Lviv-Prague Data Science Summer School

About Summer School

Lviv-Prague Data Science Summer School is an educational initiative of the Faculty of Applied Sciences, Ukrainian Catholic University, and the Faculty of Information of Czech Technical University in Prague. The Summer School participants – undergraduates, Ph.D. students, and young professionals – study state-of-the-art methods and tools of Data Science and Machine Learning. The school is oriented towards the intermediate level of participants’ knowledge.

The dates of the school in 2022 are July 18th – 30th.

Important information: Due to the organization obstacles, the summer school is canceled this year.

Study program

The goal of the Summer School is to give practice-oriented knowledge in the field of Data Science.

The students are involved in several elective practice-oriented courses in the domains of Computer Vision, Natural Language Processing, Healthcare, Social Network Analysis, Urban Data Science, etc. The course study dates are July 18 – 23.

The students join the project work. The project topics are provided by the supervisors: school lecturers, representatives of IT companies, and other partner organizations. The project work during several days (July 25 –30) means implementation and approbation of the previously obtained knowledge and skills. The project teams present their results publicly at the end of the School.

The participants can gain 4 ECTS credits after the School completion.


Important facts

  • School dates: July 18-30, 2022
  • English level B1 or higher.
  • Programming: The knowledge of Python’s basic syntax and main mathematical library usage (e.g., Numpy). R language skills are obligatory.
  • Basics of Statistical Inference.
  • Basics of Machine Learning.


The scientists from well-known universities and the leading specialists of the Ukrainian and world’s companies teach at the Summer School.

Sanyam Bhutani

Deep Learning Engineer at Weights & Biases

Denys Rozumnyi,

ETH Zurich, Ph.D. Student

Dr. Marharyta Aleksandrova

 The University of Luxembourg, Postdoc

Dr. Kamil Dedecius,

Czech Technical University in Prague

Jan Šedivý,

Czech Republic

Dr. Anna Aljanaki,

University of Tartu

Alexandr Honchar,

ML Director and Partner at Neurons Lab

Dr. Richard Bobek

 Czech Republic

Dr. Oleksandr Gurbych

Software Solution Architect in 

Dr. Alexander Kovalenko,

Czech Technical University in Prague

Miroslav Čepek,

Assistant Professor, Faculty of Information Technology,

Czech Technical University

Dr. Dmytro Mishkin,

HOVER/CTU in Prague

Liubomyr Bregman,

Amazon EU, Data Science Lead

Mykyta Rohovyi,

Ph.D. of Computer Science,

Data Science Engineer at Quantum


The faculty of Applied Sciences of UCU forms the leaders in the field, who will use their knowledge to influence the present and the future of Ukraine and the world. Faculty programs are intended for motivated students aimed at creative independent work about their professional improvements




Pure informatics without the fluff, a friendly atmosphere, and a combination of theoretical instruction balanced with practice, openness, and high flexibility – this is what defines FIT CTU in Prague. They are rigorous in instruction, ambitious in research, and open to cooperation. FIT CTU creates an environment where no good idea is ever wasted. They have the latest technology and zeal for science that never tires.




was founded in 2019 by academics from the Czech Technical University, Charles University, and the Czech Academy of Sciences, with a significant contribution provided by the City of Prague. This unprecedented synergy of human and institutional resources is driven by the ambition to make full use of local potential and transform Prague into a European center of artificial intelligence.


Czechitas is a non-governmental social enterprise recognized as the leading IT skills training platform in the Czech Republic, actively focused on greater diversity in IT fields, improved quality of STEM education for young people, and broader access to affordable, high-quality digital skills training for all. Women in the Czech Republic lack access to IT-focused jobs due to economic barriers, cultural biases, and social hurdles. While IT training initiatives exist in the Czech Republic, most options are unaffordable or inaccessible to a large segment of the population, particularly women.


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