Module: Visualisation & Validation of Laboratory Data

Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title	Visualisation & Validation of Laboratory Data
Module Code	CS207 (ITS) / CHM1013 (Banner)
Faculty	Science & Health	School	Chemical Sciences
Module Co-ordinator	Loanda Cumba
Module Teachers	Mercedes Vazquez, Robert Forster
NFQ level	8	Credit Rating	5
Pre-requisite	Not Available
Co-requisite	Not Available
Compatibles	Not Available
Incompatibles	Not Available

Coursework Only
Array

Description

The purpose of this module is to develop skills in the use of spreadsheets and other relevant tools 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.

Learning Outcomes

1. Apply descriptive statistical methods to quantitatively summarize a chemical data set.
2. Present and compare data in graphical and tabular form.
3. Perform linear regression analysis on chemical data sets.
4. Apply theoretical models so as to linearise data sets.
5. Process data so as to maximise information content.

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Workshop	30	Real world and theoretical chemical problems in data analysis, visualisation and presentation will be presented and discussed. Students will then quantitatively analyse a spreadsheet containing data relevant to the problem, fit models and produce presentations of their conclusions.
Independent Study	95	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

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

Calibration curves
Students will learn how to perform a calibration curve and add the corresponding error bars.

Data presentation
Students will learn to properly edit documents in Word (for lab report formatting) and Power Point (for oral presentations).

Descriptive Statistics
Students will use Excel to calculate quantitative descriptive statistics for data sets including mean, standard deviation and standard/relative/absolute error, as well as 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.

Assessment Breakdown
Continuous Assessment	100%	Examination Weight	0%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Completion of online activity	Two Loop short question/MCQ assignments and one end-of-module Loop exam	100%	As required

Reassessment Requirement Type
Resit arrangements are explained by the following categories: Resit category 1: A resit is available for both* components of the module. Resit category 2: No resit is available for a 100% continuous assessment module. Resit category 3: No resit is available for the continuous assessment component where there is a continuous assessment and examination element.
* ‘Both’ is used in the context of the module having a Continuous Assessment/Examination split; where the module is 100% continuous assessment, there will also be a resit of the assessment
This module is category 1

Indicative Reading List

James N. Miller, Jane C. Miller: 2010, Statistics and chemometrics for analytical chemistry, 6th, eBook, Pearson Education M.U.A., Harlow, England,
Robert De Levie: 2001, How to use Excel in analytical chemistry and in general scientific data analysis, e-book, Cambridge University Press, Cambridge; New York.,
Diamond, D. and Hanratty, V.C.A.: 1997, Spreadsheet Applications in Chemistry,, Wiley Interscience, ISBN 0471149872

Other Resources

None