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Department of Information Technology

Olle Gällmo

lecturer at Department of Information Technology, Division of Computer Systems

Email:
Olle.Gallmo[AT-sign]it.uu.se
Telephone:
+4618-471 1009
Fax:
018-511925
Visiting address:
Room ITC 1256 ITC, Lägerhyddsvägen 2, hus 1
752 37 UPPSALA
Postal address:
Box 337
751 05 UPPSALA

Short presentation

Teaching on advanced level in machine learning and artificial intelligence. Student advisor, mainly for students on the bachelor programme in computer science (DVk).

Book meetings with me at http://ollegallmo.youcanbook.me.

Keywords: artificial intelligence machine learning bachelor thesis study advice and counselling

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.

Please contact the directory administrator for the organization (department or similar) to correct possible errors in the information.

Olle Gällmo
Updated  2016-10-26 23:36:16 by Olle Gällmo.