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Module Descriptions

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UoR Home > Module Descriptions > CH0CST: Information Technology and Statistics

CH0CST: Information Technology and Statistics

Module Provider:

Chemistry, School of Chem, FoodBi and Pharm

Number of credits:

40 [20 ECTS credits]

Level:

0

Terms in which taught:

Autumn, Spring and Summer

Module Convenor:

Dr RJ Hobson

Pre-requisites:

The equivalent of GCE O-level or GCSE in Mathematics

Co-requisites:

Modules excluded:

MA0FMC or CH0STA or CS0CSC

Module version for:

2006/7

Aims:
The module aims to provide the students with an understanding of the basic principles of IT and statistics which will support their learning during their subsequent degree programme.

Assessable learning outcomes:
By the end of the module students should be able to

  • Demonstrate an understanding of the topics outlined below to a standard equivalent to A level.
  • Be able to answer questions to the same standard on any of the topics outlined below.

  • Additional outcomes:
    On completion of the module, students will be expected both to have reached a level of competence in the use of standard office packages which will enable them to use these effectively during their degree programme and to have sufficient basic understanding of statistics for many degree programmes or as a basis for further study.

    Outline content:
    The IT component emphasises the use and application of computers. The lecture course covers the basic aspects of ICT systems including the role played by ICT, software and applications, the user interface, data capture, databases, accessibility, health and safety, and data protection. Practical experience of word processing, spreadsheets, presentation graphics and databases is provided.
    The statistics component covers descriptive statistics such as representation of sample data, measures of location, measures of dispersion, probability, and regression and correlation. The lectures combine statistical theory with worked examples and there are practical sessions in which students solve statistical problems.

    Brief description of teaching and learning methods:
    The module comprises integrated lectures and practical sessions. Theory classes incorporate working in small groups and class discussions. Practical sessions are held in the computer laboratory where each student has individual access to a personal computer. Weekly homework exercises in both IT and statistics will help to enhance understanding and provide feedback on written work.

    Contact hours:

      Autumn Spring Summer
    Lectures 3 per week 3 per week 3 per week
    Tutorials/seminars Weekly surgery hour for individual assistance as required Weekly surgery hour for individual assistance as required Weekly surgery hour for individual assistance as required
    Practicals 2 per week 2 per week 2 per week
    Other contact (eg study visits)      
           
    Total hours 50 50 50
           
    Number of essays or assignments A statistics exercise. ICT project (part 1). A statistics exercise. ICT project (part 2).  
    Other (eg major seminar paper)      

    Assessment:
    Coursework
    A statistics exercise in both the Autumn and Spring term. An ICT project spanning the Autumn and Spring term.
    Relative percentage of coursework : ICT project, 10%. Two statistics exercises, 5% each. Total 20%.
    Penalties for late submission
    To be imposed in accordance with University policy.
    Examinations
    One one and a half hour examination in Computing (40%) and one one and a half hour examination in Statistics (40%).
    Requirements for a pass
    40%
    Reassessment arrangements
    By examination in September. Previously assessed coursework will be carried forward if this is to the advantage of the student.

    Page last updated 16/Jan/2007
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