Module Identifier EAM2020  
Academic Year 2004/2005  
Co-ordinator Dr Richard M Lucas  
Semester Semester 2  
Other staff Dr Aled P Rowlands  
Pre-Requisite Registered for the MSc in GIS/remote sensing  
Course delivery Seminars / Tutorials   15 minute presentation per student.  
  Other   24 days of work experience i.e. 2 days per week for 12 weeks  
Assessment TypeAssessment Length/DetailsProportion
Semester Assessment Industrial placement portfolio of completed tasks70%
Semester Assessment Post-placement presentation (15 minutes)20%
Semester Assessment Employer Report10%
Supplementary Assessment Re-submission of industrial placement report and/or repeat presentation. 

Learning outcomes

On successful completion of this module students should be able to:
1. Sustain a work placement for a required period of time.

2. Work to a set schedule within a business, academic or a government environment and complete tasks in a timely , effective and efficient manner.

3. Work independently but also within a team envioronment.

4. Complete GIS and/or remote sensing related tasks to an agreed standard.

5. Apply the knowledge and experience gained in GIS/remote sensing modules to real work situations and for applications development and research.

6. Assess and reflect on the value and relevance of the work experience gained through a post placement presentation.

7.   Assess the contribution of the placement experience to their career development.

Brief description

Students will be allocated work experience in GIS and/or remote sensing for two full days per week (unpaid) during the 2nd semester at one of the following locations:

In each case, the student will work on specific advanced GIS/remote sensing techniques that have direct commercial use or benefit pure or applications research and development. Each student will be allocated with a dedicated supervisor for the duration of the placement.


Through these placements, students will be offered advanced training in one or several of fields including digital photogrammetry, lidar processing, SAR processing (including polarimetry and interferometry), image segmentation and classification (e.g. using eCognition), hyperspectral analysis, database management, development of user-specified software, terrain analysis and GIS applications research.

For each placement, students will be given a specified and mutually agreed GIS/remote sensing application problem, which they will address through individual research and teamwork within the organisation supporting the placement. Each poroject will have a commercial and/or research emphasis.

Students will provide a portofolio of their work and present a 15 minute seminar on their work experience at the end of the period. The Employer will provide a report on the performance of the student.


This module is at CQFW Level 7