Registry

Module Specifications

Archived Version 2019 - 2020

Module Title	Mathematical and Statistical Methods
Module Code	MS001
School	Open Education
Online Module Resources
Module Co-ordinator	Dr. Eamon Costello	Office Number	DG03
NFQ level	8	Credit Rating	15
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

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	Face-to-face tutorials are held in DCU on Saturdays and online tutorials on weekday evenings according to the timetable
Online activity	40	Interaction with tutor and fellow students
Assignment Completion	90	Work independently on assignments over the course of the academic year
Assessment Feedback	15	Processing and application of individual and general feedback received on each assignment submitted.
Independent Study	200	Reading course notes and recommended readings. Searching and studying web resources. Library work.
Directed learning	3	Examination
Total Workload: 373

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	100%	Examination Weight	0%

Type	Description	% of total	Assessment Date
Course Work Breakdown

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
Unavailable

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

27659, Website, 0, Maths Centre website, http://www.mathcentre.ac.uk/, 27660, Website, 0, Stats tutor website, http://www.statstutor.ac.uk/, 27661, Website, 0, Maths tutor website, http://www.mathtutor.ac.uk/, 27662, Website, 0, Khan Academy website, https://www.khanacademy.org/,

Programme or List of Programmes

CCCT	Cert. in Comp & Comm Technology
HDMIT	Higher Dip Management of Information Tec
IS	BSc in Management of Info Tech/Info Syst
ISDIP	Diploma in Management of IT/IS
IT	BSc in Information Technology
ITDIP	Diploma in Information Technology
ITS	Diploma/BSc in Information Technology

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