Module Title:   Statistics and Data Analysis

Module Credit:   20

Module Code:   CM-0226D

Academic Year:   2015/6

Teaching Period:   Semester 2

Module Occurrence:   A

Module Level:   FHEQ Level 4

Module Type:   Standard module

Provider:   Computer Science

Related Department/Subject Area:   School of Computing, Informatics and Media (Mathematics)

Principal Co-ordinator:   Dr Y Peng

Additional Tutor(s):   -

Prerequisite(s):   None

Corequisite(s):   None

Aims:
To encourage the acquisition of advanced skills of statistical data analysis and computational sciences. To introduce concepts and methodology behind statistical tests of significance and their application to data analysis.

Learning Teaching & Assessment Strategy:
A number of lectures, laboratory practices will provide essential theoretical knowledge, and practical skill. Practical examples will be provided to aid the learning. Discussion groups during laboratory sessions on each of the topics will enable critical engagement and analysis and application of the knowledge using the computer package of Matlab and/or R.

Lectures:   24.00          Directed Study:   150.00           
Seminars/Tutorials:   0.00          Other:   0.00           
Laboratory/Practical:   24.00          Formal Exams:   2.00          Total:   200.00

On successful completion of this module you will be able to...

formulate suitable statistical hypotheses concerning real-life phenomena, select and correctly apply an appropriate test procedure, and draw relevant conclusions.

On successful completion of this module you will be able to...

appreciate the need to plan an experiment and to consider well in advance an appropriate method of analysis and interpretation for the results.

On successful completion of this module you will be able to...

realise that science has a quantitative and an objective base.

  Coursework   25%
 
  2000 word report based on laboratory and assignment and original implementation/program development/test cases
  Examination - closed book 2.00 75%
 
  Examination - closed book 2 hours
  Examination - closed book 2.50 100%
 
  Supplementary Examination - closed book 2h 30 min

Outline Syllabus:
Summary and descriptive statistics.
Randomisation and sampling.
Statistical hypothesis tests.
Analysis of Variance.
Non-parametric test procedures.
Chi-squared goodness-of-fit tests

Version No:  1