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Arkistoitu opetusohjelma 2016–2017
Selaat vanhentunutta opetusohjelmaa. Voimassa olevan opetusohjelman löydät täältä.
TIETS43 Recommender Systems 10 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
Tietojenkäsittelytieteiden tutkinto-ohjelma
School of Information Sciences

Learning outcomes

After completing the course, the student is expected to:
- know the basic concepts and techniques of recommender systems,
- 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

Enrolment time has expired


Konstantinos Stefanidis, Teacher responsible

Homepage URL


9-Jan-2017 – 30-Apr-2017
Wed 11-Jan-2017 - 26-Apr-2017 weekly at 12-14, Pinni B4113
Fri 13-Jan-2017 - 28-Apr-2017 weekly at 10-12, Main Building lr C6
24-Mar-2017 at 10 –12 , Pinni B0016

Further information

The course belongs to followig study modules

  • in CBDA “Advanced Courses in Methods of Computational Data Analytics"
  • in SDE “Optional Course Unit in Software Development”
  • in CS "Advanced studies" in Computational methods and data bases and information retrieval.