Machine Learning (S2-PRK-ML)(in Polish: Machine Learning, stacjonarne, drugiego stopnia) | |
second cycle programme full-time, 2-year studies Language: English | Jump to: Opis ogólny
No description for the programme.
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ECTS Coordinators:
Qualification awarded:
Access to further studies:
Learning outcomes
The graduate has achieved the learning outcomes defined for the second-cycle degree programme in Machine Learning in Annex to Resolution No. 38 of the Senate of the University of Warsaw of 17 March 2021 on Machine Learning programme (UW Monitor 2021, No. 75).
On completing this curriculum the student:
• is ready to realize social obligations, inspire and organize activities for the benefit of social environment;
• has based in theory and well organized knowledge of fundamental techniques of machine learning and methodology of constructions and research in this field;
• knows high-performance data processing techniques used in machine learning;
• has based in theory and well organized knowledge of problems of robot control, in particular of motion kinematics, movement planning and orientation in space;
• has based in theory and well organized knowledge of problems of image classification and object detection;
• knows methodologies, topics, techniques and tools in natural language processing;
• has in-depth understanding of the branches of mathematics necessary to study machine learning (probability theory, statistics, multivariable calculus, and linear algebra);
• is able to implement own algorithms and use existing libraries with reinforcement learning procedures;
• is able to process big data sets;
• is able to apply methods developed to study structures used in machine learning as well as to use them in the analysis of domain data.