Universität Wien
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040186 KU Transportation Logistics (MA) (2017S)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

The course language is English.

Only students who signed up for the class in univis/u:space are allowed to take the class (that means, that you have to at least be on the waiting list if you want to take this class). No exceptions possible.

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 01.03. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 08.03. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 15.03. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 22.03. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 29.03. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 05.04. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 26.04. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 03.05. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 10.05. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 17.05. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 24.05. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 31.05. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 07.06. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 14.06. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 21.06. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 28.06. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

Focus:
• Analy)cal transporta)on logis)cs
• Mathema)cal formula)ons
• Some implementa)on (MS-Excel)
• Solu)on methods
• Algorithms (for easy problems)
• Difficult problems:
• Exact methods
• Heuris)c methods

Assessment and permitted materials

40% mid-term exam
40% final exam
10% homeworks
10% paper summary

Minimum requirements and assessment criteria

Examination topics

Reading list

slide in Moodle

Association in the course directory

Last modified: Mo 07.09.2020 15:28