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Pfad: VVZ SoSe 2024 > Verzeichnis der LV gegliedert nach Instituten und Abteilungen

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Nr. LV-Typ(en) LV-Titel
4537 PI Probability Präsenz-Modus
Anmeldung über LPIS
vom 19.02.2024 15:00 bis 01.03.2024 23:59
Abmeldung über LPIS
vom 19.02.2024 15:00 bis 03.03.2024 23:59

LV-Leiter/in Dipl.-Ing. Aleksandar Arandjelovic
Planpunkte Bachelor Course III - Business Mathematics
Kurs III - Wirtschaftsmathematik
Semesterstunden 2
Unterrichtssprache Englisch

Termine
Mi, 06.03.2024 08:30-10:30 Uhr D2.0.342 Teacher Training Raum (Lageplan)
Di, 12.03.2024 08:30-10:30 Uhr D4.0.039 (Lageplan)
Mi, 13.03.2024 08:30-10:30 Uhr D2.0.342 Teacher Training Raum (Lageplan)
Di, 19.03.2024 08:30-10:30 Uhr D4.0.039 (Lageplan)
Mi, 20.03.2024 08:30-10:30 Uhr D2.0.342 Teacher Training Raum (Lageplan)
Di, 09.04.2024 08:30-10:30 Uhr D4.0.039 (Lageplan)
Mi, 10.04.2024 08:30-10:30 Uhr D2.0.342 Teacher Training Raum (Lageplan)
Di, 16.04.2024 08:30-10:30 Uhr D4.0.039 (Lageplan)
Mi, 17.04.2024 08:30-10:30 Uhr D2.0.342 Teacher Training Raum (Lageplan)
Di, 23.04.2024 08:30-10:30 Uhr D4.0.039 (Lageplan)
Mi, 24.04.2024 08:30-10:30 Uhr D2.0.342 Teacher Training Raum (Lageplan)
Di, 30.04.2024 08:30-10:30 Uhr P D4.0.039 (Lageplan)
Termindownload (ical) | Termine abonnieren

Weitere Informationen https://learn.wu.ac.at/vvz/24s/4537

Kontakt:
wimath@wu.ac.at; aleksandar.arandjelovic@wu.ac.at
Inhalte der LV:

This is an undergraduate course which aims to provide students of Business Mathematics Specialization with the basic ideas of probability required for the study of Economics and related subjects.

Lernergebnisse (Learning Outcomes):

After completing this class successfully the student will have the ability to:

  • Define, describe and work with the basic concepts in probability,
  • Understanding and modeling of random phenomenon,
  • Use methods and ideas from probability to solve simple real-world problems.


Regelung zur Anwesenheit:

Students have to attend at least 10 of the 12 lectures, at most two lectures can be missed. In case of illness a medical attest is necessary. In exceptional cases students have to inform the lecturer in advance. Unit 10, 11 (presentation of projects) and unit 12 (exam) may not be missed.

These rules apply also to online units.

Lehr-/Lerndesign:

The course consists of lectures and accompanying weekly tutorials The lecture part presents the theoretical concepts and gives examples. Students can work out a project in applied probability related to the taught material. In times of distance learning the tutorials are replaced by exercises as homework.

Leistung(en) für eine Beurteilung:

In case of distance learning:

  • 25% weekly tutorials or homework exercises
  • 35% final exam
  • 40% project in applied probability

There will be no opportunity to retake the final exam.

Teilnahmevoraussetzung(en):

Successful completion of Analysis and Linear Algebra course is necessary.

Zuletzt bearbeitet: 22.02.2024 10:55

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