University of St Andrews

Key information

SCOTCAT credits : 30

ECTS credits : 15

Level : SCQF level 10

Semester: 1

Planned timetable: Mon 10am-11pm, Tues 1pm-4pm

This module introduces students to a range of advanced and cutting-edge research skills and approaches used in Physical Geography. Topics in the module will develop skills in handling, analysing, interpreting, and communicating typical datasets found in physical geography studies. Typical methods might include time-series analysis, multivariate statistics, and computer modelling. These approaches will be explored through a range of research topics in physical geography – integrating hands-on applied learning with critical reading of the primary literature. Training in statistical programming languages (for example, R) will form a core part of this course. The course also explores different styles of communicating complex information.

Relationship to other modules

Pre-requisite(s): Before taking this module you must pass GG3211 and pass GG3212

Anti-requisite(s): You cannot take this module if you pass GG4224 or take GG4224

Learning and teaching methods and delivery

Weekly contact: 1x1hr lecture (x10 weeks) 1x3hr lab (x10 weeks) 1x4hr field trip

Scheduled learning hours: 44

Guided independent study hours: 260

Assessment pattern

As used by St Andrews: 100% Coursework


Re-assessment: 100% Coursework

Personnel

Module coordinator: Dr R T Streeter
Module teaching staff: Dr Richard Streeter and Dr Tom Cowton
Module coordinator email rts3@st-andrews.ac.uk

Intended learning outcomes

• Develop advanced data handling skills using statistical programming languages
• Display familiarity with a range of frequently used analysis approaches in physical geography, for example time-series analysis, multivariate statistics and modelling approaches
• Display skills in handling, reporting and disseminating quantitative data to diverse audiences
• Convey complex datasets visually