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Geographical Information Systems|Interdisciplinary Studies|Remote Sensing|Transferable Skills

QUANTITATIVE METHODS|STATISTICS|GIS|SCENARIO EXERCISE|RISK|DISASTER RISK REDUCTION|DISASTER|U

This module aims to equip students with tools for analysing quantitative and geospatial data relating to risk and disaster reduction, humanitarian crisis and...

Data Analysis and Interpretation (IRDR0004)

This module aims to equip students with tools for analysing quantitative and geospatial data relating to risk and disaster reduction, humanitarian crisis and public health emergencies.

As a student in this module, you will learn basic statistical methods for survey design and quantitative data analysis. In addition, you will gain hands-on programming experience to equip you with the tools to conduct independent research in risk and disaster science. This activity will include analysing data using an example programming language.

Additional geospatial skills will be gained through an introduction to Geographical Information Systems (GIS) and Remote Sensing (RS) techniques. We will use industry-standard software to analyse geospatial data with an aspiration of strengthening scientific and practical knowledge.

Through lectures, class discussions, interactive demonstrations and computer lab exercises featuring examples relating to disaster risk reduction and humanitarian crisis, you will learn:

Planning and designing data collection
Introduction to statistics
	Statistical distributions
	Samples and populations
Quantitative data analysis
Probabilities
	Hypothesis testing (parametric and non-parametric)
	Linear regression (single and multi-variable)
Introduction to computer programming
Pseudo code
	Programming for practical data analysis
Geospatial data analysis
Geographical Information Systems (GIS) and Remote Sensing
	Handling vector and raster data
	Real-world examples using a case study
Transferrable skills
Technical report writing capabilities
Teamwork and leadership development competencies.