ES3002 Data Analysis in Earth Sciences

Academic year

2024 to 2025 Semester 1

Key module information

SCOTCAT credits

15

The Scottish Credit Accumulation and Transfer (SCOTCAT) system allows credits gained in Scotland to be transferred between institutions. The number of credits associated with a module gives an indication of the amount of learning effort required by the learner. European Credit Transfer System (ECTS) credits are half the value of SCOTCAT credits.

SCQF level

SCQF level 9

The Scottish Credit and Qualifications Framework (SCQF) provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.

Planned timetable

To be confirmed

This information is given as indicative. Timetable may change at short notice depending on room availability.

Module coordinator

Prof R J S Wilson

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module Staff

Prof R Wilson, Dr M Byrne

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

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

The number of compulsory student:staff contact hours over the period of the module.

Guided independent study hours

100

The number of hours that students are expected to invest in independent study over the period of the module.