COMP206P - Mathematics and Statistics

This database contains the 2017-18 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).

Code COMP206P
Year 2
Prerequisites Year 1 of the Computer Science undergraduate degree programme
Term 1 and 2
Taught By Lewis Griffin (Department of Computer Science) (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



  • 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


  • Probability, descriptive statistics
  • discrete random variables
  • continuous random variables
  • statistical estimation
  • hypothesis testing

Method of Instruction

Lectures, problem classes and coursework


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 components combined;
  • Obtain a minimum mark of 30% in each component worth ≥ 30% of the module as a whole.


Reading list available via the UCL Library catalogue.