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VU Business Intelligence I (050136)
- «U:FIND»
Tutor: «Patrik König»
First lecture: 08.03.2017, Last Lecture: 28.06.2017.
Wed. wkly. from 08.03.2017 to 21.01.2015 09:45 - 13:00
Place: PC2, Währinger Straße 29 1.OG
Contents
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)
Dates
08.03. Preliminary talk
15.03. Introduction to Business Intelligence
22.03. Data Provisioning I
29.03. Data Provisioning II
05.04. Modelling techniques of Business Intelligence 1, presentation exercise 1
26.04. Modelling techniques of Business Intelligence 2
03.05. Presentation exercise 2, Guest lecture (G. Kaes): Service-based Data Generation («background info»), Game-based experiment (participation optional, 2 discussion points)
10.05. Analysis methods for cross-sectional data (Data Mining 1)
17.05. Analysis methods for cross-sectional data (Data Mining 2),
24.05. Analysis methods for cross-sectional data (Data Mining 3), discussion of exercise 3
31.05. Analysis methods for process data (Process Mining 1)
07.06. Analysis methods for process data (Process Mining 2), discussion of exercise 4
14.06. Social Network Analysis
21.06. Conclussion and special techniques
28.06. 10:00 written exam (PC 2)
Handouts
Exercises
Old Exam
Grading
- 45% Exercises and seminar works
- 45% Written exam
- 10% Presentation and discussion
Literature
- W. Grossmann, S. Rinderle-Ma: Fundamentals of Business Intelligence. Springer-Verlag Berlin Heidelberg, doi: 10.1007/978-3-662-46531-8 (2015) [image:9783662465301.tif|Book Cover]
Letzte Änderung: 21.06.2017, 00:53 | 421 Worte