ES3002 Data Analysis in Earth Sciences
Academic year
2024 to 2025 Semester 1
Curricular information may be subject to change
Further information on which modules are specific to your programme.
Key module information
SCOTCAT credits
15
SCQF level
SCQF level 9
Planned timetable
To be confirmed
Module coordinator
Prof R J S Wilson
Module Staff
Prof R Wilson, Dr M Byrne
Module description
This module covers the principles behind, and practical application of data handling, visualisation and analysis in Earth Sciences. Statistical training includes (i) understanding data types, (ii) data presentation and basic descriptive statistics, (iii) probability, (iv) hypothesis testing using parametric and non-parametric statistics, (v) correlation and regression, and (vi) introduction to numerical methods and modelling. Skills taught here reinforce Earth Sciences honours teaching, particularly the independent research dissertation module.
Relationship to other modules
Pre-requisites
BEFORE TAKING THIS MODULE YOU MUST PASS ES2001 AND PASS ES2002 OR PASS ES2003
Assessment pattern
Coursework = 100%
Re-assessment
Oral Examination = 100%
Learning and teaching methods and delivery
Weekly contact
1 x 2 hour lecture and 1 x 3 hour Practical
Scheduled learning hours
50
Guided independent study hours
100