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, PhD 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 tentative dates for the school in 2018 are mid of July. 

 

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.

 

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.

 

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