July 19 – 27, 2025
Predeal, Romania
Organized by Bucharest University of Economic Studies, in collaboration with the GATE Institute at Sofia University “St. Kliment Ohridski” and the projects enRichMyData, DataPACT, Graph-Massivizer, UPCAST, INTEND, and TwinShip.
with the support of
Goal
The goal of the summer school is to familiarize students with relevant state of the art topics in data science and artificial intelligence (AI). The program will cover fundamentals of data science and AI and focus on the following key topics:
- Statistics and Machine Learning
- Large Language Models, conversational AI, and Agentic AI
- Time series and graph data, data processing
- Data and AI pipelines
- Data sharing
The program will consist of a combination of lecture-style talks introducing various Data Science and AI paradigms and methods, and hands-on sessions. The summer school aims to have a practical orientation, with Python and Jupyter Notebooks being used to exemplify many of the topics covered at the summer school. Students will work on group (mini-)projects/exercises during the summer school.
At the end of the summer school, the students are expected to understand key paradigms used in Data Science and AI and be able to practically apply them in data science and AI projects.
Prerequisites
Familiarity with computer programming and basic knowledge about Python, interest in working with data, enthusiasm, and willingness to learn new things!
Basic knowledge of linear algebra, probability theory, and knowledge representation would be useful, though not strictly necessary.
