Information Decision Support Systems
Course description:
This course focuses on the main principles of decision support systems practical usage. It gives
an outline of key concepts of their architecture, data warehouses, On-Line Analytical Processing,
data mining. Among other things, the course reviews the modeling in data warehouses, OLAP
cubes, knowledge extraction from data, text retrieval. The practical work involves Deductor
Academic and Gate Developer.
Instructor: Savchenko, Andrey V.
Credit points: 6
Faculty: Faculty of Business Informatics and Applied Mathematics
Language: Russian
Level: Master
Academic hours: 56
Syllabus
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Introduction to decision support systems
Data Warehousing
OLTP vs OLAP
Conceptual data modeling in data warehouses
Key concepts of ETL (Extraction, Transformation, Loading)
Knowledge discovery in databases
Data mining
Architecture of modern decision support systems
Emerging technologies in decision support systems
Readings
1. Paklin N.B., Oreshkov V.I. (2010) Business-analytics: from data to knowledge. St.
Peterburg.: Piter. (in Russian)
2. Elmasri R., Navathe S.B. (2010) Fundamentals of Database Systems, 6th ed., Pearson Ed.
3. Simsion G. C., Witt G. C. (2005). Data Modeling Essentials, Elsevier
4. Maciaszek L.A., Liong B.L (2005) Practical Software Engineering. A Case Study
Approach, Harlow England, Addison-Wesley
5. Gonzales M. L. (2003) IBM Data Warehousing: With IBM Business Intelligence Tools.
John Wiley & Sons
6. Kimball R., Ross M. (2002) The Data Warehouse toolkit: The Complete Guide to
Dimensional Modeling, John Willey & Sons, Inc.2nd ed.
7. Ponniah P. (2001). Data Warehousing fundamentals, John Willey & Sons, Inc.