052320 VU Advanced Topics in Data Analysis (2018S)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik

Continuous assessment of course work

Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Registration is open from Mo 12.02.2018 09:00 to Tu 20.02.2018 23:59
Deregistration possible until Su 18.03.2018 23:59

Details

max. 25 participants

Language: English

Lecturers

Classes (iCal) - next class is marked with N

There will be no lecture at the 23rd of May 2018.
The lecture from Wednesday, 6th June 2018 is postponed to Friday, 8th of June 2018 at 14:30. The lecture will take place in the seminarroom 2, in the basement.

    
    Wednesday
    07.03.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
    
    Wednesday
    14.03.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
    
    Wednesday
    21.03.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
    
    Wednesday
    11.04.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
    
    Wednesday
    18.04.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
    
    Wednesday
    25.04.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
    
    Wednesday
    02.05.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
    
    Wednesday
    09.05.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
    
    Wednesday
    16.05.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
    
    Wednesday
    23.05.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
    
    Wednesday
    30.05.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
    
    Wednesday
    06.06.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
    
    Friday
    08.06.
    14:00 - 18:15
    Seminarraum 2, Währinger Straße 29 1.UG
    
    Wednesday
    13.06.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
    
    Wednesday
    20.06.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
    
    Wednesday
    27.06.
    13:15 - 16:30
    PC-Unterrichtsraum 6, Währinger Straße 29 2.OG

Information

Aims, contents and method of the course

In this course will cover current topics in data mining reseach.

Goals: Participants are able to perform independent literature research, decide which techniques to apply to practical problems, perform a complete data mining process including all stages.

Contents: Current conference tutorials on "hot topics" of data mining research, e.g. on information-theoretic data mining, high-performance data mining, mining time series and graphs, research papers on these topics and participation in a data mining contest.
Methods: Lecture, student presentations, guided group work on practical challenges.

Assessment and permitted materials

Two practical tasks:

- 20% reviewing and presentation of a research paper
- 60%: participation in a data mining contest in programming groups
- 20%: active participation in the lecture

Besides the material provided in the course and elaborated by the participants by doing literature research and group work, no further auxilliary material is allowed (also not required).

Minimum requirements and assessment criteria

The grading scale for the course will be:
>87,00 % 1
between 75,00 % and 86,99 %: 2
between 63,00 % and 74,99 %: 3
between 50,00 % and 62,99 %: 4
< 50% : 5

Attendence in the lectures is mandatory.

Examination topics

Slides, research papers, independent literature study

Reading list

Lecture slides, research papers.

Association in the course directory

Module: AT-DA

Last modified: Mo 07.09.2020 15:30