Module overview
Environmental Scientists need to be able to collect and analyse data relating to a wide range of disciplines, and to be able to interpret this data in relation to “real world” applications. This module introduces you to science in context, with the content cutting across and linking with other part 1 provision, particularly ENVS1005 (reinforcement of quantitative and analytical methods) and ENVS1007 (training in field, practical and research techniques). After initial training in how to access University systems and to carry out basic data exploration using Excel, ENVS1006 consists of a series of topic specific units, each of which begins with a problem or question (e.g. highlighting the societal need or concern) and then trains you to collect data in order to address that question.
Aims and Objectives
Learning Outcomes
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- Issues concerning the availability and sustainability of resources, for example, the different value sets relating to the Earth's resources as commodities and/or heritage
- The terminology, nomenclature and classification systems used in environmental science
- The contribution of environmental science to the development of knowledge of the world we live in
- The need for both a multi-disciplinary and an interdisciplinary approach in advancing knowledge and understanding of Earth systems, drawing, as appropriate, from the natural and the social sciences
- Methods of acquiring, interpreting and analysing environmental science information with a critical understanding of the appropriate contexts for their use
- The processes which shape the natural world at different temporal and spatial scales and their influence on and by human activities
- The contribution of environmental science to debate on environmental issues and how knowledge of these forms the basis for informed concern about the Earth and its people
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- Solving numerical problems using computer and non-computer-based techniques
- Receiving and responding to a variety of information sources (e.g. textual, numerical, verbal, graphical)
- Communicating appropriately to a variety of audiences in written, verbal and graphical forms
- Preparing, processing, interpreting and presenting data, using appropriate qualitative and quantitative techniques and packages including geographic information systems
- Using the internet critically as a means of communication and a source of information
- Appreciating issues of sample selection, accuracy, precision and uncertainty during collection, recording and analysis of data in the field and laboratory
- Developing the skills necessary for self-managed and lifelong learning (e.g. working independently, time management and organisation skills)
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Collecting and integrating several lines of evidence to formulate and test hypotheses
- Recognising the moral and ethical issues of investigations and appreciating the need for professional codes of conduct
- Recognising and using subject-specific theories, paradigms, concepts and principles
- Analysing, synthesising and summarising information critically, including prior research
- Applying knowledge and understanding to complex and multidimensional problems in familiar and unfamiliar contexts
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- Referencing work in an appropriate manner
- Undertaking field and laboratory investigations in a responsible and safe manner, paying due attention to risk assessment, rights of access, relevant health and safety regulations, and sensitivity to the impact of investigations on the environment and stakeholders
- Planning, conducting, and reporting on environmental investigations, including the use of secondary data
- Collecting, recording and analysing data using appropriate techniques in the field and laboratory
Syllabus
The module begins with an introduction to ways in which you can use Excel to visualise and explore datasets. The subsequent units may cover, but are not limited to, topics such as:
- Intertidal ecosystems
- Freshwater ecosystems
- Biological indicators
- Forestry methods
Learning and Teaching
Teaching and learning methods
This module uses a wide range of teaching and learning methods, which vary from unit to unit. Each unit will include a session to provide the scientific context to the problem being studied and then either a field or laboratory session to collect and analyse data. Some units also include computer practical sessions in order to process and analyse data, whilst other units include workshop sessions to discuss findings and evaluate the field methods.
Type | Hours |
---|---|
Revision | 10 |
Follow-up work | 36 |
Fieldwork | 28 |
Preparation for scheduled sessions | 9 |
Practical classes and workshops | 12 |
Tutorial | 3 |
Lecture | 31 |
Completion of assessment task | 8 |
Supervised time in studio/workshop | 8 |
Wider reading or practice | 5 |
Total study time | 150 |
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Coursework portfolio | 100% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Assessment | 100% |
Repeat Information
Repeat type: Internal & External