Spatial Statistics and Image Analysis
About
The course provides you with an introduction to spatial statistics and statistical image analysis. In the first part, statistical models for images (stochastic fields and point processes), methods for filtering and reconstruction, and simulation methods for stochastic inference are introduced. The second part of the course focuses on methods from statistics and machine learning for pattern recognition and classification. During the course, we look at applications in areas such as climate, remote sensing, microscopy, photography and medical imaging.
This course is open to
Exchange students at the Faculty of Science and exchange students on a university-wide agreement. Please contact your international coordinator at the University of Gothenburg if you need to know more.
Entry requirements
Knowledge corresponding to thecourses MSG110 Probability Theory and MSG800 Basic Stochastic Processes.
English proficiency
Incoming students should have an English level equivalent of B2 or higher as courses and materials, including presentations and exams, will be in English.
To assess your English level, you can use the self-assessment grid for reference: https://europa.eu/europass/en/common-european-framework-reference
Application
Do you want to apply for exchange studies at the University of Gothenburg?