Statistics
20
CM-0132L
2015/6
Semester 1
A
FHEQ Level 4
Standard module
Computer Science
School of Computing, Informatics and Media (Mathematics)
Dr Ci Lei
-
None
None
To present an introduction to the fundamental concepts of statistics.
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.
Study Hours: | ||||||
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.
001. | Assessment Type | Duration | Percentage |
Classroom test | 2.00 | 10% | |
Description | |||
Two 1-hour tests under examination conditions. | |||
002. | Assessment Type | Duration | Percentage |
Examination - closed book | 1.50 | 50% | |
Description | |||
Examination - closed book 1 hour and 30 minutes | |||
003. | Assessment Type | Duration | Percentage |
Coursework | 40% | ||
Description | |||
Substantial group project |
* 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.
1