III Lviv Data Science Summer School 2018

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III Lviv Data Science Summer School 2018
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. final_picture

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

Participants’ projects

Contacts

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