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Articles from University of Helsinki

30.11.2017: Teaching demonstration and presentation of the candidate for the position in computer science on 30.11.

30.11.2017 09:00–11:00

Other event

Physicum E205

Candidates for the Professor/Associate Professor/Assistant Professor positions in computer science will give their teaching demonstrations and scientific presentations on 27.11, 28.11. and 30.11.:

Ph.D. Lian Wang, Thurdsday 30.11. (applied position "Parallel and distributed data science")

04.12.2017: Teaching skills demonstration for MOOC University lecturer position

04.12.2017 11:15–12:00

Other event

Exactum, C123

Ph.D. Arto Hellas will give his teaching demonstration for the University lecturer position in computer science (special emphasis on scalable MOOC) on Monday 4 December at 11 at Exactum room C123. The title of the demonstration is “Hajautustaulu olio-ohjelmoinnissa" and language is Finnish. Welcome!

18.10.2017: Teaching demonstration for Assistant Professor/Associate Professor/Professor position in computer science (Algorithms and machine learning)

18.10.2017 10:00–11:00


Exactum C123

"The teaching demonstration is within the general area of algorithms and machine learning. The choice of topic and the level of presentation roughly aimes at first-year master's students within this area."

13.12.2017: The Artificial Intelligence Day (AI Day)

13.12.2017 11:00–17:00

Other event

Dipoli, Otaniemi, Otakaari 24

The Artificial Intelligence Day (AI Day) brings together researchers, companies and the public sector involved in the fast-developing field of AI. The event promotes matchmaking, information sharing and cross-border collaboration.

More information and registration: http://cs.aalto.fi/en/current/events/2017-10-04-006/

13.12.2017: Indexing Paths in Genome Graphs

13.12.2017 13:15–14:00

Guest lecture

Exactum B222

Reference genomes provide a prior to guide our interpretation of DNA sequence data. However, if we use a single reference sequence, our interpretations are biased towards that sequence. Genome graphs, which collapse multiple sequences into a graph, provide a richer reference model. Graphs can reduce the reference bias significantly, if we choose the variation we include in them carefully.