Module

Module texts:

• Rowntree,D.  Statistics Without Tears: a primer for non-mathematicians, Penguin
• Chandler, J. T. and Jackson,R., Exploring Probability and Statistics with Spreadsheets, Prentice Hall
• Gersting,J.L., Mathematical Structures for Computer Science, W.H. Freeman

Other references:

Other course materials and references will be made available during the module.

Suggestions for suitable practical workshop exercises can be found in:

• Charlton,J. and Williamson,R.,  Practical Exercises in Applied Statistics, OUP
• Rosen,K.,  Discrete Mathematics and its Applications, McGrawHill

Submission:

Written coursework should be submitted by following the standard CMP practice. Students are advised to refer to the Guidelines and Hints on Written Work in CMP.

Deadlines:

If coursework is handed in after the deadline day or an agreed extension:

Saturdays and Sundays will NOT be taken into account for the purposes of calculation of marks deducted.

All extension requests will be managed through the LTS Hub. A request for an extension to a deadline for the submission of work for assessment should be submitted by the student to the appropriate Learning and Teaching Service Hub, prior to the deadline, on a University Extension Request Form accompanied by appropriate evidence. Extension requests will be considered by the appropriate Learning and Teaching Service Manager in those instances where (a) acceptable extenuating circumstances exist and (b) the request is submitted before the deadline. All other cases will be considered by a Coursework Coordinator in CMP.

For more details, including how to apply for an extension due to extenuating circumstances download Submission for Work Assessment (PDF, 39KB)
 

Plagiarism:

Plagiarism is the copying or close paraphrasing of published or unpublished work, including    the work of another student; without due acknowledgement. Plagiarism is regarded a serious offence by the University, and all cases will be investigated. Possible consequences of plagiarism include deduction of marks and disciplinary action, as detailed by UEA's Policy on Plagiarism and Collusion.

Module specific:

The objectives of this module are to give students an:

• Ability to analyse problems, by formulating them mathematically and solving them using the techniques covered in the module
• Introduction to number representation for computing
• Introduction to concepts of probability
• Knowledge of a range of descriptive and analytical statistical methods
• Appreciation of the use, misuse and interpretation of statistics
• Experience of analysing data

Transferable skills:

Students will gain:

• Experience of experimental design, hypothesis formulation and testing
• Improved mathematical competence
• Improved communications skills
• Improved problem-solving, amthematical and presentation skills
• Knowledge and understanding of simple sampling and experimental technique

On completion of this module students should be able to:

• Understanding of sets, relations and functions and their use in computing
• Understanding of propositional logic and its applications in computing
• Understanding of computer representation of numbers
• Knowledge and understanding of the concepts of probability
• Knowledge of data collection, sampling, experiment design 
• Knowledge and understanding of some common symbolic and visual data methods and statistical tests
• Knowledge of simple algorithm design and analysis

Total hours: 44

Lectures: 33 hours ( with provisional weekly schedule)

1. Sets, Relations and Functions
2. Sets, Relations and Functions
3. Sets, Relations and Functions
4. Sets, Relations and Functions, Introduction to propositional logic
5. Introduction to propositional logic
6. Introduction to propositional logic, Computing and numbers
7. Discrete probability (for students who did not do CMPC1F01, or CMPC1F03)
8. Computing and numbers
9. Statistics
10. Statistics
11. Statistics

Workshops: 11 hours