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.
micro-module
Urban Data Analytics
Urban Data Analytics
Finished
Description
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.
The Team
MI
Marius Ivaškevičius
Teacher
6 learners
- Topics
- Study format
- Online
- Application period
- 1 July – 24 August 2023
- Study period
- 4 September 2023 – 12 January 2024
- Credits
- 6 ECTS
- Pace
- 25%
- Hosting university
- Kaunas University of Technology
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Learning outcomes
Learning Outcome 5
Apply the acquired theoretical knowledge in different software packages
ESCO SKILLS
Learning Outcome 6
Independently form a hypothesis and test it by applying the learned methods and analysing freely available data
ESCO SKILLS
Learning Outcome 1
Apply Geographic Information System methods in practice, adapting data sets with geographic information for data analysis, and visualising data and modelling results
ESCO SKILLS
Learning Outcome 2
Practically use non-parametric statistical methods to determine the properties of distributions
ESCO SKILLS
Learning Outcome 3
Apply correlation analysis and transform data variables to improve it
ESCO SKILLS
Learning Outcome 4
Apply linear regression method and evaluate modelling results
ESCO SKILLS
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Information
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.
Hosting university
Kaunas University of Technology
