BERLIN, 31 January 2019: Lecture “Some aspects of modelling with stochastic processes” by Dr. Tania Kosenkova

We cordially invite you to our next lecture within our “Science first hand” lecture series:

Title: “Some aspects of modelling with stochastic processes/ Деякі аспекти моделювання за допомогою випадкових процесів” (Lecture will be given in Ukrainian)

Speaker: Dr. Tetiana Kosenkova, University of Potsdam

When: Thursday, 31 January 2019, 18:00 – 19:30 (entry from 17:30 onwards)

Where: Embassy of Ukraine, Albrechtstraße 26, 10117 Berlin

REGISTER by the 28th of January at: berlin (at) ukrainet (dot) eu. At the registration please provide your name, position and employer/ place of study, city, in accordance with the security regulations of the embassy. Please have a valid photo-identity document to enter the venue.

About the Speaker: Dr. Kosenkova graduated the Mechanics and Mathematics faculty of Taras Shevchenko National University of Kyiv in 2011 (Master’s degree with Honours). She defended her PhD thesis in 2014 on the topic “Markov approximation and limit theorems for Lévy-type processes” under the supervision of Prof. Dr. Oleksii Kulyk (Institute of mathematics, NAS of Ukraine, currently: Wrocław University of Science and Technology, Poland). Currently she works as a research associate at the University of Potsdam.

About the Lecture: Many natural and social phenomena show random behavior: movement of a particle in a medium, crystallization in liquids, dynamics of populations, a regional climate, stock prices, the behavior of big groups of people, economic development, etc. Mathematical modeling of such phenomena is a rather young branch of mathematics that is vividly developing. The main tool in this area is the theory of stochastic processes. Appearing at the end of the 19th century this mathematical concept became widely used because of the possibility to forecast events related to random experiments. In the talk, Dr. Kosenkova will describe the concept and consider examples of stochastic processes. Furthermore, she will discuss in more detail such aspects, as how close these models are to the real world data.

Announcement (in Ukrainian)