Module Tutor Photo
School of Physical and Geographical Sciences  
 
 
ESC-40007 Spatial Geoscience Data Analysis  
Co-ordinator: Dr Jamie Pringle    Room: WSF10B, Tel:33163  
Teaching Team: Dr Ian  Stimpson, Mr David  Emley, Dr Nigel  Cassidy, Mrs Stephanie  Everill, Dr Jamie  Pringle, Mrs Emma  Harvey, Mrs Karen  Babb, Ms Clare  Sillitto,  Andrew  Rankin  
Lecture Time: See Timetable...  
Level: 4 Credits: 15 Study Hours: 150  
School Office:
 
 
 
Programme/Approved Electives for

None

Available as a Free Standing Elective

No

Prerequisites

There are no prerequisites for this module.

Barred Combinations

Not applicable.

Description

Spatial Geoscience Data Analysis is designed to introduce the visualisation and analysis of sub-surface geoscience data through computer aided mapping, cartographic packages, statistical analysis and mapping and visualisation of multi-format data. Problem solving through a variety of datasets, including geophysical data acquisition, analysis and interpretation enables the use of equipment and techniques that are at the forefront of professional practice. Throughout the course, industry standard software and methodologies will be used in order to simulate real world situations.

Talis Aspire Reading List
Any reading lists will be provided by the start of the course.

http://lists.lib.keele.ac.uk/modules/esc-40007/lists

Aims

To provide experience of a variety of up to date methodologies for the acquisition, analysis and visualisation of spatially distributed geological and geophysical data.

Intended Learning Outcomes

develop a systematic process and demonstrate the use of digital imaging and graphics techniques for displaying and interpreting earth science data. will be achieved by assessments: 1,2,3
analyse geoscientific data, and to be able to evaluate critically the strengths and weaknesses of statistical methodologies. will be achieved by assessments: 1,2
plan and implement an integrated and applied geological and geophysical field-based study, which makes use of equipment and techniques that are at the forefront of professional practice. will be achieved by assessments: 3
demonstrate self-direction and originality in tackling and solving problems. will be achieved by assessments: 3
demonstrate skills at a professional level in report writing, problem-solving, computing, team-working and presentations. will be achieved by assessments: 3


Study hours

10 hours lectures
20 hours practical classes and related assignments
50 hours fieldwork
70 hours for completion of assignments and private study


Description of Module Assessment

001: Computer Task weighted 20%
DIGITAL IMAGING AND GRAPHICS EXERCISES AND REPORT


002: Computer Task weighted 20%
COMPUTER AIDED MAPPING EXERCISES


003: Computer Task weighted 25%
GEO-DATABASE EXERCISES AND REPORT


004: Practical Assessment weighted 35%
FIELD COURSE ASSIGNMENTS



Version: (1.06B) Updated: 03/Oct/2013

This document is the definitive current source of information about this module and supersedes any other information.