Course detail

Quantitative methods

FP-BQMEAcad. year: 2024/2025

The course is focused on theoretical explanation and practical application of selected methods of operational analysis as a systemic basis of quantitative approach to decision making in economics and management. Emphasis is placed especially on the manager´s view, which is based on the fact, that in the application of quantitative methods his main task focuses on the phase of model formulation, its interpretation and implementation of model outputs into the original real system.

Language of instruction

English

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Radek Doskočil, Ph.D., MSc

Department

Institute of Informatics (ÚI)

Offered to foreign students

Of all faculties

Entry knowledge

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

Rules for evaluation and completion of the course

COMPLETION OF THE COURSE

Requirements for gaining the credit:

Successful completion and defence of the semester project by the deadline: max. 40 points, min. 20 points required.

Examination requirements:

Successful completion of the written test: max. 60 points, min. 30 points required.

The examination is in writing (oral examination if necessary).

The resulting mark for the course is the sum of the points from the seminars and the examination according the grade scale ECTS of BUT Study and Examination Regulations:
A: 100 – 90 points
B: 89 – 80 points
C: 79 – 70 points
D: 69 – 60 points
E: 59 – 50 points
F: 49 – 0 points

 

COMPLETION OF THE COURSE FOR STUDENTS WITH INDIVIDUAL STUDY

Requirements for gaining the credit:

The same as in the section COMPLETION OF THE COURSE.

Examination requirements:

The same as in the section COMPLETION OF THE COURSE.

 

COMPLETION OF THE COURSE USING DISTANCE FORM (APPLIES ONLY WHEN OBJECTIVE EXTERNAL CIRCUMSTANCES DO NOT ALLOW THE IMPLEMENTATION OF THE STUDY PROGRAM IN ACCORDANCE WITH THE GRANTED ACCREDITATION)

Requirements for gaining the credit:

The same as in the section COMPLETION OF THE COURSE.

Examination requirements:

The same as in the section COMPLETION OF THE COURSE.

Aims

The aim of the course is to acquaint students with selected quantitative methods from the field of operational analysis and their practical application, which strengthens the skills of logical and systems thinking in solving decision problems in economic systems.

Study aids

See Course literature.
Study materials available on e-learning.

Prerequisites and corequisites

Not applicable.

Basic literature

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)
RAIS, K, DOSTÁL, P. Operational Research. CERM. Brno: CERM Akademické nakladatelství, 2008. 84 p. ISBN: 978-80-214-3437-0 (EN)

Recommended reading

LESTER, A. Project Management, Planning and Control: Managing Engineering, Construction and Manufacturing Projects to PMI, APM and BSI Standards. 6th Edition, Oxford: Butterworth-Heinemann, 2013. 592 p. ISBN 9780080983240. (EN)
MATEO, J.R.S.C. Management Science, Operations Research and Project Management: Modelling, Evaluation, Scheduling, Monitoring. Farnham: Taylor & Francis Group, 2015, 227 p. ISBN 9781472426437. (EN)
YADAV, S.R., MALIK, A.K. Operations Research. New Delhi, India: Oxford University Press, 2014. 691 p. ISBN 978-0-19-809618-4. (EN)

Classification of course in study plans

  • Programme BAK-Z Bachelor's

    branch BAK-Z , 1 year of study, summer semester, elective

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

doc. Ing. Radek Doskočil, Ph.D., MSc

Syllabus

1. Introduction to linear programming.
2. Formulation of a mathematical model of linear programming.
3. Formulation of a mathematical model of linear programming.
4. Solving linear programming problems.
5. Introduction to project management.
6. Time analysis of deterministic network graphs.
7. Time analysis of stochastic network graphs.
8. Construction of project schedule.
9. Resource analysis of the project.
10. Time analysis of AON (Activity-On-Node) network graphs.
11. Time analysis of generalized network graph.
12. Theory of decision making.
13. System science.

Exercise

13 hod., compulsory

Teacher / Lecturer

doc. Ing. Radek Doskočil, Ph.D., MSc

Syllabus

1. Formulation of a mathematical model of linear programming.
2. Formulation of a mathematical model of linear programming.
3. Graphical solving of linear programming problems.
4. Time analysis of deterministic network graph.
5. Time analysis of stochastic network graph.
6. Check test.
7. Correction test.