Course detail

Operational and System Analysis

FP-IosaKAcad. year: 2023/2024

The course focuses on the introduction and practical use of selected discipline of operational research, especially in the context of support managerial decision making. Interpretation is headed from explaining the basic theoretical background to their practical application.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

prof. Ing. Petr Dostál, CSc.

Department

Institute of Informatics (ÚI)

Entry knowledge

Not applicable.

Rules for evaluation and completion of the course

Successful completion of the examination test (min 50%). Form of examination: written test and, if necessary, oral retest.

Checking the test results.

Aims

The aim of the course is to acquaint the student with the basic methods that can be used in managerial decision-making and to develop his ability to use this knowledge in solving practical organizational and economic problems of the company. Students will be also made familiar with the basic principles of modelling of traditional management problems; they will master the basic modelling principles suitable for well structured and deterministic management problems. They will be able to apply individual methods of the operational analysis under the conditions of particular company.

 


The students acquire knowledge and skills of practical use of selected methods of operational research in business management by completing the course.
The students will adapt selected methods and techniques thanks the practical realisation of concrete case studies.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

DOSTÁL, P., JANKOVÁ, Z. Operační a systémová analýza - Pokročilé metody, 2023, 101p, ISBN 978-80-7623-107-8. Druhé aktualizované vydání. (CS)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme MGR-IM-KS Master's 2 year of study, winter semester, compulsory

Type of course unit

 

Guided consultation in combined form of studies

12 hod., optionally

Teacher / Lecturer

prof. Ing. Petr Dostál, CSc.

Syllabus

1. Linear programming, decision matrices and trees, classification 2. Time series, prediction, data mining 3. Test