Course syllabus OV - Operational Research (FBE - SS 2019/2020)

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Course code: OV
Course title in language of instruction: Operační výzkum
Course title in Czech: Operational Research
Course title in English: Operational Research
Mode of completion and number of credits: Exam (6 credits)
(1 ECTS credit = 28 hours of workload)
Mode of delivery/Timetabled classes: full-time, 2/2 (hours of lectures per week / hours of seminars per week)
part-time, 16/0 (lectures per period / seminars per period)
Language of instruction: Czech
Level of course: master continuing
Semester: SS 2019/2020
Name of lecturer: Ing. Martina Čampulová, Ph.D. (instructor)
doc. Ing. Mgr. Jitka Janová, Ph.D. (supervisor)
Ing. Jakub Šácha, Ph.D. (examiner, instructor, lecturer)
Prerequisites: Final Bachelor Exam
Aims of the course:
The aim of the course is to present advanced mathematical methods of operational research which can be directly used as a managerial decision making support tool. This course results from Economic Mathematical Methods and continues with more sophisticated parts of Operations Research. On the end of this course students should have general knowledge of intermediate Operations research methods. Part of this course is also focused on practical applications and use of specific software.
Course contents:
1.The subject of operational research: clasification of methods, possibility of application and basic structures. (allowance 2/2)
2.Mathematical programming (allowance 14/14)
a.Convex programming - introduction
b.Quadratic programming
c.Stocahstic programming - the simplest methods
d.Dynamical programming - applications in managerial decision making

3.Renewal theory (allowance 2/2)
4.Inventory management (allowance 2/2)
a.Deterministic models
b.Stochastic models

5.Queueing models (allowance 2/2)
a.Exponential queueing models--M/M/1 and M/M/c
b.Optimization in the queueing models

6.Project management (allowance 2/2)
7.Some applications of game theory in managerial decision making (allowance 2/2)
Learning outcomes and competences:
Generic competences:
-Ability to apply knowledge
-Ability to make decisions
-Ability to solve problems
-Basic computing skills

Specific competences:
-Student can explain the principles of advanced operations research techniques
-Student can choose appropriate and effective method of decission problem solving
-Student is able to build and solve appropriate optimization model
-Student is able to describe the solution process of decision making problem

Type of course unit: required
Year of study: Not applicable - the subject could be chosen at anytime during the course of the programme.
Work placement: There is no compulsory work placement in the course unit.
Recommended study modules: -
Learning activities and study load (hours of study load):
Type of teaching methodDaily attendanceCombined form
Direct teaching
     lecture28 h8 h
     practice28 h8 h
     consultation2 h2 h
     preparation for exam72 h80 h
     preparation for regular assessment0 h20 h
     preparation for regular testing38 h0 h
     elaboration of reports0 h25 h
     writing of seminar paper0 h25 h
Total168 h168 h
Assessment methods:
Recommended reading:
TypeAuthorTitlePublished inPublisherYearISBN
RQJABLONSKÝ, J.Operační výzkumPrahaVŠE200180-245-0162-7
RQJANOVÁ, J. -- KOLMAN, P.Vybrané kapitoly z operačního výzkumuBrnoMendelova univerzita v Brně2011978-80-7375-488-4
REPLEVNÝ, M. -- ŽIŽKA, M.Modelování a optimalizace v manažerském rozhodováníPlzeňZápadočeská univerzita2007978-80-7043-435-2
REHILLIER, F S.Introduction to operations researchBostonMcGraw-Hill2010978-007-126767-0


Last modification made by Ing. Jiří Gruber on 10/25/2019.

Type of output: