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Description
Aims:
This module aims to provide students with advanced mathematical tools and to (1) consolidate knowledge in Algebra analysis, Differential Calculus, Integral Calculus, Probabilities and Statistics; (2) introduce advanced methods making use of this knowledge in a practical manner; and (3) connect these notions with subsequent Computer Science modules.
Intended learning outcomes
On successful completion of this module, a student will be able to:
- Know and understand key results in the areas of Algebra, Calculus, Probability and Statistics.
- Apply problem solving methods which make use of the key results in the areas of Algebra, Calculus, Probability and Statistics.
- Apply these methods in modern areas of Computer Science such as: Artificial Intelligence, Computational Finance, and Computer Graphics.
Indicative content:
The following are indicative of the topics the module will typically cover:
- Optimisation.
- Convexity.
- Advanced Linear Algebra and Matrix Reduction.
- Number Theory and Arithmetic.
- Statistics and Sampling.
- Probabilistic Processes.
Requisites:
To be eligible to select this module as optional or elective, a student must be 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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