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Archived teaching schedules 2016–2017
You are browsing archived teaching schedule. Current teaching schedules can be found here.
TIETS43 Recommender Systems 10 ECTS
Periods
Period I Period II Period II Period IV
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Degree Programme in Computer Sciences
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

Teachers

Konstantinos Stefanidis, Teacher responsible
konstantinos.stefanidis[ät]tuni.fi

Homepage URL

Teaching

9-Jan-2017 – 30-Apr-2017
Lectures
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
Exceptions:
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.