t.BA.WI.WAST2.10HS (Probability and Statistics 2) 
Module: Probability and Statistics 2
This information was generated on: 26 April 2024
No.
t.BA.WI.WAST2.10HS
Title
Probability and Statistics 2
Organised by
T IDP
Credits
4

Description

Version: 6.0 start 01 February 2019
 

Short description

The Probability and Statistics 2 module introduces students to the basics of probability theory. In this module, students learn to describe random events and their properties with probability models and to quantify them with the statistical software R.

Module coordinator

Hofer Christoph (hofc)

Learning objectives (competencies)
Objectives Competences Taxonomy levels
Students develop an understanding to quantify the uncertainty of  events by probability. F, M K1, K2
Students are able to calculate probabilities, expected values and variances of random events of special discrete and continuous distributions. F, M K2, K3
Students are able to determine the probability distribution of complex random events approximatively with simulation experiments. F, M K3, K4
Students are able to identify random components of everyday processes and formulate them with adequate probability models. F, M K3, K4, K5
Students understand the law of large numbers and the central limit theorem. F, M K1, K2

Module contents

 Students learn to describe random events by probability, to model quantitatively the results of random experiments with random variables, and to determine and interpret their properties such as expected value and variance.
 
The lessons are divided into the following blocks:
  • Random experiment and concept of probability
  • Basics of combinatorics
  • Conditional probability
  • Independence from events
  • Random variables
  • Probability function and density
  • Distribution function
  • Moments
  • Special discrete and continuous univariate probability models
  • Bivariate Normal distribution
  • Law of large numbers
  • Central limit theorem
 
In the lab students learn to implement concepts conveyed in the lecture based on concrete exercises with the statistical software R. In addition, simulation experiments are used to  approximate the probability of random events or parameters as well as to illustrate selected concepts of probability theory.

Teaching materials

lecture notes, presentation documents, exercises

Supplementary literature

Fahrmeir, L., Künstler, R., Pigeot, I., Tutz, G. (1997). Statistik. Der Weg zur Datenanalyse, Springer.

Prerequisites

  

Teaching language

 (X) German ( ) English

Part of International Profile

 ( ) Yes (X) No

Module structure

 Type 2a
  For more details please click on this link: T_CL_Modulauspraegungen_SM2025

Exams
Description Type Form Scope Grade Weighting
Graded assignments during teaching semester see module description        
End-of-semester exam exam written see module description mark see module description

Remarks

  

Legal basis

 The module description is part of the legal basis in addition to the general academic regulations. It is binding. During the first week of the semester a written and communicated supplement can specify the module description in more detail.

Note

Course: Wahrscheinlichkeit und Statistik 2 - Vorlesung
No.
t.BA.WI.WAST2.10HS.V
Title
Wahrscheinlichkeit und Statistik 2 - Vorlesung

Note

  • No module description is available in the system for the cut-off date of 01 August 2099.