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Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title Mathematical and Statistical Methods
Module Code MS001
School DCUBS
Module Co-ordinatorSemester 1: Lorraine Delaney
Semester 2: Lorraine Delaney
Autumn: Lorraine Delaney
Module TeachersShirley O'Brien
Lorraine Delaney
Mary Sharp
Richard Bolger
NFQ level 8 Credit Rating 15
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
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



Workload Full-time hours per semester
Type Hours Description
Tutorial25Online tutorials are held on Saturdays and weekday evenings according to the timetable
Online activity30Interaction with tutor and fellow students
Assignment Completion73Work independently on assessments over the course of the academic year
Assessment Feedback10Processing and application of individual and general feedback received on each assignment submitted.
Independent Study235Reading course notes and recommended readings. Searching and studying web resources. Library work.
Directed learning2Examination
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 Assessment40% Examination Weight60%
Course Work Breakdown
TypeDescription% of totalAssessment Date
AssignmentWritten assignment10%n/a
AssignmentWritten assignment15%n/a
AssignmentWritten assignment15%n/a
Reassessment Requirement Type
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

  • 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

59342, Website, 0, Maths Centre website, http://www.mathcentre.ac.uk/, 59343, Website, 0, Stats tutor website, http://www.statstutor.ac.uk/, 59344, Website, 0, Maths tutor website, http://www.mathtutor.ac.uk/, 59345, Website, 0, Khan Academy website, https://www.khanacademy.org/,
Programme or List of Programmes
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HDMITHigher Dip Management of Information Tec
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ISDIPDiploma in Management of IT/IS
ITBSc in Information Technology
ITDIPDiploma in Information Technology
ITSDiploma/BSc in Information Technology
Date of Last Revision08-DEC-10
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