Module: Mathematical & Statistical Methods

Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title	Mathematical & Statistical Methods
Module Code	MS001 (ITS) / BAA1080 (Banner)
Faculty	DCU Business School	School	DCU Business School
Module Co-ordinator	Jennifer McManis
Module Teachers	Lorraine Delaney, Mary Sharp, Richard Bolger, Shirley Anne O'Brien
NFQ level	8	Credit Rating	15
Pre-requisite	Not Available
Co-requisite	Not Available
Compatibles	Not Available
Incompatibles	Not Available

Repeat examination
Reassessment of this module will consist of a terminal examination. There may also be a requirement for coursework to be reassessed.

Description

The purpose of this module is to equip students with a solid foundation in mathematics and statistics. The module is delivered through a combination of face to face and online tutorials and online learning resources.

Learning Outcomes

1. Analyse and explain a set of data using numerical measures
2. Solve statistical problems using Excel spreadsheets
3. Apply the principles of sampling to solve problems
4. Solve problems by applying principles of probability and probability distributions
5. Choose suitable tests to formulate and apply hypotheses for statistical analysis
6. Communicate in writing the solution of numeric problems
7. Calculate relationships between variables to solve problems
8. Demonstrate an ability to understand basic concepts and solve problems.
9. Integrate and differentiate functions

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Tutorial	25	Online tutorials are held on Saturdays and weekday evenings according to the timetable
Online activity	30	Interaction with tutor and fellow students
Assignment Completion	73	Work independently on assessments over the course of the academic year
Assessment Feedback	10	Processing and application of individual and general feedback received on each assignment submitted.
Independent Study	235	Reading course notes and recommended readings. Searching and studying web resources. Library work.
Directed learning	2	Examination
Total Workload: 375

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

Statistical Methods
Introductory algebra and Excel/ The organisation and presentation of data/ Measuring central tendency and dispersion/ Probability/ Probability distributions/ Elementary sampling theory & methods/ Statistical estimation/ Hypothesis testing/ Applications of the chi-square distribution/ Correlation and linear regression.

Mathematical Methods
Functions/ Linear algebra/ Trigonometry/ Differential calculus

Assessment Breakdown
Continuous Assessment	25%	Examination Weight	75%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Assignment	Written assignment	7%	n/a
Assignment	Written assignment	9%	n/a
Assignment	Written assignment	9%	n/a

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

Dexter J. Booth: 1998, Foundation Mathematics (Modern Applications of Mathematics), 3rd, Pearson, England,
John H. Kranzler: 2010, Statistics for the Terrified, 5th, Pearson,
Robert B. Mc.Call: 1994, Fundamental Statistics for the Behavioural Sciences, 6th, Wadsworth Publishing Co Inc.,
Frederick J. Gravetter and Larry B. Wallnau: 2012, Statistics for the Behavioural Sciences (International edition), 9th, Wadsworth Publishing Co Inc.,
Pagano: 2006, Understanding Statistics in the Behavioural Sciences, 7th, ACADEMIC INTERNET PUBL,
0: NB: Any general statistics book will be useful in this course,

Other Resources

65261, Website, 0, Maths Centre website, http://www.mathcentre.ac.uk/, 65262, Website, 0, Stats tutor website, http://www.statstutor.ac.uk/, 65263, Website, 0, Maths tutor website, http://www.mathtutor.ac.uk/, 65264, Website, 0, Khan Academy website, https://www.khanacademy.org/,