KE4005 - Exploring Geographical and Environmental Data

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What will I learn on this module?

In this module, you will learn to explore and analyse a wide range of geographical and environmental data. You will engage in teaching, learning and assessment activities, which are generic to all students of geography and environmental science, as well as specific tasks tailored towards your own degree programme. The module aims to give you a broad introduction to data collection and analysis in the geographical and environmental sciences, which will form the basis of programme-specific training at levels 5 and 6 and future graduate employment. Topics and issues covered include:
• sources of geographical and environmental data;
• descriptive and inferential statistics;
• geographical information systems;
• qualitative data collection and analysis.

How will I learn on this module?

In this module, you will learn through a series of short (1-hour) lectures, IT practical classes and seminars. You will also make use of a range of learning resources, including specific software programmes.

The learning will be divided into five key areas:
1) exploring quantitative data (semester 1);
2) key methods in data collection (semester 1);
3) understanding qualitative data (semester 2);
4) spatial data analysis (semester 2);
5) programme-specific data projects (semesters 1 & 2).
In certain weeks you will have an hourly lecture outlining the key concepts related to that week’s topic. This lecture will be followed later in the week by an IT practical class or a workshop to enable you to ground the ideas introduced in the lecture in real-world dataset analysis. There will also be two project weeks (one in each semester), as part of which you will be asked to complete programme-specific data analysis activities.

How will I be supported academically on this module?

You will be supported academically by a module handbook outlining key dates, general assignment briefs for the academic year, plus key books and journals to help you plan your learning and time. You will be given directed reading via an electronic reading list. In addition, you will be given comprehensive handbooks for each of the blocks of learning, detailing activities for weekly IT practical sessions and directing you to specialist online data sources, resources and reading materials. You will receive tailored written feedback on the written assignments.
Teaching staff operate an ‘open door’ policy for students meaning you can approach them anytime during normal office hours, or via email, to answer questions, receive feedback and support your learning on the module.

What will I be expected to read on this module?

All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)

What will I be expected to achieve?

Knowledge & Understanding:
• MLO1: Source and analyse a wide range of both primary and secondary geographical and environmental data.

Intellectual / Professional skills & abilities:
• MLO2: Develop and apply skills in the using a wide range of data analysis software.
• MLO3: Summarise, present and report the findings of your data analysis precisely and succinctly.

Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
• MLO4: Work effectively with others and to strict and limited deadlines, incorporating decision making and time management.

How will I be assessed?

The summative assessments on this module are: a quantitative data analysis report (40% – MLOs 1-3) and a programme-specific assignment incorporating spatial data analysis (60% - MLOs 1-4). Both assessments will be submitted electronically via Turnitin on the eLP module site.

The quantitative data analysis report will be submitted following the first project week in semester 1 and will incorporate descriptive and inferential statistical analysis of a programme-specific quantitative dataset.

The programme-specific assignment incorporating spatial data analysis will be submitted in semester 2. This coursework report will be based on skills developed during the teaching in semester 2 and will draw on sessions organised during the second project week towards the end of the semester.

Verbal feedback on tasks completed in practical classes will be supplied immediately. Written feedback will provided electronically on submitted assignments, normally within three working weeks of submission.
Students will receive verbal formative feedback on tasks and analysis undertaken in workshops and IT classes to support them in completing both reports.

Pre-requisite(s)

None

Co-requisite(s)

None

Module abstract

In this module, you will learn and develop key data analysis skills for geographers and environmental scientists, which will then be enhanced by programme-specific training further on in your degree. This will include the development of specific software skills. You will analyse data from secondary sources to help you explore real-world geographical and environmental issues and phenomena.

Teaching and learning activities are tailored towards your own degree programme and the module will be delivered primarily through short 1-hour lectures, IT practical classes and seminars. You will also have access to a range of learning resources, including electronic reading lists, made available via the module eLP site. The module will be assessed by a quantitative data analysis report (40%) and a programme-specific assignment incorporating spatial data analysis (60%).

What will I learn on this module?

In this module, you will learn through a series of short (1-hour) lectures, IT practical classes and seminars. You will also make use of a range of learning resources, including specific software programmes.

The learning will be divided into five key areas:
1) exploring quantitative data (semester 1);
2) spatial data analysis (semester 2);
3) qualitative data analysis (semester 2).
In certain weeks you will have an hourly lecture outlining the key concepts related to that week’s topic. This lecture will be followed later in the week by an IT practical class or a workshop to enable you to ground the ideas introduced in the lecture in real-world dataset analysis. There will also be a project week at the end of semester 2, as part of which you will be asked to complete analysis of datasets relating to climate change. The project will involve group work.

Course info

UCAS Code L700

Credits 20

Level of Study Undergraduate

Mode of Study 3 years full-time or 4 years with a placement (sandwich)/study abroad

Department Geography and Environmental Sciences

Location City Campus, Northumbria University

City Newcastle

Start September 2019 or September 2020

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