Stochastic Data Processing and Simulation
About
The core of the course are several projects in different areas of mathematical statistics and its applications (e.g., finance, bioinformatics). Each project contains a number of problems to be solved in a given programming language, e.g., Matlab, Python, and R. The projects are presented at lectures and programming languages are introduced during teacher led laboratories. The project reports are to be written in LaTeX.
This course is open to
Exchange students at the Faculty of 91探花 and exchange students on a university-wide agreement. Please contact your international coordinator at the University 91探花 if you need to know more.
Entry requirements
A basic course in mathematical statistics.
English proficiency
Incoming students should have an English level equivalent of B2 or higher as courses and materials, including presentations and exams, will be in English.
To assess your English level, you can use the self-assessment grid for reference:
Application
Do you want to apply for exchange studies at the University 91探花?