Programme/Approved Electives for 2021/22
None
Available as a Free Standing Elective
No
This module covers a wide range of modern spectroscopic and related techniques used for the chemical characterisation of forensic materials, methods of structural and elemental analysis, XRF, chromatography and mass spectrometry. It also provides experience of these techniques in the practical context.
Aims
The aim of the module is that students will use a wide range of modern spectroscopic and related techniques for the chemical characterisation of (forensic) materials, methods of structural and elemental analysis, chromatography and mass spectrometry. It aims to provide the experience of these techniques in the practical context.
Intended Learning Outcomes
explain and apply the basic principles of quantitative analysis and data processing: 1explain the theory of elemental analysis and mass spectrometry: 1explain the basic principles and the potential of hyphenated techniques in analysis: 1analyse complex samples using a combination of spectroscopic techniques: 2report and present the results of a forensic analytical investigation in a competent manner: 2critically evaluate journal articles in relation to the analysis of data obtained in a forensic investigation: 1,2demonstrate an understanding of the context and application of quality assurance in the laboratory: 1,2discuss the potential of spectroscopic techniques for the analysis of complex samples particularly for forensic applications: 1,2
Content delivery (15h), laboratory work, including data analysis (34h), workshops (12h), directed study (30h), independent learning (59h)
Description of Module Assessment
1: Class Test weighted 40%EXERCISE - SOLVE DATA ANALYSIS PROBLEMSProblem-based open book exam assessment (under exam conditions) consisting of long questions based on the content delivered in the lecture and laboratory sessions.
2: Portfolio weighted 60%PRACTICAL ASSESSMENT - EXPERIMENTAL TASKSA portfolio equivalent to 3000-3500 words incorporating a number of assessments, such as laboratory reports, data analysis and collaborative team working.