COMP206P - Mathematics and Statistics
This database contains 2016-17 versions of the syllabuses. For current versions please see here.
|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; 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.|
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.
C Chatfield (1983) Statistics for Technology, 3rd Edition, Chapman and Hall
H Anton (1980) Calculus with Analytic Geometry, John Wiley and Sons