# COMP206P - Mathematics and Statistics

**This database contains 2016-17 versions of the syllabuses.** For current versions please see here.

Code | COMP206P |
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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 |

# 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. |
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Statistics | Probability, descriptive statistics; discrete random variables; continuous random variables; statistical estimation; hypothesis testing. |

# Method of Instruction:

Lectures, problem classes and coursework

# Assessment:

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.

# Resources:

C Chatfield (1983) Statistics for Technology, 3rd Edition, Chapman and Hall

H Anton (1980) Calculus with Analytic Geometry, John Wiley and Sons