The syllabus of the module. The module consists of 6 ECTS: total 160 hours, of which 16 hours of lectures, 16 hours of laboratory work, 16 hours of seminars, 112 hours of individual work.
In this module students will learn to apply the newest methods of urban data analytics and predictions as well as software programs, Artificial Intelligence and Machine Learning algorithms for smart cities and urban planning.
Apply the acquired theoretical knowledge in different software packages
Independently form a hypothesis and test it by applying the learned methods and analysing freely available data
Apply Geographic Information System methods in practice, adapting data sets with geographic information for data analysis, and visualising data and modelling results
Practically use non-parametric statistical methods to determine the properties of distributions
Apply correlation analysis and transform data variables to improve it
Apply linear regression method and evaluate modelling results
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The syllabus of the module. The module consists of 6 ECTS: total 160 hours, of which 16 hours of lectures, 16 hours of laboratory work, 16 hours of seminars, 112 hours of individual work.
The syllabus of the module. The module consists of 6 ECTS: total 160 hours, of which 16 hours of lectures, 16 hours of laboratory work, 16 hours of seminars, 112 hours of individual work.