Courses Bachelor Display 2022-2023
|Course Description||To PDF|
|Course title||Data and Analytics for Good|
For more information: email@example.com
|Language of instruction||English|
Students will learn:
* How to conceptualise and measure key concepts such as resilience and social justice for different areas of application
* How to collect data from different (public) data sources
* How to analyse spatial data in GIS
* How to visualise and interpret the data
PLEASE NOTE THAT THE INFORMATION ABOUT THE TEACHING AND ASSESSMENT METHOD(S) USED IN THIS COURSE IS WITH RESERVATION. A RE-EMERGENCE OF THE CORONAVIRUS AND NEW COUNTERMEASURES BY THE DUTCH GOVERNMENT MIGHT FORCE COORDINATORS TO CHANGE THE TEACHING AND ASSESSMENT METHODS USED. THE MOST UP-TO-DATE INFORMATION ABOUT THE TEACHING/ASSESSMENT METHOD(S) WILL BE AVAILABLE IN THE COURSE SYLLABUS.
The Sustainable Development Goals have rapidly risen to the forefront of the political and business agenda. Concepts and ideas such as increasing resilience, adaptation to a changing climate, or decreasing inequality are key to achieving the SDGs. To address these complex challenges, decision-makers from industry and public policy alike increasingly rely on data and analytics. Especially Spatial information that allows you to display socio-economic, infrastructure or environmental data on a map has become an increasingly important analysis tool, and important decision-making instrument. This course is designed to combine knowledge on the underlying concepts for social good, such as resilience or social justice with the techniques and tools you will need to analyze and visualize spatial data and develop powerful stories to ensure that data is – indeed – for good.
|Teaching methods (indicative; course manual is definitive)|
|Assessment methods (indicative; course manual is definitive)|
|Evaluation in previous academic year||For the complete evaluation of this course please click "here"|
|This course belongs to the following programmes / specialisations||