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Nr. LV-Typ(en) LV-Titel
5338 PI SCA 2: Geospatial Systems and Analytics (Group C) Präsenz-Modus
Anmeldung über LPIS
vom 01.02.2024 15:00 bis 08.02.2024 23:59
Abmeldung über LPIS
vom 01.02.2024 15:00 bis 03.03.2024 23:59

LV-Leiter/in Ass.Prof. Mag.Dr. Petra Staufer-Steinnocher
Planpunkte Master Supply Chain Analytics - Course 2
Semesterstunden 2
Unterrichtssprache Englisch

Termine
Mi, 06.03.2024 09:00-12:30 Uhr LC.-1.038 (Lageplan)
Mi, 13.03.2024 09:00-12:30 Uhr LC.-1.038 (Lageplan)
Mi, 20.03.2024 09:00-12:30 Uhr LC.-1.038 (Lageplan)
Mi, 10.04.2024 09:00-12:30 Uhr LC.-1.038 (Lageplan)
Mi, 17.04.2024 09:00-12:30 Uhr LC.-1.038 (Lageplan)
Mi, 24.04.2024 09:00-12:30 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/5338

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.

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.

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.

Lehr-/Lerndesign:
  • lecture and discussion
  • lab course tutorials
  • pre-/after-class work: preparatory readings, assignments
Leistung(en) für eine Beurteilung:

Original Tasks: max. achievable points = 100

  • Individual and group assignments (50)
  • In-class quiz (5)
  • final exam (45)

Grading scale:

  • Excellent (1): 90% - 100% (>= 90 points)
  • Good (2): 80% - <90% (80 - < 90 points)
  • Satisfactory (3): 70% - <80% (70 - < 80 points)
  • Sufficient (4): 60% - <70% (60 - < 70 points)
  • Fail (5): <60% (< 60 points)

Prerequisite for passing the course: minimum performance of 40% in the final examination.

Teilnahmevoraussetzung(en):

Restricted to MSc SCM (WU) students.

Zuletzt bearbeitet: 05.12.2023 13:42

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