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GEOG6112 Academic and Technical Skills Development

Module Overview

A range of skills are required for those wishing to work in the realm of remote sensing and spatial analysis. This unit will help develop the skills base of students with regard to academic skills as well as those of particular value to further research and/or employment. The skills will be developed within the context of topics in remote sensing and spatial analysis. Sessions will focus on skills such as time-management, gathering information (library and electronic resources), effective reading and note-taking, referencing and plagiarism, essay writing, oral presentation, group work and report writing. Students will also be introduced to modelling and undertake a statistical component which includes practical sessions using the R statistics environment leading into an assessment. Students will be encouraged to manage their own learning, by reflecting on their current levels of skills and develop learning goals where they have gaps.

Aims and Objectives

Module Aims

1. To develop academic skills 2. To develop team building skills 3. To develop communication skills (written, oral, and visual) to a high level 4. To develop the skills necessary for self-managed and life-long learning (e.g., independent working, time management and organisational skills) 5. To develop an adaptable and flexible approach to study and work

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • To develop academic skills
  • To develop team building skills
  • To develop communication skills (written, oral, and visual) to a high level
  • To develop the skills necessary for self-managed and life-long learning (e.g., independent working, time management and organisational skills)
  • To develop an adaptable and flexible approach to study and work

Syllabus

Students will develop academic skills relevant to GIS and remote sensing well as skills valuable in research organisations and industry. Students will be introduced to modelling and undertake a statistical component which includes practical sessions using the R statistics environment leading into an assessment.

Learning and Teaching

Teaching and learning methods

Teaching and learning will be via a mix of lectures, small group seminars, computer-based practicals, student-led group work, group and individual written coursework and group-based presentations.

TypeHours
Lecture19
Independent Study131
Total study time150

Assessment

Summative

MethodPercentage contribution
A lab report  ( words) 33%
Critical essay  ( words) 33%
Group presentation  ( minutes) 34%
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