Programme/Approved Electives for 2021/22
Available as a Free Standing Elective
This module is designed to give an individual all of the required information and skills in the field of analytical sciences needed to become an effective researcher within an academic or commercial environment. In the module you will expand your knowledge on the principles of a wide range of state-of-the-art analytical techniques currently being used in research and development by both academia and industry. You will gain practical skills on a number of these state-of-the-art analytical techniques, some of which you will utilize in your research project. How to communicate your results to a specific audience is also covered. The assessment for this module is designed to reflect activities that an active researcher will carry out as part of their working life so it will make the transition from study to work that much easier.
Talis Aspire Reading ListAny reading lists will be provided by the start of the course.http://lists.lib.keele.ac.uk/modules/che-40030/lists
The aim of the module is to prepare students to be competent in a range of analytical techniques, which are all essential in (forensic) analytical science. This includes data analysis, quality control and reporting skills which would enable students from for example chemistry, forensic science and some bioscience degrees to access the course and prepare them for their independent research project.
Intended Learning Outcomes
evaluate the range of techniques and methodologies available to the analytical scientist and discuss their application and limitations to the analysis of a range of materials and samples: 2,3critically appraise a methodology and select an appropriate analytical strategy for its examination: 2,3set up examples of standard analytical instrumentation (including calibration), prepare appropriate samples and carry out straightforward laboratory measurements: 2design, develop and evaluate appropriate methods for data analysis and interpretation and apply these to experimental datasets of varying complexity, using a variety of relevant IT resources: 1,2critically review the results of experimental analytical work and draw relevant conclusions: 1,2critically discuss current methods and techniques within the analytical sciences, some of which are at, or informed by, the forefront of the discipline: 1,2,3solve problems efficiently with confidence and independence in laboratory work and act autonomously in planning and implementing tasks at a professional or equivalent level: 2critically review a specific technique/method and its range of applications and communicate these findings to an audience of peers: 1,2,3
80 hours workshops (combined lecture and practicals)12 hours lab sessions6 hours tutorials202 hours independent study
1: Report weighted 30%
Description of Module Assessment
Data Analysis exerciseData Analysis exercise based on the student┐s own data (equivalent to 1500 words)2: Laboratory Assessment weighted 30%
Large scale data analysisA large scale data analysis exercise on datasets obtained during a lab session or provided by the tutor, submitted in report form (equivalent to 2000 words)3: Portfolio weighted 40%
Critical evaluationA portfolio containing (1) critical evaluation/report or detailed analysis of a specific technique or methodology relevant to their research project, and (2) a critical self-evaluation of their work in the lab (evaluating methodology and documentation of lab work). Equivalent to 2500 words.