Course detail

Quantitative methods

FP-KVMAcad. year: 2010/2011

The course focuses especially on the basic principles of operational analysis – systems science, mathematic modelling, linear programming, network analysis -CPM, PERT, MPM and others.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

doc. Ing. Radek Doskočil, Ph.D., MSc

Department

Institute of Informatics (ÚI)

Learning outcomes of the course unit

The main objective of the course is to make students familiar with the basic methods of the optimization applicable for management decision-making. Students will gain knowledge of the methods of linear programming and network analysis and will learn how to use the respective methods for solving economics problems.

Prerequisites

Solution of equations and working out function graphs.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

The graded course unit-credit is awarded on the following conditions:
1. Active participation in the seminars will be checked and evaluated by the teacher - max. 100 points
2. Successful assignment in a defined term.
3. Successful completion of two credit tests.
4. Total amount of points required for a course-unit credit has to be higher than 50 points

The written exam is followed by an oral exam which does not take more than 10 minutes. Its main objective is to make the classification more accurate. In the oral exam, the student informed about the results achieved in the individual tasks of the written exam. Possible discrepancies in the written part can be solved in the oral exam.

Course curriculum

1. Managerial decision-making
2. Systems science
3. Modelling
4. Linear programming
5. Network analysis

Work placements

Not applicable.

Aims

The purpose of the subject is to provide students with quantitative method for company and its management. The next aim is to provide students with the basic methods of the operational analysis applicable for management decision-making.

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

Not applicable.

Recommended reading

ANDERSON, D.R. et al. Quantitative Methods for Business. 13th ed. Boston: Cengage Learning, 2016, 914 p. ISBN-13: 978-1-285-86631-4. (EN)
GROS, I. Kvantitativní metody v manažerském rozhodování. 1. vyd. Praha: Grada Publishing a.s., 2003, 432 s. ISBN 80-247-0421-8. (CS)
MATEO, J.R.S.C. Management Science, Operations Research and Project Management: Modelling, Evaluation, Scheduling, Monitoring. Farnham: Taylor & Francis Group, 2015, 227 (EN)
PLEVNÝ, M.; ŽIŽKA, M. Modelování a optimalizace v manažerském rozhodování. 2.vyd. Plzeň: Západočeská univerzita v Plzni, 2010, 296 s. ISBN 978-80-7043-933-3. (CS)

Classification of course in study plans

  • Programme BAK-MIn Bachelor's

    branch BAK-MIn , 2. year of study, summer semester, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

doc. Ing. Radek Doskočil, Ph.D., MSc

Syllabus

1. Introduction to quantitative method – managerial decision-making, theory of decision-making.
2. System science – theory, application.
3. Mathematic modelling – principle, classification.
4. Introduce to linear programming.
5. Examples of cases of linear programming – optimal production program, cutting problem.
6. Examples of cases of linear programming – distribution problem.
7. Examples of cases of linear programming – another.
8. Graphically and algebraically solving of cases of linear programming.
9. Solving of cases of linear programming with the use of software.
10.Introduction to network analysis.
11.Network analysis – CPM, PERT.
12.Network analysis – MPM.
13.Cases studies.

Exercise

26 hours, compulsory

Teacher / Lecturer

doc. Ing. Radek Doskočil, Ph.D., MSc

Syllabus

1. Introduction to the course.
2. Linear algebra – matrix, determinant.
3. Solving of set of linear equations and in equations.
4. Formulation of cases of linear programming – optimal production program.
5. Formulation of cases of linear programming – distribution problem.
6. Formulation of cases of linear programming – another.
7. Credit test.
8. Graphically and algebraically solving of cases of linear programming.
9. Solving of cases of linear programming with the use of software.
10.Network analysis – CPM, PERT.
11.Network analysis – MPM.
12.Credit test.
13.Summary.