240043 Stochastik (V) (WiSe 2014/2015)
Contents, comment
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Stochastische Modelle spielen in vielen verschiedenen
Anwendungsbereichen, darunter Statistik,
Wirtschaftswissenschaften, Finanzmathematik, Physik,
Biologie und Ingenieurwissenschaften eine wichtige Rolle.Die Vorlesung Stochastik ist eine erste Einfuehrung
in die Stochastik; sie fuehrt hin zu den fortgeschritteneren
Vorlesungen Stochastik II und Wahrscheinlichkeitstheorie.In der Vorlesung werden u.a. folgende Themen behandelt:
Wahrscheinlichkeitsraeume, Zufallsvariablen, bedingte
Wahrscheinlichkeiten, Erwartungswerte, Unabhaengigkeit,
Summen unabhaengiger Zufallsvariablen, Gesetze der grossen
Zahlen, zentraler Grenzwertsatz.
Requirements for participation, required level
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Kenntnisse aus der Analysis
Bibliography
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Georgii, H.-O., Stochastik, 4. Auflage, 2009
Krengel, U., Einführung in die Wahrscheinlichkeitstheorie und Statistik, 8. Auflage, 2005
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Examinations
| Date | Time | Format / Room | Comment about examination |
|---|
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Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 24-A1 Aufbaumodul Mathematik 1 | Vorlesung gemäß Modulbeschreibung | Student information | |
| - | Graded examination | Student information | |
| 24-A2 Aufbaumodul Mathematik 2 | Vorlesung gemäß Modulbeschreibung | Student information | |
| - | Graded examination | Student information | |
| 24-E Ergänzungsmodul Mathematik | Vorlesung gemäß Modulbeschreibung | Student information | |
| 24-SE Strukturierte Ergänzung | Vorlesung 1 | Student information | |
| Vorlesung 2 | Student information | ||
| 24-ST Stochastik | Stochastik | Graded examination
|
Student information |
| 24-SW-Sto Stochastik | Stochastik | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Mathematik / Diplom | (Enrollment until SoSe 2008) | Wahlpflicht | 3. 4. | GS | |||
| Mathematik (Gym/Ge als zweites U-Fach) / Master of Education | (Enrollment until SoSe 2014) | M.M.06E | Pflicht | 1. | 9 | unbenotet Voraussetzung: M.M.01 | |
| Mathematik (Gym/Ge fortgesetzt) / Master of Education | (Enrollment until SoSe 2014) | M.M.08 | Wahlpflicht | 1. | 7 | benotet | |
| Statistische Wissenschaften / Master | (Enrollment until SoSe 2014) | SW1; SW2 | 1. 2. | 7 | |||
| Studieren ab 50 |
- Registered number: 203
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
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- WS2014_240043@ekvv.uni-bielefeld.de
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- Last update basic details/teaching staff:
- Friday, December 11, 2015
- Last update times:
- Thursday, October 22, 2015
- Last update rooms:
- Wednesday, October 22, 2014
- Type(s) / SWS (hours per week per semester)
- lecture (V) / 4
- Department
- Faculty of Mathematics
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