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Description
Aims:
This 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:
- Reason about series of functions and multivariate functions.
- Employ numerical methods to solve mathematical problems.
- Decompose and study the properties of matrices and vector spaces.
- Model probabilities using measure theory.
- Use advanced statistical methods to reason about hypotheses.
Indicative content:
The following are indicative of the topics the module will typically cover:
Mathematics:
- Sequences and Series of Functions.
- Multivariate Differential Calculus.
- Optimisation.
- Numerical Methods.
- Eigenvalues and Matrix reduction.
- Euclidian Spaces and Orthogonal Matrices.
Statistics:
- Continuous Random Variables.
- Joint Probabilities and Marginal Distributions.
- Hypothesis Testing, Bootstrapping.
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 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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