1. Use effectively library and it resources for the search and retrieval of information.
Enquiry

2. Evaluate and interpret information from a range of sources and summarise findings.
Analysis
Problem Solving

3. Demonstrate effective skills in independent learning.
Learning
Reflection

4. Demonstrate presentation and employment related skills.
Communication
Reflection

5. Understand, apply and interpret statistical analysis to fictional data.
Analysis
Application
Knowledge and Understanding
Learning
Problem Solving
Subject Specific 1

This module aims to help you develop a wide range of skills in order to enable you to effectively find, evaluate, summarise and present information on designated topics appropriate to your award. You will be given guidance in the effective use of library and IT resources for information retrieval and processing, and in designing a research project.

Students will acquire knowledge of a range of statistical tests available for data analysis and learn how to apply and interpret them using statistical packages.

A PORTFOLIO weighted at 100% consisting of a literature review, an individual presentation based on the development of the literature review into a research project and a 1 hour exam to examine the data handling aspects of the module. As part of the presentation, students will be required to explain the type of data that would be produced from the project and how this data could be analysed and interpreted statistically, using fictional data as part of their presentation.

Outcomes 1,2,3,4,5

Students will be provided with formative assessment and feedback via blackboard and during tutorial sessions.

Seven x 1 hour interactive lectures in semester one and two x 1 hour lectures in semester two, to present and discuss the information, plus eight x 1 hour group tutorials to discuss and analyse the lecture material. Three x 3 hour data handling tutorials will be delivered during semester 2. Non-contact independent study will require extensive reading of literature and preparation for the data handling components.

Gardiner, W.P. (1997), Statistical Analysis Methods for Chemists: A Software Based Approach, GB: Royal Society of Chemistry.

Kinnear, P.R. Gray, C.D. (2012) IBM SPSS 19 Statistics Made Simple, New York: Psychology Press.

Kirkup, L. (1994) Experimental Methods: An Introduction to the Analysis and Presentation of Data, Chichester: Wiley.

Langford, A., Dean, J., et. al, (2010), Practical Skills in Forensic Science (2nd Edition), Harlow: Pearson.

Miller, J.C. & Miller, J.N. 1988, Statistics for Analytical Chemistry, 2nd Edition, Chichester: Ellis Horwood.

Munro, M. (2006) Chambers Report Writing. Edinburgh: Chambers.

Pallant, J. (2016) SPSS Survival Manual, 6th Edition, New York: McGraw Hill

Thompson, M. & Lowthian, P.J. (2014), Notes on Statistics and Data Quality for Analytical Chemists, GB: Imperial College Press.

Library and information facilities. A module handbook. Blackboard VLE.

Progress to Level 5 of a Chemistry course