Registry
Module Specifications
Archived Version 2011 - 2012
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Description The purpose of this module is to develop skills in the us of spreadsheets for the visualisation, analysis and presentation of chemical data. In this module, students will develop knowledge and skills in descriptive statistics and the importance of statistical data for validating results. Students are expected to attend lectures a well as hands-on practical PC sessions and to contribute to discussions. | |||||||||||||||||||||||||||||||||||||||||
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Learning Outcomes 1. Apply descriptive statistical methods to quantitatively summarize a chemical data set. 2. Present and compare data in graphical form. 3. Perform linear regression analysis on chemical data sets. 4. Apply theoretical models so as to linearise data sets. 5. Process data, e.g., by using numerical differentiation, so as to maximise information conent. 6. Use gradient search methods to fit non-linear theoretical models to experimental data. | |||||||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and
Learning Activities Descriptive StatisticsStudents will use Excel to calculate quantitative descriptive statistics for data sets including mean, standard deviation, standard, relative and absolute errors, perform one-tailed & two-tailed tests and F-tests.Modelling Kinetic DataStudents will linearise first and second order kinetic models, apply these models to experimental data and apply linear regression analysis to determine the rate constants.Modelling and Visualising EquilibriaExperimental monoprotic titration data will be analysed using theoretical models and plotted and analysed.Importing instrumental dataStudents will learn how to import, frmt, analyse and present data generated by a range of instruments.Multi-Step ReactionsStudents will use theoretical formation constants to construct and visualise the concnetrations of individua components in a multi-step Metal – Ligand Complexation reaction.Gradient Search MethodsStudents will use gradient search methods to fit non-linear models such as kinetics, equilibria etc, to experimental data. | |||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources None | |||||||||||||||||||||||||||||||||||||||||
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