Systems Supporting the Strategic Decision Making

Type of study	Doctoral
Language of instruction	Czech
Code	155-0906/01
Abbreviation	SPSR
Course title	Systems Supporting the Strategic Decision Making
Credits	10
Coordinating department	Department of Applied Informatics
Course coordinator	prof. Ing. Dušan Marček, CSc.

Subject syllabus

The main topics of the course are:
1. Concepts of systemic approach to solving strategic issues, systemic analysis of conditions for preparation of strategic decisions;
2. Data warehouse architecture and its components, organization and data mining, data warehouse implementation, data models, hierarchy, granulation, changing dimensions, metric additives, data warehouse use for decision-making at tactical and strategic management level, methods, flexible tools and the SW products of BI for strategic decision support;
3. Supervized, unsupervized and hybrid learning from data, machine learning and its understanding, SVM, logistic regression, decision trees;
4. Fuzzy systems and fuzzy referral systems, LSP and CWW, fuzzy time series, fuzzy system for identification and prediction of I/O functions of sytems;
5. Prediction of high-frequency data using soft coping methods, learning methods of hybrid UNS based on error correction concept, BP, GA, MGA, heuristics and B-J approach used in dynamic time series modelling.

Literature

RAKUTEN KOBO Strategic Information Systems and Technologies in Modern Organizations. Amazon, 2016,ISBN: .
MAIMOND, O. and ROKACH, L., editors. Soft Computing for Knowledge Discovery and Data Mining. Springer Verlag, Berlin, Germany, 2007, .
ALPAYDIN, E. Introduction to Machine Learning, Cambridge, Mass.: MIT Press, 2010, .
SAUTER, Vicki L. Decision Support Systems for Business Intelligence. Wiley Computer Publishing, 2011. ISBN: 978-0-470-43374-4.

Advised literature

PROVOST, F., FAWCET, T. Data Science for Business. What You Need to Known About Data Mining and Data-Analytic Thinking. Sebastopol, O´Reilly Media, 2013, .
DUJMOVIC, J. Soft Computing Evaluation Logic: The LSP Decision Method and its Applications, Wiley-IEEE Computer Society, Hoboken, 2018, .
LANTZ, B. Machine learning with R. Birmingham. Packt Publishing, 2013, .
MUNDY, J., THORNTHWAITE, W., KIMBAL, R. The Microsoft Data Warehouse Toolkit. With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset. Indiapolis, Wiley Publishing, 2011, ISBN 978-00-47064038-8.

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