Study Guide 2015-2016

SGN-43006 Knowledge Mining and Big Data, 5 cr

Lessons

Study type P1 P2 P3 P4 Summer Lecture times and places
Lectures
Excercises
 4 h/per
 2 h/per


 


 


 


 
Monday 12 - 14 , TB104
Friday 14 - 16 , TB104
Monday 12 - 14 , A223
Friday 14 - 16 , A223
Friday 14 - 16 , FA134


Description:

Learning outcomes: The student can describe the difference between data and knowledge mining. The student can list and describe OLAP, association, predictive modeling, modeling, regression analysis and cluster analysis. The student can analyse the own problem and apply the lectured method on it. The student is capable to analyse the proposed solutions.

Person responsible:

Ari Visa

Target groups:

Information Technology
International Students
Jatkotutkinto-opiskelijat
Signaalinkäsittely ja tietoliikennetekniikka
Sähkötekniikka

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course