Systems Supporting the Strategic Decision Making

Type of study	Doctoral
Language of instruction	English
Code	155-9506/01
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

1. concept of systemic approach to solving strategic problems, systemic analysis of conditions for preparation of strategic decision;
2. Data warehousing technology, OLAP, DSS and EIS;
3. types of information mining tasks of prediction information systems (classification), statistics and machine learning, SVM, neural networks, decision trees and rules, association rules, Bayesian inference;
4. methods, flexible tools, SW and BI products to support strategic decision making; knowledge mining;
5. current approaches to system development and strategy implementation.

Literature

ALPAYDIN, E. Introduction to Machine Learning, Cambridge, Mass.: MIT Press, 2010., .
KECMAN, Vojislav. Learning and soft computing: support vector machines, neural networks, and fuzzy logic. Massachusetts: The MIT Press, 2001. .
SAUTER, Vicki L. Decision Support Systems for Business Intelligence. Wiley Computer Publishing, 2011. ISBN: 978-0-470-43374-4.

Advised literature

KECMAN, V. Learning and soft computing: support vector machines, neural networks, and fuzzy logic. Massachusetts: The MIT Press, 2001. .
MAIMOND, O. and ROKACH, L., editors. Soft Computing for Knowledge Discovery and Data Mining. Springer Verlag, Berlin, Germany, 2007, .
ALPAIDIN, Etham. Introduction to Machine Learning (Adaptive Computation and Machine Learning Series), 2010, .

back to search page