SGN-43006 Knowledge Mining and Big Data, 5 cr

Implementation SGN-43006 2017-01

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.

Lessons

Period 4
Methods of instruction Luento, Tentti
Person responsible Ari Visa

Assessment scale

Numerical evaluation scale (0-5)

Requirements

Assignment and final examination.

Exam Tue 08.05.2018 09:00 - 12:00
Exam Thu 28.06.2018 17:00 - 20:00
Exam Tue 25.09.2018 17:00 - 20:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 05.03.2018 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Wed 07.03.2018 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 12.03.2018 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Wed 14.03.2018 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 19.03.2018 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Wed 21.03.2018 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 26.03.2018 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Wed 04.04.2018 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 09.04.2018 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Wed 11.04.2018 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 16.04.2018 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Wed 18.04.2018 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 23.04.2018 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Wed 25.04.2018 12:00 - 14:00

Study material

Type Name Author ISBN Additional information Language Examination material
Book "Data Mining: Concepts and Techniques" Jiawei Han & Micheline Kamber Morgan Kaufmann Publisher, 2000 English Yes
Book "Principles of Data Mining" David J. Hand, Heikki Mannila and Padhraic Smyth MIT Press, 2000 English Yes