052411 VU Business Intelligence 1 (2017S)

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

Continuous assessment of course work

CEWebs

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 06.02.2017 09:00 to We 22.02.2017 23:59
Deregistration possible until Mo 20.03.2017 23:59

Details

max. 25 participants

Language: English

Lecturers

Classes (iCal) - next class is marked with N

    
    Wednesday
    08.03.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
    
    Wednesday
    15.03.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
    
    Wednesday
    22.03.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
    
    Wednesday
    29.03.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
    
    Wednesday
    05.04.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
    
    Wednesday
    26.04.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
    
    Wednesday
    03.05.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
    
    Wednesday
    10.05.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
    
    Wednesday
    17.05.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
    
    Wednesday
    24.05.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
    
    Wednesday
    31.05.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
    
    Wednesday
    07.06.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
    
    Wednesday
    14.06.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
    
    Wednesday
    21.06.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
    
    Tuesday
    27.06.
    15:00 - 16:30
    Hörsaal 1, Währinger Straße 29 1.UG
    
    Wednesday
    28.06.
    09:45 - 13:00
    PC-Unterrichtsraum 2, Währinger Straße 29 1.OG

Information

Aims, contents and method of the course

The course is structured in five sections:
Methodology and modeling techniques in business intelligence
Data models in business intelligence and data quality
Analysis of cross sectional data (data mining)
Analysis of process data (process mining)
Business intelligence tools (OLAP, Visualization, Text mining, Data Quality Management)

Assessment and permitted materials

* theoretical exercises
* application of selected tools
* seminar works
* written exams
* discussion and presentation

Minimum requirements and assessment criteria

* 45% exercises and seminar works
* 45% written exam
* 10% presentation and discussion

Examination topics

* slides
* exercise material

Reading list

W. Grossmann, S. Rinderle-Ma: Fundamentals of Business Intelligence. Springer (2015)

Association in the course directory

Module: BI BI1 BUS

Last modified: Mo 07.09.2020 15:30