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EV5402: INTRODUCTION TO GIS (2015-2016)

Last modified: 25 Mar 2016 11:37


Course Overview

Introduction to GIS will provide you with the opportunities to become familiar with ArcGIS software and understand the application of GIS technologies to address ecological research questions.

·         Provide increasingly important GIS skills on your CV

·         Practical based course so you learn how to use GIS as well as getting the theory

·         Range of real research examples used in terrestrial and marine ecology

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 7.5 credits (3.75 ECTS credits)
Campus None. Sustained Study No
Co-ordinators
  • Dr Philip Smith

Qualification Prerequisites

None.

What courses & programmes must have been taken before this course?

  • One of MRes Ecology & Environmental Sustainability (Studied) or MRes Applied Marine and Fisheries Ecology (Studied) or MRes Environmental Science (Studied) or MRes Soil Science (Studied) or MSc Ecology & Environmental Sustainability (Studied) or MSc Applied Marine and Fisheries Ecology (Studied) or MSc Forestry (Taught) (Studied) or MSc Soil Science (Studied) or MSc Environmental Science (Studied) or MSci Biological Sciences (Studied)
  • Either Any Postgraduate Programme (Studied) or MSci Biological Sciences (Studied)
  • Either Any Postgraduate Programme (Studied) or BI4015 Grant Proposal (Passed)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

The aim of this course is to provide students with an understanding of the wealth of environmental monitoring methodologies available, and of the ways in which data acquired from observations can be used to understand the system being studied. At the end of the course, students will be able to identify the most appropriate monitoring methodology for a particular set of environmental indicators, and to identify the GIS-based method most appropriate to • Detect patterns in the acquired data • Identify relationships between different indicators. • Monitoring methodologies studied will be predominantly remote sensing (i.e., satellite, aerial photography) but will also consider ground-based approaches.

Associated Costs

None

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

One project report (100%).

Formative Assessment

There are no assessments for this course.

Feedback

None.

Course Learning Outcomes

None.

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