Registry

Module Specifications

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

Module Title	Advanced Statistics and Chemometrics
Module Code	CS507
School	School of Chemical Sciences
Online Module Resources
Module Co-ordinator	Semester 1: Dermot Diamond Semester 2: Dermot Diamond Autumn: Dermot Diamond
NFQ level	8	Credit Rating	5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Description

Module Aims:(1) Introduce the importance of statistical analysis of analytical data.(2) Interpret data sets using statistical tests to (2.1) quantify data quality (2.2) compare sets of data (2.3) fit models to data sets(3) Apply computer packages (Excel/SPSS) to analysis of data sets.(4) To develop skills in the statistical analysis of real world analytical chemistry data through case studies(5) To develop an awareness of Total Quality Management in chemical industry(6) To independently perform a statistical analysis of a case study.

Learning Outcomes

1. Critically analyse analytical data quality using appropriate tests
2. Perform fits to data including linear/non-linear regression and assess the quality of the fit
3. Evaluate and optimise the performance of a chemical process based on statistical analysis performed
4. Critically assess data sets based on applied inter-comparison tests

Workload	Full-time hours per semester
*Type*	*Hours*	*Description*
Lecturer supervised learning	12	6 x 2 hour practical sessions using computer programmes
Lecture	18	9 x 2 hour lectures
Independent learning	89	reviewing course content, preparing for assessments, practising using the statistical programmes and applying them to students own data sets
Total Workload: 119

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

Indicative Syllabus.
(1) Describing a set of data: mean, median, model, range, standard deviation, variance distributions including normal, binomial and Poisson. (2) Errors; relative and fixed bias, random errors, propagation of errors and accuracy. (3) Precision; comparing and combining standard deviations and means of data sets, limit of detection. (4) Linear regression and weighted linear regression; estimating concentration of unknowns from calibration lines; analysis of fit quality using residuals; reducing confidence interval of determination. (5) ANOVA. (6) Non-linear regression using theoretical models, polynomials and cubic splines.(7) Computer-based work to include application ofF andT tests, linear regression and non-linear curve fitting. (8) Chemometrics of optimisation (error minimisation, iterative approaches, applied to data modelling), experimental design and techniques for multidimensional data analysis and visualisation (e.g. PCR, PCA, DFA)..

Assessment Breakdown
Continuous Assessment	100%	Examination Weight	0%

Course Work Breakdown
Type	Description	% of total	Assessment Date
Computerised test/exam	3 x practical problems presented to the student, which they will have to use the skills learned during the course to complete	100%	As required

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 2

Indicative Reading List

James N. Miller and Jane C. Miller: 0, Statistics and chemometrics for analytical chemistry, 0131291920
[edited by] Stephen J. Haswell: 1992, Practical guide to chemometrics, Dekker, New York, 0824785975
Jürgen W. Einax, Heinz W. Zwanziger, Sabine Geiß,: 0, Chemometrics in Environmental Analysis, 3527287728

Other Resources

None

Array

Programme or List of Programmes

GCPA

GradDip Adv Chemical Pharmaceut Analysis

MCPA

MSc Adv Chemical Pharmaceutical Analysis

Timetable this semester: Timetable for CS507

Date of Last Revision

29-OCT-10

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