Lviv Data Science Summer School is an educational initiative from the Faculty of Applied Sciences of the Ukrainian Catholic University. The Summer School participants – undergraduates, PhD students, young professionals – studied state-of-the-art methods and tools of data science.
The school was held during July 12-25, 2017. There were 55 participants from 8 countries. The academic program was conducted in English. The participants of the Summer School gained 4 ECTS credits.
The goal of the Summer School was to give the practice-oriented knowledge in the field of Data Science. The school’s program incorporated three following stages. During the first stage participants attended introductory courses that made them familiar with the main theme of the school. During the second stage the students were involved in several elective practice-oriented courses.
The third stage was dedicated to working on the projects. The project topics were provided by the school’s lecturers. During several days of the project work students implemented and approbated the previously obtained knowledge and skills. The project teams presented their results publicly at the end of the school.
- General courses
- Applied courses
- Deep Learning for Computer Vision
- Deep Learning for Computer Vision 2. Go deeper
- Machine Learning in Healthcare
- Framework for Problem Solving in Natural Language Processing
- Sentiment analysis. End to end approach
- Social Network Analysis
- Introduction to Urban Data Science
- Mining Georeferenced Data
- Optimizing Internet with Data Science
- Advanced analytics meets customers. Practical examples from Telco, Banking, Retail
- Recommender Systems
The scientists from well-known universities and the leading specialists of the Ukrainian and world’s companies taught at the summer school.
Lviv Data Science Summer School is supported by the partner companies. We are very grateful to these companies for their contribution.
Ring Labs is an R&D center in Kiev, working with software development in machine learning, computer vision, intellectual data analysis and other artificial intelligence fields. R&D center in Kiev is always welcoming talented developers. Let’s do great things together!
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- Optimizing ambulance service with AI instruments
- Predicting the e-commerce churn
- Transfer Learning – from English to German, from Russian to Ukrainian
- ODS Slack exploration
- Public transport geodata analysis
- Geotag Coverage & Mutual Attention
- Analyzing Ukrainian Parliament Network
- Audiences analysis of political public pages in Facebook
- Alzheimer’s disease prediction. Team 1
- Alzheimer’s disease prediction. Team 2
- Video Activity Recognition