1. Understand basic descriptive statistics
2. Present data using appropriate charts and summary measures with the aid of statistical software
3. Understand basic set notation and probability.
4. Appreciate different types of numbers and number systems used in computing, and illustrate an understanding of Boolean algebra, applying it to simple logic circuits.

This module will also give you opportunity to demonstrate the following skills:

(a) Understanding of a specific body of knowledge and skills
(b) Analyse
(c) Synthesise information
(d) Present written and oral arguments in a clear and cogent manner
(e) Application of number appropriate to discipline or career needs

You will be introduced to basic mathematics and statistical techniques used in the area of computing/information systems. The statistics will consist of summarising and presenting data, with the emphasis on graphical methods and descriptive statistics such as measures of location and dispersion. A statistical package will be used during statistics practicals. Elementary probability will be covered and you will be introduced to formal set theory with the aid of Venn diagrams. The mathematical content will consist of types of numbers, number systems and converting to/from decimal numbers, Boolean algebra and truth tables.

A ASSIGNMENT weighted at 25%.
A ASSIGNMENT - SECOND ASSIGNMENT weighted at 25%.
A EXAMINATION - SEEN EXAMINATION IN EXAMINATION CONDITIONS length 1 HOUR(S) weighted at 50%.
@Semester R 2000 definition

Lectures (12 hours) to introduce the theory and illustrate techniques with the use of examples. Tutorials/computer practicals (12 hours) to allow you to practise similar examples with a tutor present and also to use the statistical software. Independent study time will be used for background reading to further practise the application of techniques.

Within this module you will be introduced to and/or be able to develop your

- Intellectual skills
- Communication
- Application of number
- Information Technology
- Personal skills for Lifelong Learning

Statistical Computer Package (e.g. SPSS)
Spreadsheet Package (e.g. Excel)

For background reading only:
The Active Practice of Statistics - David S. Moore (Freeman) 1997
Improve Your Maths - G. Bancroft & M. Fletcher (Addison-Wesley) 1998
Data Analysis using SPSS for Windows - Jeremy J. Foster (Sage) 1999
Mathematics for Computing - Robert Callan (Letts Educational) 1998

1. Statistics assignment (25%) (Learning outcome 2, a-e)
2. Mathematics assignment (25%) (Learning outcome 3,4, a,b,c,e)
3. Exam (50%) (Learning outcomes 1, 3 & 4, a,b,c,e)

IMPORTANT NOTE: In order to achieve a gradepoint 2 or higher in this module, you will need to get 25% or more in the exam regardless of your coursework marks. In addition, for a gradepoint 4 or higher, you will need to get 40% or more overall.