Registry

Module Specifications

Current Academic Year 2012 - 2013
Please note that this information is subject to change.

Module Title	Organisation, Visualisation, Validation and Presentation of Laboratory Data
Module Code	CS207
School	School of Chemical Sciences
Online Module Resources
Module Co-ordinator	Semester 1: Robert Forster Semester 2: Robert Forster Autumn: Robert Forster
NFQ level	8	Credit Rating	5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

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.

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.

Workload	Full-time hours per semester
*Type*	*Hours*	*Description*
Lecture	12	Real world and theoretical chemical problems in data analysis, visualisation and presentation are presented and discussed.
Laboratory	24	Students quantitatively analyse a spreadsheet containing data, fit models and produce presentations of their conclusions.
Independent learning	89	Students conduct background reading and practice preparing spreadsheets, documents and presentation skills. Students also revise key chemistry topics covered in course.
Total Workload: 125

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

Indicative Content and Learning Activities

Descriptive Statistics.
Students 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 Data.
Students 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 Equilibria.
Experimental monoprotic titration data will be analysed using theoretical models and plotted and analysed..

Importing instrumental data.
Students will learn how to import, frmt, analyse and present data generated by a range of instruments..

Multi-Step Reactions.
Students will use theoretical formation constants to construct and visualise the concnetrations of individua components in a multi-step Metal – Ligand Complexation reaction..

Gradient Search Methods.
Students will use gradient search methods to fit non-linear models such as kinetics, equilibria etc, to experimental data..

Assessment Breakdown
Continuous Assessment	100%	Examination Weight	0%

Course Work Breakdown
Type	Description	% of total	Assessment Date
Assignment	n/a	100%	Every Week

Reassessment Requirement
Resit arrangements are explained by the following categories; 1 = A resit is available for all components of the module 2 = No resit is available for 100% continuous assessment module 3 = No resit is available for the continuous assessment component
This module is category 1

Indicative Reading List

Diamond, D. and Hanratty, V.C.A.: 1997, Spreadsheet Applications in Chemistry,, Wiley Interscience, ISBN 0471149872
E. Joseph Billo: 1997, Excel for Chemists, Wiley-VCH, 0-471-18896-4

Other Resources

None

Array

Programme or List of Programmes

BSc in Chemical and Pharmaceutical Sc.

BSc in Analytical Science

BSSA

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BSSAO

Study Abroad (DCU Business School)

BSc in Chemistry with French

BSc in Chemistry with German