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No. Type(s) Class Title
4537 PI Probability Präsenz-Modus
Registration via LPIS
from 2024-02-19 15:00 to 2024-03-01 23:59
De-registration via LPIS
from 2024-02-19 15:00 to 2024-03-03 23:59

Instructor(s) Dipl.-Ing. Aleksandar Arandjelovic
Subject(s) Bachelor Programs Course III - Business Mathematics
Course III - Business Mathematics
Credit hours 2
Language of instruction English

Detailed schedule
Wed, 2024-03-06 08:30-10:30 D2.0.342 Teacher Training Room (Map)
Tue, 2024-03-12 08:30-10:30 D4.0.039 (Map)
Wed, 2024-03-13 08:30-10:30 D2.0.342 Teacher Training Room (Map)
Tue, 2024-03-19 08:30-10:30 D4.0.039 (Map)
Wed, 2024-03-20 08:30-10:30 D2.0.342 Teacher Training Room (Map)
Tue, 2024-04-09 08:30-10:30 D4.0.039 (Map)
Wed, 2024-04-10 08:30-10:30 D2.0.342 Teacher Training Room (Map)
Tue, 2024-04-16 08:30-10:30 D4.0.039 (Map)
Wed, 2024-04-17 08:30-10:30 D2.0.342 Teacher Training Room (Map)
Tue, 2024-04-23 08:30-10:30 D4.0.039 (Map)
Wed, 2024-04-24 08:30-10:30 D2.0.342 Teacher Training Room (Map)
Tue, 2024-04-30 08:30-10:30 P D4.0.039 (Map)
Fri, 2024-05-31 11:00-13:00 D4.0.039 (Map)
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Further information https://learn.wu.ac.at/vvz/24s/4537

Contact details:
wimath@wu.ac.at; aleksandar.arandjelovic@wu.ac.at
Contents:

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.

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.


Attendance requirements:

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.

Teaching/learning method(s):

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.

Assessment:

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.

Prerequisites:

Successful completion of Analysis and Linear Algebra course is necessary.

Last edited: 2024-02-22 10:55

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