Universität Wien
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052411 VU Business Intelligence 1 (2021S)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
ON-SITE
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).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

The test at the end of the semester will take place at the university between 21.06.2021 and 29.06.2021 (not online). Based on the circumstances this may need to be changed.

Kickoff meeting (online): 16.03 13:15
Link: https://bbb.cs.univie.ac.at/b/mar-2ru-qol-3lb

  • Tuesday 16.03. 13:15 - 16:30 Digital
  • Tuesday 23.03. 13:15 - 16:30 Digital
  • Tuesday 13.04. 13:15 - 16:30 Digital
  • Tuesday 20.04. 13:15 - 16:30 Digital
  • Tuesday 27.04. 13:15 - 16:30 Digital
  • Tuesday 04.05. 13:15 - 16:30 Digital
  • Tuesday 11.05. 13:15 - 16:30 Digital
  • Tuesday 18.05. 13:15 - 16:30 Digital
  • Tuesday 01.06. 13:15 - 16:30 Digital
  • Tuesday 08.06. 13:15 - 16:30 Digital
  • Tuesday 15.06. 13:15 - 16:30 Digital
  • Tuesday 22.06. 13:15 - 16:30 Digital
  • Tuesday 29.06. 13:15 - 16:30 Hörsaal C1 UniCampus Hof 2 2G-O1-03

Information

Aims, contents and method of the course

Goals:
* Introduction, familiarization and application of methods and tools for business intelligence
* Getting to know and apply analysis methods of process and cross-sectional data

The content of the lecture consists of:
* 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

The grade is derived from the sum of the two parts (i.e. a maximum of 100 points in total):
* Part A: theoretical and practical exercises submitted individually (max. 55 points)
* Part B: written exam (no aids allowed, max. 45 points).

Minimum requirements and assessment criteria

‣ Part A: 55% theoretical and practical exercises
‣ Part B: 45% written exam

In each part, i.e. Part A and Part B, more than 50% of the points have to be achieved. Overall at least 50%of the points need to be achieved.

The grade is calculated from the total points as follows:
>= 87,5% very good (1)
>= 75% good (2)
>= 62,5% satisfactory (3)
>= 50% sufficient (4)
< 50% not sufficient (5)

Examination topics

* Lecture slides
* Exercise material
will be provided on the CEWebS platform.

Reading list

* Lecture slides are available in CEWebS
* W. Grossmann, S. Rinderle-Ma: Fundamentals of Business Intelligence. Springer-Verlag Berlin Heidelberg, doi: 10.1007/978-3-662-46531-8 (2015)
* Friedman, J., Hastie, T., Tibshirani, R. (2001). The elements of statistical learning (Vol. 1, No. 10). New York: Springer series in statistics

Association in the course directory

Module: BI BI1 BUS

Last modified: Fr 12.05.2023 00:13