English
Advanced studies
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
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.