155-9506/01 – Systems Supporting the Strategic Decision Making (SPSR)

Gurantor departmentDepartment of Applied InformaticsCredits10
Subject guarantorprof. Ing. Dušan Marček, CSc.Subject version guarantorprof. Ing. Dušan Marček, CSc.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2014/2015Year of cancellation
Intended for the facultiesEKFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
HUD0118 doc. Dr. Ing. Miroslav Hudec
MAR0011 prof. Ing. Dušan Marček, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 28+0
Part-time Examination 28+0

Subject aims expressed by acquired skills and competences

The aim of the course is to improve theoretical and methodological knowledge in the use of information technologies to support information systems and the development of methods for strategic decision-making.framework for strategic management

Teaching methods

Lectures
Individual consultations

Summary

The aim of the course is to improve theoretical and methodological knowledge in the use of information technologies to support information systems and the development of methods for strategic decision-making.framework for strategic management

Compulsory literature:

ALPAYDIN, E. Introduction to Machine Learning, Cambridge, Mass.: MIT Press, 2010., ISBN: 9780262028189. KECMAN, Vojislav. Learning and soft computing: support vector machines, neural networks, and fuzzy logic. Massachusetts: The MIT Press, 2001. ISBN 0-262-11255-8. SAUTER, Vicki L. Decision Support Systems for Business Intelligence. Wiley Computer Publishing, 2011. ISBN: 978-0-470-43374-4.

Recommended literature:

KECMAN, V. Learning and soft computing: support vector machines, neural networks, and fuzzy logic. Massachusetts: The MIT Press, 2001. ISBN 0-262-11255-8. MAIMOND, O. and ROKACH, L., editors. Soft Computing for Knowledge Discovery and Data Mining. Springer Verlag, Berlin, Germany, 2007, ISBN: 978-0387699349. ALPAIDIN, Etham. Introduction to Machine Learning (Adaptive Computation and Machine Learning Series), 2010, ISBN: 978-0262012119.

Way of continuous check of knowledge in the course of semester

Exam: questios from selected topics

E-learning

Other requirements

Elaborating a written work that has a close relation to the PhD thesis topic.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

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.

Conditions for subject completion

Full-time form (validity from: 2014/2015 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

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Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P English Ostrava Choice-compulsory study plan
2020/2021 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K English Ostrava Choice-compulsory study plan
2020/2021 (P0311D050020) Systems Engineering and Informatics K English Ostrava Compulsory study plan
2020/2021 (P0311D050020) Systems Engineering and Informatics P English Ostrava Compulsory study plan
2019/2020 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P English Ostrava Choice-compulsory study plan
2019/2020 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K English Ostrava Choice-compulsory study plan
2018/2019 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P English Ostrava Choice-compulsory study plan
2018/2019 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K English Ostrava Choice-compulsory study plan
2017/2018 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P English Ostrava Choice-compulsory study plan
2017/2018 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K English Ostrava Choice-compulsory study plan
2016/2017 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P English Ostrava Choice-compulsory study plan
2016/2017 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K English Ostrava Choice-compulsory study plan
2015/2016 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P English Ostrava Choice-compulsory study plan
2015/2016 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K English Ostrava Choice-compulsory study plan
2014/2015 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2014/2015 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner