About summer school

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

The Summer School 2018 will take place on July 16 – August 2.

 

Study program

The goal of the Summer School is to give the practice-oriented knowledge in the field of Data Science. The school’s program incorporates three following stages. During the first stage, the participants attend introductory courses that would make them familiar with the main theme of the school: Statistical Inference, Machine Learning, Data Visualization.

During the second stage, 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, Recommender Systems, etc.

The third stage is substantially dedicated to working on the projects. The project topics are provided by the supervisors: school’s lecturers, representatives of IT companies, and other partner organizations. The project work during several days 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.

 

Course list

 

Lecturers

The scientists from well-known universities and the leading specialists of the Ukrainian and world’s companies taught at the summer school.

 

Dr. Rostyslav Hryniv

Professor
at Ukrainian Catholic University

Dmytro Fishman

Assistant of Data Science
at University of Tartu, Estonia

Андрій Газін

Andriy Gazin

Data Visualization Specialist, Ukraine

Dr. Anastasios Noulas

A Moore-Sloan Fellow
at New York University Center for Data Science

koval

Igor Koval

PhD student
at Pitié-Salpétrière Hospital, France

Liubomyr Bregman

Liubomyr Bregman

Senior Consultant specialized in Data Analysis
at PwC Prague, Czech Republic

Habet Madoyan

Doctor of Economics, lecturer
at American University of Armenia

manuel_gomez

Dr. Manuel Gomez Rodriguez

Tenure-track faculty
at Max Planck Institute for Software Systems, Germany

barunik

Dr. Jozef Baruník

Associate Professor
at Charles University, Czech Republic

bogodorova

Dr. Tetiana Bogodorova

Research Associate
at Ukrainian Catholic University

shinichi

Dr. Shinichi Shirakawa

Lecturer
at Yokohama National University, Japan

stepaniuk

Oleksa Stepaniuk

Data Analyst
at Kyiv School of Economics, Ukraine

brik

Dr. Tymofii Brik

Assistant Professor
at Kyiv School of Economics, Ukraine

Oleksii Pasichnyi

Oleksii Pasichnyi

Ph.D. candidate
at KTH Royal Institute of Technology, Sweden

havrylov

Serhii Havrylov

Ph.D. student
at University of Edinburgh, United Kingdom

Viktoriia Sharmanska

Dr. Viktoriia Sharmanska

Research Fellow
at Imperial College London, United Kingdom

Novi Quadrianto

Dr. Novi Quadrianto

Senior Lecturer
at University of Sussex, United Kingdom

Adam Blascik

Adam Blascik

Data scientist
at PwC Czech Republic

Juan Pablo Figueroa

Juan Pablo Figueroa

Senior Data Scientist
at N-iX, Ukraine

Julia Proskurnia

Dr. Julia Proskurnia

Software Engineer
at Google, Switzerland

Dr. Maciej Koch-Janusz

Theoretical physicist
at ETH Zurich, Switzerland

Oles Dobosevych

Oles Dobosevych

Deputy Dean
at Ukrainian Catholic University

Mykola Maksymenko

Dr. Mykola Maksymenko

Research Lead
at SoftServe, Ukraine

Yurij Holovatch

Dr. Yurij Holovatch

Head of the Laboratory
at Institute for Condensed Matter Physics

 

Participation fees

The participation fees are presented in the table below. The participation fee doesn’t include accommodation or meals.

CATEGORY fee AMOUNT
Ukrainian students and Ph.D. students 5 500 UAH
Other participants from Ukraine 11 500 UAH
International participants 400 EURO

 

Discounts and scholarships

School organizers provide fee discounts for:

  • students from the Ukrainian universities
  • students from the German universities under the partnership with DAAD

More information can be found on the “Discounts & scholarships” webpage.

 

Prerequisites

Eligible applicants should be familiar with calculus, linear algebra, basics of probability theory, basics of Python programming. Detailed knowledge prerequisites together with the recommendations for the individual preparation can be found on the “Terms of service” web page under the Prerequisites section.

 

Application process

Before applying for the summer school one should become familiar with the terms of service, application rules, fee payment procedure, study schedule, certificate issuance, accommodation resources. Please, follow the “Terms of service” webpage to read more.

Application deadline is May 15.

 

Application is closed!

 

Previous schools

You may take a look at the previous schools  by the link below:

 

Contacts

In case you have any questions, please contact us via