LV-Leiter/in | Ass.Prof. Mag.Dr. Petra Staufer-Steinnocher |
Planpunkte Master | Supply Chain Analytics - Course 2 |
Semesterstunden | 2 |
Unterrichtssprache | Englisch |
Termine | ||||
Mo, | 04.03.2024 | 09:00-13:00 Uhr | LC.-1.038 (Lageplan) | |
Mo, | 11.03.2024 | 09:00-13:00 Uhr | LC.-1.038 (Lageplan) | |
Mo, | 18.03.2024 | 09:00-13:00 Uhr | LC.-1.038 (Lageplan) | |
Mo, | 08.04.2024 | 09:00-13:00 Uhr | LC.-1.038 (Lageplan) | |
Mo, | 15.04.2024 | 09:00-13:00 Uhr | LC.-1.038 (Lageplan) | |
Mo, | 22.04.2024 | 09:00-13:00 Uhr | LC.-1.038 (Lageplan) | |
Mo, | 06.05.2024 | 19:00-21:00 Uhr | P | TC.0.01 (Lageplan) |
Termindownload (ical) | Termine abonnieren |
Weitere Informationen | https://learn.wu.ac.at/vvz/24s/4620 |
Kontakt: | ||
Petra.Staufer-Steinnocher@wu.ac.at | ||
Inhalte der LV: | ||
The course focuses on transportation and logistics related real-world applications of Geospatial Systems and Analytics. It is divided into two major sub-modules. The first deals with issues of GIS-based spatial analysis & modeling and selected examples of real-world applications in general using adequate software tools. The second sub-module shifts attention to GIS-based spatial analysis & modeling, especially to GIS network routing problems that have become prominent in GIS-T: the vehicle routing problem with pickup, delivery and time windows and selected examples of real-world applications in general using adequate software tools. |
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Lernergebnisse (Learning Outcomes): | ||
After successful completion of the module, students are able to design a geospatial (network) data and analysis model in a given application context and solve network routing and network allocation problems. |
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Regelung zur Anwesenheit: | ||
According to the examination regulation full attendance is intended for a PI. Absence in one unit is tolerated if a proper reason is given. |
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Lehr-/Lerndesign: | ||
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Leistung(en) für eine Beurteilung: | ||
Original Tasks: max. achievable points = 100
Grading scale:
Prerequisite for passing the course: minimum performance of 40% in the final examination. |
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Teilnahmevoraussetzung(en): | ||
Restricted to MSc SCM (WU) students. |
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