- Professor Karl Hoffmann
- Dr Peter Dennis
- Dr Scott Tompsett
- Mr David Powell
- Dr Matthew Hegarty
- Dr Danny Thorogood
- Dr Sarah Dalesman
- Dr David Wilcockson
- Professor Michael Wilkinson
- Dr Daniel Mills
- Dr Adriana Ravagnani
- Dr Guilherme A. Bortolotto
- Dr Helen Marshall
- Professor Paul Shaw
- Dr Niall Mckeown
- Dr Peter Korsten
- Mr James Cuffe
- Dr Roger Santer
- Professor Gareth Griffith
- Professor Peter Brophy
|Assessment Type||Assessment length / details||Proportion|
|Semester Assessment||Coursework Essay An initial tutor-guided and marked essay assignment to familiarise students with scientific style writing, research and referencing. 1000 Words||10%|
|Semester Assessment||Laboratory write-up (including oral presentation) A scientific style lab report based on the results of the DNA barcoding practicals undertaken in semester 1, along with a group oral presentation of the report via tutorial. 2000 Words||70%|
|Semester Assessment||1 Hours Notebook-assisted data analysis exercise Students will use data from the Semester 2 laboratory practicals and understanding of data analysis and plotting in R gained in the workshop sessions to perform simple interpretation of data accumulated in their electronic lab notebooks.||20%|
|Supplementary Assessment||Coursework Essay An initial tutor-guided and marked essay assignment to familiarise students with scientific style writing, research and referencing. 1000 Words||10%|
|Supplementary Assessment||Laboratory write-up A scientific style lab report based on the results of the DNA barcoding practicals undertaken in Week 1 of semester 1. 2000 Words||70%|
|Supplementary Assessment||1 Hours Notebook-assisted data analysis exercise Students will use data from the Semester 2 laboratory practicals and understanding of data analysis and plotting gained in the workshop sessions to perform simple interpretation of data accumulated in their electronic lab notebooks.||20%|
On successful completion of this module students should be able to:
Communicate information and ideas in the form of written reports and oral group presentations.
Develop a reasoned argument and challenge assumptions.
Formulate hypotheses and research questions, undertake data collection, and make academic arguments.
Identify appropriate data sources and information resources.
Instill appropriate academic conduct (e.g. avoiding unacceptable practice).
Interpret and use data.
Demonstrate basic computer literacy.
Apply the scientific method to address practical, real-world problems.
This module aims to develop your ability to research information and communicate effectively as written and oral presentations whilst adhering to correct citation style and good academic practice. You will also gain practical skills, and confidence, in scientific data collection and analysis. You will develop these skills through practical investigation of several forensic scientific problems, and detailed analysis of your data.
Semester 2 will also begin with an intensive first week of laboratory exercises during which students will keep a detailed laboratory notebook of their findings. Laboratory exercises will be drawn from areas such as forensic entomology and ecotoxicology. In the remainder of semester 2, students will undertake 10, weekly-scheduled computer room sessions during which they will learn to plot, analyse, and critically appraise data from the laboratory week with staff on-hand to help and provide formative feedback. Data collection, analysis, and notes, will be collated in a laboratory notebook that is designed both as an element of assessment, and to provide a ‘how to’ guide to Good Laboratory Practice for later stages of study.
|Skills Type||Skills details|
|Application of Number||Data handling is a key theme of this module.|
|Communication||Clear written communication of scientific data, ideas, and techniques will be an element of coursework.|
|Improving own Learning and Performance||The notebook assignment will allow opportunity for reflection, development of ideas, and technical notes that will be useful in future learning.|
|Information Technology||Students will build competence and confidence with standard data handling and graphing tools including R.|
|Personal Development and Career planning||Not assessed as part of this module, though students will gain an understanding of how scientific skills can be more widely applied to practical problems.|
|Problem solving||Students will collect and analyse scientific data in order to address scientific problems.|
|Research skills||Students will be required to conduct literature research to understand the context of their practical work.|
|Subject Specific Skills||Students will gain familiarity with a variety of practical laboratory techniques.|
|Team work||Students will work together with tutor guidance to generate a group presentation as part of the lab report exercise.|
This module is at CQFW Level 4