Course Modules

Course Modules Post Type

Network Analysis

In recent years, interest in the theory of complex networks has exploded. The advent of social media and progress in artificial intelligence have made network analysis into an indispensable tool. In this course, you will study the mathematical theory that

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Practical Statistics

This module looks at the practice of statistics using real-world datasets and statistical software. Statistical methods such as hypotheses testing and regression analysis are applied to the real datasets, and the results interpreted and reported in a professional and academic

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Optimisation

This module explores the methods, theories, and applications of optimisation. You will study: Iterative Methods and errors Root finding Systems of linear equations Gaussian elimination Matrices and LU decomposition Vector and matrix norms Ill-conditioning Induced stability Systems of non-linear equations.

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Mathematics Project

As a result of initial planning and negotiation, a learning contract will be drawn up between individual students and the module co-ordinator. The content will, therefore, be negotiated in the light of identified needs.

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Calculus I

This module builds on the material covered at A level and introduces some new fundamental areas of mathematics. Differential Calculus will be extended and you will start the study of the applications of differentials, as you learn to apply these

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Calculus II

This module builds on the material covered at A level and introduces some new fundamental areas of mathematics. You will explore Integral Calculus in more detail and begin to study of the applications of integrals. These techniques will be applied

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Mathematical Analysis

The subject of mathematical analysis puts calculus on a rigorous foundation. The key concept underlying the whole course is that of “limit”. The purpose of analysis is to develop a solid understanding of when familiar techniques of calculus apply and

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