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In the DataLab, we study all the steps that lead to a better understanding and gaining knowledge from data, i.e. from data collection from different systems to data pre-processing and analysis, modelling and visualization to application of machine learning and artificial intelligence. The main research topics include data mining algorithms and machine learning (e.g., segmentation, classification, prediction, suggestion and detection of anomalies) and the possibilities of their scaling and efficient design.

In addition to basic research, we also support applied research, in which we connect DataLab members with industry partners in different fields. We offer a wide range of interesting topics that need to be explored, either in research projects or course projects and theses. We also take part in international competitions and hackathons in the field of machine learning. The lab’s activities are closely linked to the research group Computational Intelligence and Machine Learning (ML-CIG).

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The lab’s activities are focused on these topics

Instruction

We are responsible for teaching in the bachelor Artificial Intelligence specialization and master Knowledge Engineering specialization (both taught only in Czech) under the Department of Applied Mathematics. In addition to teaching, we also offer consultations, supervise course projects and theses and organize mock defences in the ML-CIG research group.

Courses taught

Contact person

Ing. Magda Friedjungová, Ph.D.

Where to find us

Data Science Laboratory
Department of Applied Mathematics
Faculty of Information Technology
Czech Technical University in Prague

Room TH:A-1347 (Building A, 13th floor)
Thákurova 7
Prague 6 – Dejvice
160 00

The person responsible for the content of this page: doc. Ing. Štěpán Starosta, Ph.D.