Information on individual educational components (ECTS-Course descriptions) per semester

Degree programme: Bachelor Mechatronics Part-time
Type of degree: FH Bachelor´s Degree Programme
Part-time
Winter Semester 2021

Course unit title Statistics
Course unit code 024525251306
Language of instruction Deutsch
Type of course unit (compulsory, optional) Compulsory
Semester when the course unit is delivered Winter Semester 2021
Teaching hours per week 2
Year of study 2021
Number of ECTS credits allocated First Cycle (Bachelor)
Number of ECTS credits allocated 2
Name of lecturer(s) Thomas STEINBERGER


Prerequisites and co-requisites

Mathematics High School level


Course content

Three Main Topics:

  • Probability Theory: Definition of Probability, random variables (Mean, Variance, PDF and CDF, Independent Random Variables), Important Examples of Distributions, Law of Large Numbers, Central Limit theorem, Combinatorics; Random Vectors; Correlation
  • Descriptive Statistics: Scaling Properties, Parameters of Location and Dispersion, Bi- and Multivariate Statistics (Correlation- and Regression Analysis)
  • Inductive statistics: Distribution of Random Samples, Estimation of uncertainty, Hypothesis Testing.

Learning outcomes

The students develop fundamental understanding and knowledge of the subsections of probability theory and statistics specified in "Course Content". Based on these fundamentals they are able to acquire and understand more special topics of probability theory and statistics.


Planned learning activities and teaching methods

Lectures and exercises


Assessment methods and criteria

Written Exam


Comment

None


Recommended or required reading
  • Papula, Lothar (2016): Mathematik für Ingenieure und Naturwissenschaftler Band 3. 7. Auflage. Springer Vieweg
  • Kreyszig, Erwin (2011): Advanced Engineering Mathematics. 10 edition. Hoboken, NJ: Wiley

Mode of delivery (face-to-face, distance learning)

Face-to-face