- Dr Andrew Hemmings (Principal Lecturer - Royal Agricultural University)
- Dr Graham P Stafford (Senior Lecturer - University of Sheffield)
- Mr Henry J S Finch (Principal Lecturer - Royal Agricultural University (RAU))
- Dr Jean-Marc Schwartz (Senior Lecturer - University of Manchester)
- Dr Martin Genner (Senior Lecturer - University of Bristol)
- Professor Pat Heslop-Harrison (Professor - University of Leicester)
- Dr Peter Hastie (Senior Lecturer - Glasgow University)
- Mr Steven G Thomson (Senior Lecturer - SRUC)
|Delivery Type||Delivery length / details|
|Lecture||11 x 1 Hour Lectures|
|Lecture||1 x 1 Hour Lecture|
|Assessment Type||Assessment length / details||Proportion|
|Semester Assessment||Oral Presentation (10 minutes with 5 minutes for questions)||10%|
|Semester Assessment||Dissertation (8,000 words)||90%|
|Supplementary Assessment||Students must take elements of assessment equivalent to those that led to failure of the module.||100%|
On successful completion of this module students should be able to:
1. Assess and evaluate information from a range of sources.
2. Identify and apply appropriate techniques of data analysis.
3. Draw out conclusions and discuss these in relation to existing knowledge in the field.
4. Highlight unanswered questions and areas of controversy in their research area.
5. Formulate suggestions for future research.
6. Display appropriate scientific-writing and IT skills.
7. Present the context, data, results and conclusions in an appropriate manner.
8. Demonstrate a significant degree of independence in their work.
The module will provide students with the opportunity to perform in-depth research on a topic that is relevant to their degree. Many projects will be based on laboratory experiments or fieldwork exercises; others will comprise a computer modelling exercise based on secondary data sources or the development of a detailed business plan. Others again will involve a critical review of published literature. All projects, regardless of their mode, will require students to work independently under the guidance of a supervisor, to perform a review of literature, conduct investigative work and analysis, develop suitable conclusions and recommendations, and present this in the form of a dissertation.
The module aims to increase students' skills of independent research, building on current knowledge, putting into practice the knowledge and skills obtained throughout their degree programme to make a novel contribution to our knowledge.
An Introductory lecture in the 1st semester will provide guidance on how to approach the Dissertation research. In the 2nd semester, optional weekly drop-in clinics will be held to provide advice on specific aspects of the preparation of the Dissertation.
|Skills Type||Skills details|
|Application of Number||This module may require students to develop general mathematical awareness and its application in practical contexts (e.g. measuring, weighing and applying formulae) according to the nature of the project. Students may also obtain and interpret mathematical and statistical information.|
|Communication||Students will be required to give a research seminar on their project, testing their ability to produce clearly structured written work and oral literacy. Students undertaking an experimental research project will also develop effective listening skills during instruction and training. Written literacy will also be developed through production of the research dissertation.|
|Improving own Learning and Performance||This module will help students develop and apply realistic learning and self management strategies. Students will devise personal action plans to include short- and long-term goals, and to review and monitor progress, revising action plans as appropriate to improve overall performance. These will be submitted to assist supervisors in determining an appropriate mark for student conduct.|
|Information Technology||A range of IT skills are used during this module. Students will be expected to develop skills in preparing and inputting data, spreadsheets, word processing and research-specific analysis programs to analyse results appropriate to their project.|
|Personal Development and Career planning||Not a specific element of this module.|
|Problem solving||This skill is a key component of the module, students will be encouraged to critically analyse primary and/or secondary data, identify factors that might influence potential solutions, and apply creative thinking to develop appropriate solutions.|
|Research skills||This is a research-based module that requires students to understand and evaluate a range of research methods and procedures, plan and carry out research, and produce an academic report (dissertation).|
|Subject Specific Skills||Subject-specific skills developed will depend on the research project being undertaken e.g. training in DNA sequencing and analysis, questionnaire design, behavioural observation, etc.|
|Team work||Not a specific element of this module although some students will be required to work with other members of a laboratory or research group, including other Dissertation students.|
This module is at CQFW Level 6