x !
Archived teaching schedules 2017–2018
You are browsing archived teaching schedule. Current teaching schedules can be found here.
TIETS09 Algorithmic Problem Solving 5 ECTS
Period I Period II Period II Period IV
Language of instruction
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Degree Programme in Computer Sciences
Faculty of Natural Sciences

Learning outcomes

After completing the course a student is expected to

- be able to design and implement efficiently basic algorithms related to dynamic programming, graphs, numeric algorithms, optimization and geometric algorithms.
- have a deepened understanding of the fundamental role that algorithm design and analysis have in solving real problems.
- be familiar with the most common programming contests, online practise environments and literature on algorithmic programming.

Enrolment for University Studies

If you are interested in participating the course, send an email to Heikki Hyyrö and Timo Poranen.


Heikki Hyyrö, Teacher responsible
Timo Poranen, Teacher responsible

Homepage URL


1-Aug-2017 – 31-Jul-2018
Independent work