Mathematics and Computer Science

Winter Semester

Brief description

For whom

Prerequisites

STAG information system: KMA/XMAT

Brief description
This course will take you through various application of Fourier analysis. We will cover some history, classical Fourier series and their applications, Fourier transforms and their application in differential equations and image processing.

For whom
Both undergraduate and graduate students of mathematics, engineering, and science are welcome.

Prerequisites
It is good to know multivariate calculus. Some programming is always helpful but not required.

STAG information system: KMA/SC

Brief description
The seminar aims to read and discuss scientific papers on emerging topics in data science that are not covered in standard courses.

For whom
Students in bachelor's degree programmes (ideally in their third year) and master's degree programmes.

Prerequisites
Fundamentals of calculus and statistics.

STAG information system: KMA/SR1

Brief description

For whom

Prerequisites

STAG information system: KMI/KRY

Brief description

For whom

Prerequisites

STAG information system: KMI/FUZ

Brief description

For whom

Prerequisites

STAG information system: KMI/TINF


Summer Semester

Brief description

For whom

Prerequisites

STAG information system: KAG/ALG4

Brief description

For whom

Prerequisites

STAG information system: KMA/APROB

Brief description
In a broader sense, compositional data are considered positive multivariate or functional data that carry relative information, such as proportions, percentages, probabilities, concentrations, and density functions. The aim of the course is to introduce methods and approaches for analysing compositional/density data, illustrated with empirical data.

For whom
Master's degree students.

Prerequisites
Fundamentals of linear algebra, calculus and statistics, and basic notions of multivariate statistics.

STAG information system: KMA/CS

Brief description
The seminar aims to read and discuss scientific papers on emerging topics in data science that are not covered in standard courses.

For whom
Students in bachelor's degree programmes (ideally in their third year) and master's degree programmes.

Prerequisites
Fundamentals of calculus and statistics.

STAG information system: KMA/SR2

Brief description

For whom

Prerequisites

STAG information system: KMI/KOM

Brief description

For whom

Prerequisites

STAG information system: KMI/FKA

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