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Arkistoitu opetusohjelma 2016–2017
Selaat vanhentunutta opetusohjelmaa. Voimassa olevan opetusohjelman löydät täältä.
TIETS42 Databases and Information Retrieval Integration 5 ECTS
Periods
Period I Period II Period III Period IV
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Tietojenkäsittelytieteiden tutkinto-ohjelma
School of Information Sciences

Learning outcomes

After completing the course, the student is expected to:
- know the basic concepts and techniques for the integration of databases and information retrieval,
- be able to handle contemporary research issues and problems on the topic, and
- be able to perform a comparative assessment of existing works.

Enrolment for University Studies

If more than 40 students enroll priority will be given to 1) the students in the Master's Degree Programme in Computational Big Data Analytics, 2) the students in the Master's Degree Programme in Software Development, and 3) the students in the Master's Programme in Information Studies and Interactive Media, Specialization in Information Practices.

Enrolment time has expired

Teachers

Konstantinos Stefanidis, Teacher responsible
homepage
Kostas.Stefanidis[ät]uta.fi

Teaching

24-Oct-2016 – 31-Dec-2016
Lectures
Mon 24-Oct-2016 - 12-Dec-2016 weekly at 10-12, Pinni B0016
Thu 27-Oct-2016 - 15-Dec-2016 weekly at 10-12, Pinni B0016
Exercises
Fri 28-Oct-2016 - 16-Dec-2016 weekly at 10-12, Pinni B0016

Further information

Recommended preceding studies: TIEP3 Data Bases ITIA4 Introduction to information retrieval TIETA17 Introduction to Big Data Processing

School of Information Sciences
Opetusohjelmat, johon kurssi kuuluu
Informaatiotieteiden yksikkö
Tietojenkäsittelyopin maisteriopinnot
Informaatiotieteiden yksikkö
Master's Degree Programme in Software Development
Tilastotieteen keskus, CAST
CAST (Tilastotieteen keskus)
Informaatiotieteiden yksikkö
Master's Degree Programme in Computational Big Data Analytics