Course detail

Operational and System Analysis

FP-PosaKAcad. year: 2020/2021

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. Emphasis is also placed on the use of appropriate software support.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Learning outcomes of the course unit

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.

Prerequisites

For the study of the subject are required basic knowledge of management (management functions, managerial roles) and mathematics (linear algebra, graph theory, probability).

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline, including illustrative examples.

Assesment methods and criteria linked to learning outcomes

The following conditions have to be met by a student to be given the graded credit:
1. Successful completion of the semester project within the specified deadline.
2. Successful completion of two credit tests (min 50%).

Course curriculum

1. Subject of and familiarity with basic concepts.
2. Managerial decision making – introduction.
3. Managerial decision making – selected methods and techniques.
4. Graph theory – introduction.
5. Graph theory – selected practical applications.
6. Methods of network analysis – introduction.
7. Methods of network analysis – selected practical applications.
8. Mathematical programming – introduction.
9. Mathematical programming – selected practical applications.
10. Soft computing – introduction.
11. Soft computing – selected practical applications.
12. Inventory management models – introduction.
13. Models inventory management – selected practical applications.

Work placements

Not applicable.

Aims

The course aims to acquaint the students with methods of operational research and their applications.

Specification of controlled education, way of implementation and compensation for absences

A student’s own work on the tasks assigned is checked.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

RAIS, K., DOSKOČIL, R. Operační a systémová analýza I. Brno: Akademické nakladatelství CERM, 2011. 125 s. ISBN 978-80-214-4364-8. (CS)
RAIS, K.; DOSTÁL, P.; DOSKOČIL, R. Operační a systémová analýza II. Brno, Akademické nakladatelství CERM. 2007. ISBN 978-80-214-3371-7. (CS)

Recommended reading

DOSKOČIL, R. Metody, techniky a nástroje řízení projektů. Brno: AKADEMICKÉ NAKLADATELSTVÍ CERM, s.r.o., 2013. 165 s. ISBN: 978-80-7204-863-2. (CS)
DOSTÁL, P. Pokročilé metody analýz a modelování v podnikatelství a veřejné správě. CERM, 2008, 430s, ISBN 978-80-7204-605-8 (CS)
DVOŘÁK, D., KALIŠ, J., SIRŮČEK, J. Mistrovství v Microsoft Project 2010. 1. vyd. Brno: Computer Press, 2011. 520 s. ISBN 978-80-251-3074-2. (CS)
JABLONSKÝ, J. Operační výzkum; kvantitativní modely pro ekonomické rozhodování. 3. vyd. Praha: Professional Publishing, 2007. 324 s. ISBN 978-80-8694-644-3. (CS)
PLEVNÝ, M., ŽIŽKA, M. Modelování a optimalizace v manažerském rozhodování. 1. vyd., Plzeň: Západočeská univerzita v Plzni, 2005. 298 s. ISBN 80-7043-435-X. (CS)
WISNIEWSKI, M. Metody manažerského rozhodování. Praha: Grada Publishing a.s., 1996. 512 s. ISBN 80-7169-089-9. (CS)

Classification of course in study plans

  • Programme MGR-KS Master's

    branch MGR-PFO-KS , 1. year of study, winter semester, compulsory-optional

Type of course unit

 

Lecture

16 hours, optionally

Teacher / Lecturer

Syllabus

1. Subject of and familiarity with basic concepts.
2. Managerial decision making – introduction.
3. Managerial decision making – selected methods and techniques.
4. Graph theory – introduction.
5. Graph theory – selected practical applications.
6. Methods of network analysis – introduction.
7. Methods of network analysis – selected practical applications.
8. Mathematical programming – introduction.
9. Mathematical programming – selected practical applications.
10. Soft computing – introduction.
11. Soft computing – selected practical applications.
12. Inventory management models – introduction.
13. Models inventory management – selected practical applications.

Guided consultation in combined form of studies

15 hours, optionally

Teacher / Lecturer