Course objectives:
|
The course gives a introduction to management science methods and techniques. The students will be able to solve the decision making problems with help of common software products and interpret the received results.
|
Requirements on student
|
Credit may be obtained on the basis of the following activities:
a) term paper (10 points maximum);
b) two credit tests (50 points maximum in total).
There is a possibility of doing a joint resit once (usually at the beginning of the examination period).
Achieving the minimum of 30 points in total for all the activities is the precondition for awarding credit.
The specifications of the requirements for the students of the combined form of studies are to be found in the COURSEWARE.
The exam is combined and consists of two parts:
- a written part consisting of a test (12 points maximum) and task solving (8 points maximum);
- an oral part (6 points maximum).
Achieving at least 50% of the points in the written part is a necessary precondition for admission to the second (oral) part of the exam. In both parts of the written exam it is possible to use the original literature as published by the publishing house.
The exam overall assessment:
0 - 12 points - failed
13 - 16 points - good
17 - 20 points - very good
21 and more - excellent
In case of discovering serious imperfections at the stage of the oral exam it is possible to fail a student regardless of the achieved number of points within the preceding stages.
|
Content
|
Introduction to quantitative methods.
Formulation of the linear programming models.
Application of LP to decision making problems.
Geometric representation of an LP-model and its graphical solution.
The Simplex method.
Sensitivity analysis of LP problems
Economics interpretation of duality and shadow prices.
Transportation problem and other special problems of LP, Integer programming.
Introduction to non-linear programming, gradient methods.
Introduction to network models and project management methods.
Introduction to queuing theory.
Basic inventory models.
|
Activities
|
|
Fields of study
|
|
Guarantors and lecturers
|
|
Literature
|
-
Basic:
Anderson, David Ray. An introduction to management science : quantitative approaches to decision making. Mason : Thomson/South-Western, 2008. ISBN 978-0-324-39980-6.
-
Basic:
PLEVNÝ, M., ŽIŽKA, M. Modelování a optimalizace v manažerském rozhodování. 1. vyd. Plzeň : Západočeská univerzita, 2005. ISBN 80-7043-435-X.
-
Recommended:
WISNIEWSKI, M. Metody manažerského rozhodování. 1. vyd. Praha : Grada, 1996. ISBN 80-7169-089-9.
-
Recommended:
PLEVNÝ, M., LUKÁŠ, L. Operační výzkum. 1. vyd. Plzeň : Západočeská univerzita, 2000. ISBN 80-7082-641-X.
-
On-line library catalogues
|
Time requirements
|
All forms of study
|
Activities
|
Time requirements for activity [h]
|
Contact hours
|
52
|
Undergraduate study programme term essay (20-40)
|
30
|
Preparation for an examination (30-60)
|
50
|
Preparation for comprehensive test (10-40)
|
30
|
Total
|
162
|
|
Prerequisites
|
Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
to know the basic concepts of the business economics |
to use knowledge of mathematics at the high school-leaving examination, especially in the following areas: linear algebra, analysins of elementary functions, simple derivation of functions of multiple variables |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
to manage to work with MS EXcel |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
|
Learning outcomes
|
Knowledge - knowledge resulting from the course: |
to identify and to define specific problems of the quantitative analysis |
to identify relevant information, links and relationships needed to solve a given problem |
to evaluate and interpret the obtained solutions that are initially specified in terms of practice-oriented problem |
Skills - skills resulting from the course: |
to build a simple model of a given problem and choose the appropriate method for its solution |
to solve the model using widely available software |
Competences - competences resulting from the course: |
N/A |
|
Assessment methods
|
Knowledge - knowledge achieved by taking this course are verified by the following means: |
Combined exam |
Test |
Skills demonstration during practicum |
Skills - skills achieved by taking this course are verified by the following means: |
Skills demonstration during practicum |
Seminar work |
Competences - competence achieved by taking this course are verified by the following means: |
Seminar work |
|
Teaching methods
|
Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture |
Practicum |
Task-based study method |
Self-study of literature |
Individual study |
Skills - the following training methods are used to achieve the required skills: |
Practicum |
Task-based study method |
Individual study |
Competences - the following training methods are used to achieve the required competences: |
Lecture |
Practicum |
|