240043 Stochastik (V) (WiSe 2016/2017)

Contents, comment

Stochastische Modelle dienen der Beschreibung und Untersuchung
zufallsabhängiger Vorgänge, die in vielen Anwendungsbereichen,
u.a. in den Naturwissenschaften und Wirtschaftswissenschaften,
eine wichtige Rolle spielen.

Die Vorlesung "Stochastik" bietet eine Einführung in das Gebiet
der Wahrscheinlichkeitstheorie und Statistik.

Es sollen u.a. die folgenden Themen behandelt werden:
- mathematische Beschreibung zufallsabhängiger Vorgänge
- Wahrscheinlichkeitsräume
- bedingte Wahrscheinlichkeiten
- Unabhängigkeit
- Zufallsgrößen
- Erwartungswert und Varianz
- Gesetz der großen Zahlen
- Zentraler Grenzwertsatz
- Schätztheorie
- Testtheorie

Requirements for participation, required level

Grundkenntnisse in Analysis, insbesondere unendliche Reihen,
Differenzialrechnung, Integralrechnung

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

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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-B-ST_ver1 Stochastik Stochastik 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-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 (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    
No more requirements
E-Learning Space
E-Learning Space
Registered number: 257
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.
Address:
WS2016_240043@ekvv.uni-bielefeld.de
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If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_78825081@ekvv.uni-bielefeld.de
Coverage:
73 Students to be reached directly via email
Notes:
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Last update basic details/teaching staff:
Monday, June 6, 2016 
Last update times:
Thursday, April 6, 2017 
Last update rooms:
Wednesday, April 5, 2017 
Type(s) / SWS (hours per week per semester)
lecture (V) / 4
Department
Faculty of Mathematics
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78825081