2018 edition


IT Summer School – 2018 edition


Summer School on Data Science – 2018
27th of August – 7th of September, Wroclaw, Poland
Class schedule


Machine learning

  • introduction to Machine Learning
  • supervised vs unsupervised learning
  • the most popular frameworks for machine learning
  • machine learning for real-time and off-line processing
  • the most popular applications for machine learning
  • examples of machine learning for biology, medicine and industry

Data analysis

  • introduction to Python
  • data wrangling
  • web scraping
  • data visualization

Big data

  • introduction to big data
  • MapReduce
  • Hadoop
  • MongoDB
  • Microsoft Azure
  • Apache Spark with Python

Data mining

  • introduction to Data Mining
  • handling and cleaning data
  • multivariate statistics and decision trees
  • cluster analysis

Academic Board

  • Prof. Bogdan Franczyk, Wrocław Univeristy of Economics
  • Prof. Leszek Maciaszek, Wrocław Univeristy of Economics
  • Prof. Dr. Karol Kozak, Dresden University

Instructors/teachers

  • Dr. Ryszard Zygała, Wrocław University of Economics
  • Dr. Maciej Pondel, Wrocław Univeristy of Economics
  • Prof. Dr. Karol Kozak, Dresden University
  • Filip Wójcik, Wrocław University of Economics
  • Michał Górnik, Wrocław University of Economics
  • Jędrzej Jaskólski, Wrocław University of Economics
  • Dr. Eric Peukert, Big Data Competence Centre SCADS
  • Norman Spangenberg, Institut für Wirtschaftsinformatik, Uni Leipzig

Organizing Team

  • Dr. Ryszard Zygala
    Summer School Coordinator