GG3212 Data Analysis for Physical Geography

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

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

Tues 2pm-4pm

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

Module coordinator

Dr I T Lawson

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

Module Staff

Dr Ian Lawson

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 provides training in a suite of data analysis methods used in physical and environmental geography. It builds on material covered in GG3211, aiming to give students additional experience and confidence in quantitative techniques. Teaching is delivered mainly through IT practicals and lectures/seminars.

Relationship to other modules

Pre-requisites

BEFORE TAKING THIS MODULE YOU MUST PASS GG2014

Co-requisites

YOU MUST ALSO TAKE GG3211

Assessment pattern

Coursework = 100%

Re-assessment

Coursework = 100%

Learning and teaching methods and delivery

Weekly contact

Lectures: 1hr (x10 hours), Seminar 1hr (x10 weeks)

Scheduled learning hours

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

Guided independent study hours

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

Intended learning outcomes

Able to organise and rearrange data for use in common software packages
Able to present data clearly using a range of types of graph
Able to use a range of statistical techniques to analyse data and test hypotheses in physical geography
Increased confidence with spreadsheet and statistics software
Basic understanding of working with secondary datasets in physical geography