PhD Courses in Computerised Image Processing

The PhD courses are marked as Introductory, Broad, or Focused.

Course	Area	When	Responsible
Classical and Modern Papers in Image Analysis	focused	continuous	Natasa Sladoje

Regularly offered core courses

Course	Area	Periodicity (years)	Responsible
Graph Based Image Processing and Combinatorial Optimization	focused	3-4	Filip Malmberg
Digital Image Analysis for Scientific Applications (mainly for external PhD students)	intro		Carolina Wählby
Research methodology for information technology (5 hp)	broad	2-3	Gunilla Borgefors Ingela Nyström
Digital imaging systems	broad	Spring	Ida-Maria Sintorn

Courses offered previously

Course	Area	Responsible	Date
These courses may be organised again based on interest; please contact the responsible person.
Methods and Algorithms for Image Segmentation (5p)	focused	Guest Professor Heung-Kook Choi	March-May 2017
Digital imaging systems	broad	Ingela Nyström	2016
Image processing using graphs - Summer School	focused	Filip Malmberg	August 2015
Contributing to open-source software...	broad	Carolina Wählby	June 2013
Models and methods for precise image analysis	focused	Natasa Sladoje	Autumn 2012
Quantitative Microscopy	broad	Carolina Wählby	Autumn 2012
Image Processing Using Graphs	focused	Filip Malmberg	Spring 2012
Fuzzy Sets and Fuzzy Techniques	focused	Joakim Lindblad	Spring 2010

There are also relevant courses at other groups, see for example:

• eSSENCE Workshops and Meetings Uppsala, Umeå and Lund University
• courses organized by the Swedish Society for automated image analysis, often summer schools in various locations in Sweden.
• Sci-diku-imageworld Many international summer schools in Computer Vision, Image Analysis, and Medical Image Analysis are announced via this mailing list.
• Centre for Interdisciplinary Mathematics, Uppsala University