Olle Gällmo
Lecturer at Department of Information Technology; Division of Computer Systems
- Telephone:
- +46 18 471 10 09
- E-mail:
- Olle.Gallmo@it.uu.se
- Visiting address:
- Hus 10, Regementsvägen 10
- Postal address:
- Box 337
751 05 UPPSALA
Short presentation
Teaching on advanced level in machine learning and artificial intelligence. Student advisor responsible for assessing prerequisites (for courses, not programmes), and programme student advisor for the bachelor programme in computer science (DVk).
Book meetings with me at http://ollegallmo.youcanbook.me.
Keywords
- artificial intelligence
- machine learning
- study advice and counselling in computer science
Biography
I teach on advanced (master) level in Machine Learning and Artificial Intelligence. Now and then, I also give guest lectures on artificial intelligence in computer games. I am also student advisor for students on the bachelor programme in computer science (DVk), and I handle questions about prerequisites to courses on the IT department.
The little time I have over for research I spend on Machine Learning, in particular natural computation methods such as Artificial Neural Networks, Reinforcement Learning, and Particle Swarm Optimization.
I am also an active musician (traditional Swedish music) and riksspelman on Swedish bagpipes, and give courses and workhops also in this area. More on this side of my life at http://olle.gallmo.se.
