The course is included in these curricula and study modules


General studies

Teaching language


Type of course


Cycle/level of course


Recommended year of study


Total number of ECTS

5 cr

Competency aims

This course provides a basic introduction to statistics and probability covering sampling and simple statistical measures. The aim is to acquire and apply skills relating to the interpretation and presentation of data and to introduce the concept of probability and statistical inference.

Learning outcomes

On successful completion of this course, students should be able to: -Formulate problems in statistical terms. -Select and apply an appropriate model. -Interpret and communicate results.

Course contents

- Statistics: Basic concepts - Measures of the center of a set of observations - Measures of Dispersion - Probability: Sample Space and Events - Definition and properties of Probability - Combinatorics - Conditional Probability/ Independent events - Bayes Theorem - Random Variables - Distribution Functions - Discrete and Continuous Random Variables - Mathematical Expectation - Binomial Random Point Function - Poisson Function - Exponential Probability function - Normal Probability function - Regression

Prerequisites and co-requisites

Algebra & Trigonometry Calculus

Study activities

  • Lectures - 80 hours
  • Individual- and group instruction - 48 hours
  • - 4 hours


  • Total workload of the course: 132 hours
  • Of which autonomous studies: 132 hours
  • Of which scheduled studies: 0 hours

Mode of Delivery

Participation in tuition

Assessment methods

Exams (written-, oral-, home-)


Herrman Rene


Herrmann Rene

Home page of the course

Group size

No limit

Assignments valid until

12 months after course has ended

Assessment methods

Date of examination will be announced later - Exams

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