Module Descriptors
MATHEMATICS FOR COMPUTING (D/L)
MATH40410
Key Facts
School of Creative Arts and Engineering
Level 4
15 credits
Contact
Leader: Russell Campion
Hours of Study
Scheduled Learning and Teaching Activities: 1
Independent Study Hours: 149
Total Learning Hours: 150
Assessment
  • CLASS TEST weighted at 100%
Module Details
Module Texts
For background reading only:
Math For Information Technology, Basta & DeLong, 2013, Delmar Cengage Learning, ISBN-13: 978-1111307929.

Mathematics in Computing: An Accessible Guide to Historical, Foundational and Application Contexts, O¿Regan, 2012, Springer, ISBN-13: 978-1447145332.

Foundation Mathematics, Stroud & Booth, 2009, Palgrave Macmillan, ISBN-13: 978-0230579071.
Module Special Admissions Requirements
This Distance Learning module is only available as part of a pre-agreed programme of defined study, on-campus students cannot select the module as an option or as an alternative to face-to-face study of a similar module.
Module Resources
None
Module Learning Strategies
You will be provided with material through an Electronic Distributed Learning Environment (for example Blackboard). The material will be presented via printable handouts and downloadable presentations. These will include worked examples illustrating the solutions to appropriate examples. It is important that you keep up-to-date with the schedule and work through the supporting exercises provided to ensure your understanding of the material and topics met. From time-to-time, it may be appropriate for there to be an additional on-campus introduction to the module for some deliveries.
Module Indicative Content
Propositional Logic - The basics and operators, truth tables, equivalence, valid arguments.
Matrices - The basics and operators, inverse of 2 x 2 matrix, solving systems of linear equations, linear transformations in 2 dimensions.
Elements of Set Theory - The basics concept and operators, Venn diagrams, the concept of a function and inverse functions for simple polynomials.
Functions - an introduction to low order polynomial, logarithmic, exponential functions. Solving simple equations involving these functions.
Introduction to Calculus - basic concepts including differentiation and integration of polynomial functions.
Probability - Rules of probability, Probability trees, Conditional Probability.
Descriptive Statistics - tabulating and charting data, averages, measures of spread.
Module Additional Assessment Details
A test comprising a suite of three 45 minute multiple choice on-line tests assessing Learning Outcomes 1-3.