155-0906/01 – 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 languageCzech
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.

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.

Compulsory literature:

MAIMOND, O. and ROKACH, L., editors. Soft Computing for Knowledge Discovery and Data Mining. Springer Verlag, Berlin, Germany, 2007, ISBN: 978-0387699349. ALPAYDIN, E. Introduction to Machine Learning, Cambridge, Mass.: MIT Press, 2010, ISBN: 9780262028189. SAUTER, Vicki L. Decision Support Systems for Business Intelligence. Wiley Computer Publishing, 2011. ISBN: 978-0-470-43374-4.

Recommended 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, ISBN 978-1-449-36132-7. DUJMOVIC, J. Soft Computing Evaluation Logic: The LSP Decision Method and its Applications, Wiley-IEEE Computer Society, Hoboken, 2018, ISBN: 978-1-119-25645-8. 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.

Way of continuous check of knowledge in the course of semester

Zkouška: ústní otázky z daných okruhů

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:

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.

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:

Show history

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 Czech Ostrava Choice-compulsory study plan
2020/2021 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2020/2021 (P0311D050019) Systems Engineering and Informatics P Czech Ostrava Compulsory study plan
2020/2021 (P0311D050019) Systems Engineering and Informatics K Czech Ostrava Compulsory study plan
2019/2020 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2019/2020 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2018/2019 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2018/2019 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2017/2018 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2017/2018 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2016/2017 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2016/2017 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2015/2016 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2015/2016 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech 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