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Course info
KPV / OVS
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Course description
Department/Unit / Abbreviation
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KPV
/
OVS
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Operations Research in Engineering
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
4
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Lecture
2
[Hours/Week]
Tutorial
2
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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YES
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Language of instruction
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Czech
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Occ/max
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|
|
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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27 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Winter semester
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Semester taught
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Winter semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
Yes
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Fundamental course |
No
|
Fundamental theoretical course |
Yes
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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KPV/OV1
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
,
XLS
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Course objectives:
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Aims are to familiarize the student with the problematics of operational research and its application in a business environment. A further aim is to equip the student with knowledge of modelling and solving business practice situations using operations research.
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Requirements on student
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Conditions for gaining credit are to pass a test, write and successfully defend semestral work.
Examination comprises of written and oral part.
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Content
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The course acquaints students with the problematics of operational research and its applications for use in the company environment.
1. General overview of operational research methods, modeling, task classification
2. Mathematical programming
3. Optimization analysis
4. Distribution models of linear programming I.
5. Distribution models of linear programming II.
6. Distribution models of linear programming III.
7. Network analysis methods I.
8. Network analysis methods II.
9. Theory of mass service
10. Recovery theory, line balancing methods, sequential models
11. Game theory
12. Localization models
13. Modern approaches to operational research
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Activities
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Fields of study
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Studentům je k dispozici prostředí MS Teams a Courseware, kde jsou k dispozici studijní materiály pro přednášky i cvičení, možnost diskuze a odevzdávání semestrálních prací.
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Guarantors and lecturers
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Literature
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Basic:
Fiala, Petr. Operační výzkum : nové trendy. 1. vyd. Praha : Professional Publishing, 2010. ISBN 978-80-7431-036-2.
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Extending:
GROS, I. Kvantitativní metody v manažerském rozhodování. 1. vyd. Praha : Grada Publishing, 2003. ISBN 80-247-0421-8.
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Extending:
JABLONSKÝ, J. Operační výzkum : kvantitativní modely pro ekonomické rozhodování. 2. vyd. Praha : Professional Publishing, 2002. ISBN 80-86419-42-8.
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Recommended:
Edl, Milan; Kudrna, Jiří. Metody průmyslového inženýrství. [Plzeň] : SmartMotion, 2013. ISBN 978-80-87539-40-8.
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Recommended:
Plevný, Miroslav; Žižka, Miroslav. Modelování a optimalizace v manažerském rozhodování. Vyd. 2. Plzeň : Západočeská univerzita, 2010. ISBN 978-80-7043-933-3.
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Recommended:
Dostál, Petr; Sojka, Zdeněk; Rais, Karel. Pokročilé metody manažerského rozhodování. Praha, 2006.
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On-line library catalogues
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Contact hours
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52
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Preparation for an examination (30-60)
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45
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Individual project (40)
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20
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Total
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117
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
prerequisite for the course is an elementary knowledge of mathematical analysis and algebra |
describe and explain analytical methods for description of business processes |
use theoretical knowledge independently in the field of industrial engineering, project management, algebra |
provide clear and convincing information to experts and laymen about the description of selected business processes using mathematical tools |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
apply independently own knowledge of the theoretical fundamentals of operational research to solve practical problems in the field of business process analysis |
obtain additional professional skills indepentently on the basis of practical experience and their evaluation |
analyze selected business processes |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
to know the issue of operational research and its applications for use in the company environment |
to know the software environment for solving operational research tasks |
obtain further professional knowledge independently by studying theoretical knowledge of the field of operational research |
Skills - skills resulting from the course: |
apply own theoretical knowledge in the field of operational research and application of its methods |
analyze simple model situations using selected operational research methods |
independently develop models related to the application of operational research methods in industrial practice |
interpret the results obtained by calculation in a comprehensible way to experts and laymen |
obtain additional professional skills independently on the basis of practical experience in the field |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Oral exam |
Test |
Seminar work |
Skills - skills achieved by taking this course are verified by the following means: |
Skills demonstration during practicum |
Oral exam |
Individual presentation at a seminar |
Competences - competence achieved by taking this course are verified by the following means: |
Oral exam |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Interactive lecture |
Discussion |
Skills - the following training methods are used to achieve the required skills: |
Practicum |
Discussion |
Multimedia supported teaching |
Competences - the following training methods are used to achieve the required competences: |
Interactive lecture |
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