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, Lewis

Herbots, 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

An indicative reading list is available via http://readinglists.ucl.ac.uk/departments/comps_eng.html.

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 40.00%;

AND, when taken as part of BSc Computer Science; MEng Computer Science, and MEng Mathematical Computation:

  • achieve a mark of at least 30.00% in any Components of assessment weighed ≥ 30% of the module.

Where a Component comprises multiple Assessment Tasks, the minimum mark applies to the overall component.