Module Information

Module Identifier
EAM3060
Module Title
Research Dissertation in Geographical Information Systems/Remote Sensing
Academic Year
2024/2025
Co-ordinator
Semester
Semester 3 (Dissertation)
Pre-Requisite
Registration on the MSc in Remote Sensing and GIS.
Reading List
Other Staff

Course Delivery

 

Assessment

Assessment Type Assessment length / details Proportion
Semester Assessment Dissertation  (12-15000 words)  100%
Supplementary Assessment Dissertation  (12-15000 words)  100%

Learning Outcomes

On successful completion of this module students should be able to:

1. Independently formulate research design and hypotheses.

2. Demonstrate their knowledge of the theoretical principles of scientific research.

3. Place research in appropriate wider contexts.

4. Search relevant databases.

5. Undertake independent fieldwork (if applicable)

6. Undertake appropriate laboratory analyses of GIS/remotely sensed data.

7. Demonstrate proficiency in appropriate GIS/remote sensing software.

Brief description

The research project is an independent study on a chosen research question relating to Remote Sensing and GIS. Students will have the possibility to specialise in the use of specific technique(s) in order to solve particular research questions. In some cases, projects may be related to research interests of staff or involve collaboration with external bodies.

Content

Following a staff presentation in December to outline the key elements of the module, students will be encouraged to meet with staff in to discuss their dissertation plans early in semester 2. Thereafter, there is no formal contact time, but students will be assigned a supervisor to provide guidance and advice during the course of the research and the writing of the dissertation.
The process is divided into several key stages:
•Devise research enquiry.
•Complete necessary background reading.
•Complete necessary field (where appropriate) and data processing.
•Complete written dissertation.

Module Skills

Skills Type Skills details
Application of Number The dissertation may involve the collection and analysis of primary data. In which case students will organise their data using databases, analyse data with appropriate statistical techniques and present sometimes complex quantitative datasets using graphs and tables.
Communication Written communication is assessed through the submission of the dissertation.
Improving own Learning and Performance Students will undertake a significant amount of self-directed study, including extensive reading, field and laboratory work. In order to complete the research on time, students need to demonstrate good time management.
Information Technology Students will be expected to use a range of information technology in the generation of their dissertations. Students will become familiar with the critical use of online source materials such as journals and policy documents. Students will normally use GIS software or freely available remote sensing data as part of their research. Others may wish to use Excel or statistical packages to interrogate databases, generate analyses and graphical outputs.
Personal Development and Career planning The dissertation will develop high level skills in synthesising, evaluating and presenting complex information. The presentation of information, orally and in the dissertation are key components of the module. This is useful preparatory experience for PhD research, and positions in public and private sector organisations.
Problem solving Students are expected to define a research problem and to devise an appropriate strategy to solve the problem.
Research skills Research skills are integral to the dissertation as it is based on research enquiry. All students will develop a range of research skills, dependent on the nature of their topic.
Subject Specific Skills This will depend on the topic of the dissertation.
Team work This is an independent project and teamwork is only anticipated if safety considerations in the field demand it.

Notes

This module is at CQFW Level 7