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).
|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|
- Trig, exp and log
- limits and continuity
- differential calculus of one and two variables
- 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.