Course syllabus OVA - Operational Research (FBE - WS 2019/2020)


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Course code: OVA
Course title in Czech:
Operational Research
Course title in English:
Operational Research
Semester: WS 2019/2020
Mode of completion and number of credits:
Exam (6 credits)
Mode of delivery and timetabled classes:
full-time, 2/2 (hours of lectures per week / hours of seminars per week)
Level of course: master continuing
Course type:
optional
Type of delivery: consulting
Mode of delivery for our mobility students abroad:
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Language of instruction:
English
Course supervisor:
Course supervising department:
Faculty:
Teachers: Ing. Martina Čampulová, Ph.D. (examiner, instructor, lecturer)
doc. Ing. Mgr. Jitka Janová, Ph.D. (supervisor)
Prerequisites: Final Bachelor Exam
 
Timetable in this semester:
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Aim of the course and learning outcomes:
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 content:
1.
Determination, characterization and possibilities of application of OR (allowance 2/0)
2.Mathematical programming--linear, non-linear stochastic and dynamic (allowance 10/10)
 
a.Linear programming
b.
Convex programming
c.
Quadratic programming
d.Stochastic programming
e.
Dynamic programming

3.
Renewal theory (allowance 4/4)
 
a.
Recovery of outdating equipment -- deterministic model
b.
Recovery of failing products -- stochastic model

4.Inventory management (allowance 2/4)
 
a.
Deterministic models of inventory
b.Stochastic models of inventory

5.
Queueing models (allowance 4/4)
 
a.
Exponential queueing models&emdash;M/M/1 and M/M/c
b.Optimization in the queueing models

6.
Simulation models (allowance 2/2)
7.
Project management (allowance 4/4)
 
a.
Graphs
b.
CPM and PERT methods
c.
Cost and probability costing

Learning activities and teaching methods:
Type of teaching method
Daily attendance
lecture
28 h
practice
28 h
preparation for exam
62 h
preparation for regular assessment20 h
preparation for regular testing
30 h
Total
168 h
 
Assessment methods:
Written test (including theoretical and practical part) at the end of the course. Additional requirements (attendance, seminar work, etc..) are not set. Students can take on the exam calculator and official formulas (no other materials are permitted). To pass the exam, students must obtain at least 50% of available points.
 
Assessment criteria ratio:
Requirement type
Daily attendance
Total
0 %
 
Recomended reading and other learning resources:
Basic:
ANDERSON, D R. et al. An introduction to management science: quantitative approaches to decision making. London: Cengage Learning, 864 p. ISBN 978-1-84480-595-2.
HILLIER, F S. Introduction to management science: a modeling and case studies approach with spreadsheets. 3rd ed. Boston [u.a.: McGraw-Hill/Irwin, 2008. 602 p. The McGraw-Hill/Irwin series. ISBN 978-007-125927-9.
Optimization in operations research. Upper Saddle River, N.J.: Prentice Hall, 919 p. ISBN 0-02-398415-5.
STEVENSON, W J. -- OZGUR, C. Introduction to management science with spreadsheets. Boston: McGraw-Hill/Irwin, 2007. 812 p. ISBN 978-0-07-299066-9.

Course listed in study plans for this semester:
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Course listed in previous semesters:
Teaching place:
Brno


Last modification made by Ing. Jiří Gruber on 09/09/2019.

Type of output: