Laajuus: 5

Aikataulu: 12.09.2016 - 20.10.2016

Opetusperiodi (voimassa 01.08.2018-31.07.2020): 

I - II (Autumn)

Osaamistavoitteet (voimassa 01.08.2018-31.07.2020): 

The students will familiarize themselves with basic data-mining principles and methods. The course will cover different problem scenarios, such as, pattern discovery, clustering, and ordering, as well as, analysis of different types of data, such as, sets, graphs, and sequences. The students will develop their analytical tehniques to cope with challenging
data-analysis problems. They will also develop their practical skills through programming assignments and experimentation with real data.

Sisältö (voimassa 01.08.2018-31.07.2020): 

The course covers general topics in data mining, such as pattern discovery, similarity search, data clustering, graph mining, ranking and ordering problems, stream computation, and distributed analysis of data, such as map-reduce.

Toteutus, työmuodot ja arvosteluperusteet (voimassa 01.08.2018-31.07.2020): 

Take-home homeworks, programming assignments, and in-class final exam.

Työmäärä toteutustavoittain (voimassa 01.08.2018-31.07.2020): 

24 + 12 (4 + 2)

Oppimateriaali (voimassa 01.08.2018-31.07.2020): 

Lecture slides and online lecture notes.

Korvaavuudet (voimassa 01.08.2018-31.07.2020): 

T-61.5060 Algorithmic Methods of Data Mining

Esitiedot (voimassa 01.08.2018-31.07.2020): 

Basic mathematics, statistics, and basic courses on algorithms design.

Arvosteluasteikko (voimassa 01.08.2018-31.07.2020): 

0-5

Opintojakson kuvaus