
- FYS4240 – Data Acquisition and Control
- STK4900 – Statistical Methods and Applications
- MUS4218 – Methodological topic: Cognitive musicology (discontinued)
- UNIK4690 – Maskinsyn (continued)
- MNKOM4000 – Formidling og vitenskapsjournalistikk
Published Aug. 10, 2021 9:45 AM