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Description
Aims:
The module aims to provide a grounding in mathematics and statistics most relevant to a Computer Science undergraduate degree.
Intended learning outcomes:
On successful completion of the module, a student will be able to:
- Apply concepts in mathematics and statistics to frame problems听and reason about them.
Indicative content:
The following are indicative of the topics the module will typically cover:
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.
- Matrices.
- Linear Algebra.
Statistics:
- Probability, descriptive statistics.
- Discrete random variables.
- Continuous random variables.
- Statistical estimation.
- Hypothesis testing.
Requisites:
To be eligible to select this module as optional or elective, a student must 鈥媌e registered on a programme and year of study for which it is a formally available.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 8th April 2024.
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