GG4304 Advanced analysis in Physical Geography

2023 to 2024 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 10

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

Mon 10am-11pm, Tues 1pm-4pm

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

Module coordinator

Dr R T Streeter

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

Module Staff

Dr Richard Streeter and Dr Tom Cowton

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 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-requisites

BEFORE TAKING THIS MODULE YOU MUST PASS GG3211 AND PASS GG3212

Anti-requisites

YOU CANNOT TAKE THIS MODULE IF YOU PASS GG4224 OR TAKE GG4224

Assessment pattern

100% Coursework

Re-assessment

100% Coursework

Learning and teaching methods and delivery

Weekly contact

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

Scheduled learning hours

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

Guided independent study hours

260

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

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