LFU:online

Prerequisites for registration: Positive completion of compulsory modules 4 and 8.

Learning Outcome: Students are able to apply autonomously basic concepts of statistics and of a programming language on meteorological data.

Prerequisites for registration: none

Learning Outcome: Students of this module have acquired the ability to use selected mathematical software and to implement simple mathematic algorithms into selected software language. They have learned how to transfer criteria into mathematical content and formal design in a text. Furthermore, they know the occupational profile of mathematicians and have gained an overview of the topic of equality and gender as well as of their study programme.

Prerequisites for registration: none

Learning Outcome: Students of this module understand the content of the lectures and they can reproduce and apply it. They have acquired the ability to work out similar content on their own. They can apply simple methods of statistics, especially with suitable software. Furthermore, they have acquired a basic understanding of the methods of Statistics.

Prerequisites for registration: none

Learning Outcome: Students completing this module can deal methodologically correctly with an area of mathematics and present the results in both written and oral forms that are easy to understand.

Prerequisites for registration: none

Learning Outcome: Students of this module have been given insights into topic areas that are covered by the content of modules 1-22.

Prerequisites for registration: none

Learning Outcome: Students who have completed that module have, based on module 5, acquired deepened knowledge of one or more branches of higher mathematics. They have got to know further current problems and methods for their solution. They are able to develop innovative solutions for problems of those branches of mathematics.

Prerequisites for registration: none

Learning Outcome: Students are able to actively reflect on the current state of knowledge in
the area of the dissertation and related science disciplines. They possess
didactic skills which enable them to clearly present their research results in an interdisciplinary context and explain complicated correlations in a
clearly understandable manner.

Prerequisites for registration: none

Learning Outcome: Students are able to actively reflect on the current state of knowledge in
the area of the dissertation and related science disciplines. They possess
didactic skills which enable them to clearly present their research results in an interdisciplinary context and explain complicated correlations in a
clearly understandable manner.

Prerequisites for registration: none

Learning Outcome: Students are able to actively reflect on the current state of knowledge in
the area of the dissertation and related science disciplines. They possess
didactic skills which enable them to clearly present their research results in an interdisciplinary context and explain complicated correlations in a
clearly understandable manner.

Prerequisites for registration: none

Learning Outcome: Mastery of the basics of Mathematics, Geometry and Informatics for study programme in Engineering (Linear Algebra, Differential and Integral Equalities, Probability Theory and Statistics, illustration methods and their use in representing objects, software languages, mathematical software); these competences are needed for the studies on the one hand but on the other they are required for increasing numbers in professional practice.