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Archived teaching schedules 2017–2018
You are browsing archived teaching schedule. Current teaching schedules can be found here.
TIETS44 Big Data Entity Resolution 5 ECTS
Period I Period II Period II Period IV
Language of instruction
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Degree Programme in Computer Sciences
Faculty of Natural Sciences

Learning outcomes

After completing the course, the student is expected to:
- know the basic concepts and techniques for big data entity resolution, including blocking and meta-blocking techniques, and techniques for iterative and progressive entity resolution,
- be able to handle contemporary research issues and problems on big data entity resolution, and
- solve real-world problems.

Enrolment for University Studies

Enrolment time has expired


Konstantinos Stefanidis, Teacher responsible

Homepage URL


8-Jan-2018 – 4-Mar-2018
Wed 10-Jan-2018 at 12-14, Main building lecture hall A2B
Mon 15-Jan-2018 - 26-Feb-2018 weekly at 10-12, Pinni B0016
Wed 17-Jan-2018 - 28-Feb-2018 weekly at 12-14, Pinni B3118
Thu 11-Jan-2018 - 1-Mar-2018 weekly at 10-12, PInni B0016