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Simulation & Data Sciences Seminar


Data science is the profession of the future. During this course we focus on the advanced applications used to understand complex systems in broad areas including natural and physical sciences, social sciences, life sciences and management of Big Data. The students will have the opportunity to understand how to develop and apply high performance methods used to solve complex problems related to time series analysis, and modeling of real-life phenomena. A large part of the course is dedicated to data science and how to use data storage and data analysis in a smart way. Participants will learn various process discovery algorithms and the key analysis techniques in traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining. A basic understanding of programming and statistics (undergraduate level) is assumed.



Byshkin M.

Course director

Additional information

Academic year
Master of Science in Artificial Intelligence, Elective course, Lecture, 1st and 2nd year

Master of Science in Computational Science, Elective course, Lecture, 1st year

PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st, 2nd and 3rd year