Module Title:   Statistics

Module Credit:   20

Module Code:   CM-0132L

Academic Year:   2015/6

Teaching Period:   Semester 1

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 Ci Lei

Additional Tutor(s):   -

Prerequisite(s):   None

Corequisite(s):   None

To present an introduction to the fundamental concepts of statistics.

Learning Teaching & Assessment Strategy:
The basic theory and illustrative examples are presented and developed in formal lectures. Complementary tailor-made example sheets are provided. These are discussed, and assistance with their solution is provided in tutorials, either on a one-to-one basis or as a staff or student-led group, as appropriate.
This encourages the on-going digestion of the material, with the extent of the cumulative knowledge and skills acquired assessed through a coursework test and a formal examination.
During the second semester the students will undertake a group research project that will allow then to apply their statistical skills to a substantial set of data.

Lectures:   48.00          Directed Study:   124.50           
Seminars/Tutorials:   24.00          Other:   0.00           
Laboratory/Practical:   0.00          Formal Exams:   3.50          Total:   200.00

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

show an understanding of the theory and applications of statistics.

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

manipulate, display and analyze data using standard statistical techniques.

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

learn and work independently with patience and persistence using good general skills of organization and time-management, be adaptable with a readiness to assess problems from new areas logically through an analytical approach, write coherently and clearly communicate results. Work as part of a team towards a specific goal.

  Classroom test 2.00 10%
  Two 1-hour tests under examination conditions.
  Examination - closed book 1.50 50%
  Examination - closed book 1 hour and 30 minutes
  Coursework   40%
  Substantial group project

Outline Syllabus:
* Types of data. Principles of data collection and statistical bias. * Sample mean, mode, median, range and standard deviation. Data presentation: frequency, scatter, histograms, cumulative frequency curves, pie charts. * Probability models. Normal distribution hypothesis/significance testing, t-test, Mann-Whitney U test and chi-squared tests. Correlation coefficients. Line of best fit for linear relations.

Version No:  1