Course detail

Operational and System Analysis

FP-IosaPAcad. year: 2017/2018

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

Mode of study

Not applicable.

Guarantor

prof. Ing. Karel Rais, CSc., MBA, dr. h. c.

Department

Institute of Informatics (ÚI)

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

Solution of equations and working out function graphs, knowledge of derivatives and integrations. Knowledge of fundamentals of organisation and corporate management functions.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course contains lectures that explain basic principles, problems and methodology of the discipline, and exercises that promote the practical knowledge of the subject presented in the lectures.

Assesment methods and criteria linked to learning outcomes

The following conditions have to be met by a student to be given the credit:
1. Successful completion of the semester project within the specified deadline.
2. Successful completion of two credit tests.
Examination Requirements:
1. Successful completion of the exam test (min 50%).
Form of examination: Combined - a written test possibly followed by an oral examination.

Course curriculum

1. Managerial decision making – introduction.
3. Managerial decision making – selected methods and techniques.
3. Managerial decision making – selected methods and techniques.
4. Linear programming.
5. Transportation problem – introduction.
6. Transportation problem – selected methods and techniques.
7. Inventory management models.

Work placements

Not applicable.

Aims

The main objective of the course is to make students familiar with the basic methods of the optimization applicable for management decision-making, and to develop their skills necessary for the application of this knowledge to solutions of practical organizational and economic problems in a 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.

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

Control of results of independent written projects.

Recommended optional programme components

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-SI Master's

    branch MGR-IM , 1 year of study, winter semester, compulsory

Type of course unit

 

Lecture

13 hod., optionally

Teacher / Lecturer

doc. Ing. Radek Doskočil, Ph.D., MSc

Syllabus

1. Managerial decision making – introduction.
3. Managerial decision making – selected methods and techniques.
3. Managerial decision making – selected methods and techniques.
4. Linear programming.
5. Transportation problem – introduction.
6. Transportation problem – selected methods and techniques.
7. Inventory management models.

Exercise

26 hod., compulsory

Teacher / Lecturer

Ing. et Ing. František Hortai, Ph.D.

Syllabus

1. Managerial decision making – selected methods and techniques.
2. Managerial decision making – selected methods and techniques.
3. Managerial decision making – selected methods and techniques.
4. Linear programming.
5. Linear programming.
6. Check test I.
7. Transportation problem.
8. Transportation problem.
9. Inventory management models.
10. Check test II.
11. Presentation of the project.
12. Presentation of the project.
13. Correction test.