IT and statistics

Number of credits: 40

Entry requirements: The equivalent of GCE O-level or GCSE in Mathematics


The module aims to provide the students with an understanding of the basic principles of computing and statistics.

Outline content

The computing component emphasises the use and application of computers. The lecture course covers the basic aspects of hardware, software and applications and provides the essential background to the practical course which concentrates on providing the skills needed in industry and commerce today. Practical experience of word processing, spreadsheets, presentation graphics and writing web pages are all provided. The skills learned in computing are then applied to statistical problems. Topics covered include descriptive statistics, looking at both the presentation of data and numerical measures, and regression-correlation analysis. This is followed by inferential statistics, studying sampling methods, probability distributions and hypothesis testing, index numbers, rates of change and time series analysis.

Brief description of teaching and learning methods

The module comprises integrated lectures and practical sessions in the computer laboratory. Each student has individual access to a personal computer. The practical course provides experience of applications packages that are found on all modern computers and helps to develop skills that will be useful whatever degree programme is subsequently followed. Much of the statistics is taught using one such application.

Student views of this module

Eri Nakajima (Japan)
'I have chosen this module because I though that statistics skills are necessary for my intended degree course, Psychology. I also thought that IT technique is essential for my future career.
I have found that the IT practical classes are the most interesting part of the module because I can learn new techniques of word processing and Excel which are very useful for my essays and assignments for other modules.  Statistics is more challenging since we have to remember many formulas and apply them to complicated problems.
I would say to future students of this module that it is a very useful and practical module for almost all students since IT skills are the essential parts for most degrees.  I would also say that lots of effort will be needed for Statistics.'

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