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:

  • Data analytics and statistics
  • Machine learning and deep learning
  • Large Language Models and Conversational AI
  • Causal AI
  • Time series and graph data
  • Data sharing
  • Data and AI pipelines (data enrichment pipelines, machine learning pipelines)

The program will consist of a combination of lecture-style talks introducing various data science paradigms and methods, and demo/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.

At the end of the summer school, the students are expected to have understanding of key paradigms used in data science and AI and be able to practically apply them in data science and AI projects.

This intensive learning experience with lots of networking is organized in collaboration with  enRichMydata, DataCloud, Graph-Massivizer, UPCAST, and InterTwino projects and is managed by the Bucharest Business School (BBS @ ASE) and supported by ASE International Relations .

Among the speakers are renown researchers from prestigious universities in USA, the Netherlands, Austria, Norway, and UK.

The 2024 edition is powered by OMV Petrom!

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