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Course info
KTRD / RMMVR
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Course description
Department/Unit / Abbreviation
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KTRD
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RMMVR
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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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Mathematical Methods in Transport Contro
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Form of course completion
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Examination
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Form of course completion
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Examination
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Long Title
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Mathematical Methods in Transport Control
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Accredited / Credits
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Yes,
0
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
16
[HRS/WEEK]
Seminar
10
[Hours/Semester]
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Course credit prior to examination
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No
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Course credit prior to examination
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No
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Automatic acceptance of credit before examination
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No
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Included in study average
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NO
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Language of instruction
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English
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Occ/max
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|
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Automatic acceptance of credit before examination
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No
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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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NO
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Winter semester
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1 / -
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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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not determined
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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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English
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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 |
S|N |
Periodicity |
každý rok
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Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
No
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Fundamental theoretical course |
No
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Evaluation scale |
S|N |
Substituted course
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None
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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
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XLS
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Course objectives:
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-
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Requirements on student
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-
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Content
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- Deterministic models.
- Stochastic models.
- Basics of simulation modelling. Generation of stochastic input values in simulation models.
- Decision making problems. Methods of game theory, application for decision making in conflicting situations.
- Schedules. Transport application, spatial, time and circulation schedules.
- Basic principles of periodic transport systems, mathematical methods, systematic transport processes.
- Integrated periodic timeschedule - properties, dependencies modelled by graph theory, optimization, patterns and conditions.
- Integrated interchange junctions - characteristics, parameters, layout optimization, mathematical dependencies.
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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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Basic:
Eiselt, Horst A.. Decision analysis, location models, and scheduling problems. Berlin: Springer-Verlag, 2010. ISBN 978-3-642-07315-1.
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Basic:
Ortúzar Salas, Juan de Dios. Modelling transport. Chichester: John Wiley & Sons, 2011. ISBN 978-0-470-76039-0.
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Basic:
Liebchen. Periodic Timetable Optimization in Public Transport. Berlin, 2006. ISBN 978-3-86624-150-X.
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Basic:
Asmussen, Soren. Stochastic simulation : algorithms and analysis. New York: Springer Science+Business Media, 2007. ISBN 978-0-387-30679-7.
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Recommended:
Albright, S. Christian. Data analysis & decision making. Mason: Thomson South-Western, 2006. ISBN 0-324-40086-1.
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Recommended:
Schneeweiss, Christoph. Distributed decision making. Berlin: Springer-Verlag, 2003. ISBN 3-540-40201-2.
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Recommended:
Pinedo, Michael L. Scheduling : theory, algorithms, and systems. New York: Springer, 2012. ISBN 978-1-4614-1986-0.
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Recommended:
Nelson, Barry L. Stochastic modeling : analysis and simulation. New York: McGraw-Hill, 1995. ISBN 0-07-046213-5.
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Prerequisites - other information about course preconditions |
- |
Competences acquired |
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Teaching methods |
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Assessment methods |
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