# COMP0011 Mathematics and Statistics

This database contains the 2018-19 versions of syllabuses.

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

 Academic session 2018-19 Module Mathematics and Statistics Code COMP0011 Module delivery 1819/A5U/T12/COMP0011 Undergraduate Related deliveries None Prior deliveries COMP206P Level Undergraduate FHEQ Level L5 FHEQ credits 15 Term/s Terms 1 and 2 Module leader Griffin, Lewis Contributors Griffin, LewisHerbots, Hilde Module administrator Ball, Louisa

## Aims

To provide a grounding in Mathematics and Statistics most relevant to a Computer Science undergraduate degree

## Learning outcomes

On successful completion of the module, a student will be able to:

1. apply concepts in mathematics and statistics to frame problems, and reason about them. Specific topics are detailed in the contents section.

## Availability and prerequisites

This module delivery is available for selection on the below-listed programmes. The relevant programme structure will specify whether the module is core, optional, or elective.

In order to be eligible to select this module as optional or elective, where available, students must meet all prerequisite conditions to the satisfaction of the module leader. Places for students taking the module as optional or elective are limited and will be allocated according to the department’s module selection policy.

 Programmes on which available: BSc Computer Science (Year 2) MEng Computer Science (International Programme) (Year 2) MEng Computer Science (Year 2) Prerequisites: In order to be eligible to select this module, student must have passed BSc/MEng Computer Science (Year 1)

## Content

### Mathematics

• Trig, exp and log
• Polynomials
• Limits and continuity
• Differential calculus of one and two variables
• Integration
• Series summation and power series
• Complex numbers
• Vector spaces

### Statistics

• Probability, descriptive statistics
• Discrete random variables
• Continuous random variables
• Statistical estimation
• Hypothesis testing

## Delivery

The module is delivered through lectures, problem classes, classroom tests and coursework.

## Assessment

This module delivery is assessed as below:

 # Title Weight (%) Notes 1 Written examination (2hrs 30mins) 80 2 Take home examination 1 5 3 Take home examination 2 5 4 In-class test 10

In order to pass this module delivery, students must:

• achieve an overall weighted module mark of at least 40%; and
• achieve a mark of at least 30% in any components of assessment weighed ≥ 30% of the module.

Where a component comprises multiple assessments, the minimum mark applies to the overall component.