No. | Type(s) | Class Title | |
4537 | PI | Probability
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) | |
Download schedule (ical) | Subscribe schedule |
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. |
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Learning Outcomes: | ||
After completing this class successfully the student will have the ability to:
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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. |
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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. |
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Assessment: | ||
In case of distance learning:
There will be no opportunity to retake the final exam. |
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Prerequisites: | ||
Successful completion of Analysis and Linear Algebra course is necessary. |
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