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Mathematics and Statistics

Note: Whilst every effort is made to keep the syllabus and assessment records correct for this course, the precise details must be checked with the lecturer(s).

Code:	2003
Year:	2
Prerequisites:	Years 1 and 2 of the Computer Science undergraduate degree programmes
Term:	1 and 2
Taught By:	Lewis Griffin (50%) Hilde Herbots (Department of Statistical Science) (50%)
Aims:	To provide a grounding in Mathematics and Statistics most relevant to a Computer Science undergraduate degree
Learning Outcomes:

Content:

Mathematics	Trig, exp and log; limits and continuity; revision of A-level calculus; further single and multivariate calculus; Fourier transforms.
Statistics	Probability, descriptive statistics; discrete random variables; continuous random variables; statistical estimation; hypothesis testing.

Method of Instruction:

Lectures, problem classes and coursework (4 pieces of coursework, each weighted equally)

Assessment:

The course has the following assessment components:

Written Examination ( 2.5 hours, 80%)
Coursework Section (3 pieces, 20%)

To pass this course, students must:

Obtain an overall pass mark of 40% for all sections combined

The examination rubric is:
Answer all 3 questions in part 1 (Mathematics) and all 3 questions in part 2 (Statistics). All questions carry equal marks.

Resources:

C Chatfield (1983) Statistics for Technology, 3rd Edition, Chapman and Hall

H Anton (1980) Calculus with Analytic Geometry, John Wiley and Sons

This page last modified: 26 May, 2010 by Nicola Alexander