CH0ISJ-Information Systems and Statistics (January Entry)

Module Provider: Chemistry
Number of credits: 40 [20 ECTS credits]
Level:F
Terms in which taught: Spring / Summer term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2019/0

Module Convenor: Dr David Nutt

Email: d.nutt@reading.ac.uk

Type of module:

Summary module description:

To provide students with an appreciation of how information systems are used in real-life scenarios.

To provide students with an understanding of the basic principles of statistics which will support their learning during a subsequent degree programme.


Aims:

To appreciate how information systems are used in real-life scenarios. To gain an understanding of legal, social and ethical issues relating to the use of information systems.

To gain an understanding of the basic principles of statistics. To appreciate how statistics formulae are applied to real data.


Assessable learning outcomes:

By the end of this module students will 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:

Students will also be able to demonstrate a level of competence in the use of computer-based MS Office packages which will enable them to use these effectively during their intended degree.

Students will also be able to demonstrate sufficient understanding of statistics as a basis for further study as part of their intended degree.


Outline content:

In Information Systems, students are introduced to the use and application of computer-based systems. Topics covered include the role played by software and applications in a variety of environments (home, business, etc.), and also accessibility, health and safety, system security, data protection and legal issues. Practical experience of word processing, spreadsheets, presentation graphics and databases is provided.



In Statistics, students are introduced to quantitative methods and techniques considered important by many other disciplines. Topics covered incorporate 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 tutorials in which students solve statistical problems.


Brief description of teaching and learning methods:

The module will be taught through a series of integrated lectures, tutorials and computer-based practical sessions. Tutorials allow students to work through examples at their own pace. Practical sessions are held in the computer laboratory where each student has individual access to a personal computer.

This module is taught across three terms:




  • Term 1: Spring term

  • Term 2: Summer term

  • Term 3: Summer vacation



It should be noted that the Contact Hours shown in the following table for the Summer term are the total hours for Terms 2 and 3


Contact hours:
  Autumn Spring Summer
Lectures 20 30
Practicals classes and workshops 30 45
Guided independent study: 110 165
       
Total hours by term 160 240
       
Total hours for module 400

Summative Assessment Methods:
Method Percentage
Written exam 60
Project output other than dissertation 20
Class test administered by School 20

Summative assessment- Examinations:

2 x 1.5 hours

Statistics component: 1 x 1.5 hour exam = 36% of the overall module mark

Information systems component: 1 x 1.5 hour exam = 24% of the overall module mark


Summative assessment- Coursework and in-class tests:

Statistics coursework components: Term 1 coursework 6%, Term 2 coursework 6%, Term 1 end of term test 6% and Term 2 end of term test 6% = 24% of the overall module mark.

Information systems coursework components: Term 1 coursework 4%, Term 2 coursework 4%, Term 1 end of term test 4%, and Term 2 end of term test 4% = 16% of the overall module mark.


Formative assessment methods:

Regular tutorial classes on problems of the type encountered in examinations. Optional surgery (drop-in) sessions.


Penalties for late submission:
The Module Convener will apply the following penalties for work submitted late:

  • where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day[1] (or part thereof) following the deadline up to a total of five working days;
  • where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

  • The University policy statement on penalties for late submission can be found at: http://www.reading.ac.uk/web/FILES/qualitysupport/penaltiesforlatesubmission.pdf
    You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

    Assessment requirements for a pass:

    40%


    Reassessment arrangements:

    By examination in August with continuous assessment carried forward if it is to the advantage of the student.


    Additional Costs (specified where applicable):

    1) Required text books:




    • ' Edexcel AS and A Level Modular Mathematics - Statistics 1’ by Pledger, Clegg and Gardner. ISBN-10: 0435519123, ~£17

    • 'Cambridge IGCSE ICT' by Graham Brown, Brian Sargent & Dave Watson, 2nd Edition (2015), Hodder Education, ISBN 9781471807220 (~£18)

    • 'Information and communication technology for AQA AS level' by Julian Mott, Anne Leeming & Helen Williams, 3rd Edition (2008), Hodder Education, ISBN 9781299982574 (~£37)



    2) Specialist equipment or materials: Scientific Calculator (non-programmable), £10.00



     


    Last updated: 10 April 2019

    THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.

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