Module Handbook

  • Dynamischer Default-Fachbereich geändert auf MAT

Course MAT-14-14L-K-3

Stochastic Methods (für Students of Teacher Training Programmes) (4V+2U, 8.0 LP)

Course Type

SWS Type Course Form CP (Effort) Presence-Time / Self-Study
- K Lecture with exercise classes (V/U) 8.0 CP 156 h
4 V Lecture 56 h
2 U Exercise class (in small groups) 28 h
(4V+2U) 8.0 CP 84 h 156 h


CP, Effort 8.0 CP = 240 h
Position of the semester 1 Sem. in WiSe
Level [3] Bachelor (Core)
Language [DE] German
+ further Lecturers of the department Mathematics
Area of study [MAT-GRU] Mathematics (B.Sc. year 1 and 2)
Livecycle-State [NORM] Active


The lecture is identical to the lecture in the course [MAT-14-14-K-3] Stochastic Methods. For students of the teacher training programme a dedicated exercise programme is offered, which includes theoretical and practical tasks.

Possible Study achievement

  • Verification of study performance: proof of successful participation in the exercise classes (ungraded)
  • Examination number (Study achievement): 80511 ("Exercise: Stochastic Methods")
  • Details of the examination (type, duration, criteria) will be announced at the beginning of the course.


Fundamentals of probability theory:
  • basic concepts of probability theory (probability space, random variable, distribution),
  • distribution of real-valued random variables (binomial, Poisson, exponential and normal distribution, etc.),
  • expected value, variance, covariance,
  • distribution of random vectors, multivariate normal distribution as an example,
  • conditional probability, independence,
  • law of large numbers,
  • central limit theorem.

Fundamentals of statistics:

  • parameter estimator,
  • interval estimator,
  • tests.

Outlook on the following areas:

  • Monte Carlo simulation,
  • linear regression,
  • big data and machine learning,
  • Markov chains.


  • D. Williams: Weighing the Odds - A Course in Probability and Statistics,
  • H.O. Georgii: Stochastik - Einführung in die Wahrscheinlichkeitstheorie und Statistik,
  • U. Krengel: Einführung in die Wahrscheinlichkeitstheorie und Statistik,
  • K.L. Chung: Elementare Wahrscheinlichkeitsrechnung und stochastische Prozesse.


Further literature will be announced in the lecture(s); exercise material is provided.


Registration for the exercise classes via the online administration system URM (

References to Course [MAT-14-14L-K-3]

Module Name Context
[MAT-14-14L-M-3] Mathematics as Solution Potential B: Introduction to Stochastics (Gym, RS) P: Obligatory 4V+2U, 8.0 LP