Module Handbook

  • Dynamischer Default-Fachbereich geändert auf MAT

Module MAT-14-14LBBS-M-3

Mathematics as Solution Potential B: Introduction to Stochastics (BBS) (M, 6.0 LP)

Module Identification

Module Number Module Name CP (Effort)
MAT-14-14LBBS-M-3 Mathematics as Solution Potential B: Introduction to Stochastics (BBS) 6.0 CP (180 h)


CP, Effort 6.0 CP = 180 h
Position of the semester 1 Sem. in WiSe
Level [3] Bachelor (Core)
Language [DE] German
Module Manager
Area of study [MAT-EDU] Mathematics (B.Ed./M.Ed.)
Reference course of study [MAT-47.105-SG] B.Ed. LaBBS Mathematics
Livecycle-State [NORM] Active


Type/SWS Course Number Title Choice in
Presence-Time /
SL SL is
required for exa.
PL CP Sem.
4V MAT-14-14-K-3
Stochastic Methods
P 56 h 124 h - - PL1 6.0 WiSe
  • About [MAT-14-14-K-3]: Title: "Stochastic Methods"; Presence-Time: 56 h; Self-Study: 124 h

Examination achievement PL1

  • Form of examination: oral examination (20-30 Min.)
  • Examination Frequency: each semester

Evaluation of grades

The grade of the module examination is also the module grade.


Introduction to Stochastics.

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;
  • Monte Carlo simulation;
  • central limit value theorem.

Fundamental of statistics:

  • parameter estimator;
  • interval estimator;
  • tests.

Competencies / intended learning achievements

The students
  • are familiar with stochastic concepts, the fundamental concepts of probability theory and statistics;
  • can apply stochastic methods to simple practical problems.


  • 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; Exercise material is provided.

References to Module / Module Number [MAT-14-14LBBS-M-3]

Course of Study Section Choice/Obligation
[MAT-47.105-SG] B.Ed. LaBBS Mathematics Compulsory Modules [P] Compulsory