This module will teach the essentials of GPS, GIS and Remote Sensing. The main aim is to enable the student to be proficient in the creation of digital maps by the familiarisation of basic GIS techniques. Simple spatial analysis is considered towards the end of the module to educate students to the potential analyses suitable for research projects. This module will also teach the essentials of statistical data analysis. The main aim of this part of the module is to enable the student to be proficient in the statistical analysis of research data sets. The module will include fundamental knowledge and understanding of the analysis of data sets through the application of descriptive statistics (measures of central tendency, variability and skewness), inferential statistics (Student's t test, analysis of variance, Chi-Square test, correlation and regression).
Learning Outcomes
By the end of the module students should be able to:
Explain the basic principles and theory of GPS, GIS and Remote Sensing.
Identify where and how to access spatial data sources.
Use QGIS package to create maps and perform simple spatial analyses.
Demonstrate an understanding of the theory underpinning selected statistical methods and tests.
Apply appropriate statistical analysis to suitable data sets and correctly interpret the results of statistical analysis.
Assessment
41391-01 : GIS Group Project : Group Assessment - Coursework (50%)
41391-02 : MCQ Test (Data Science) : Class Test (30%)
41391-03 : Individual Report (Data Science) : Coursework (20%)
Assessment Methods & Exceptions
Assessment:
50% tutorial group short research project; 30% in class statistical quiz; 20% individual data report
