Aims:

This module aims to provide a grounding in Mathematics and Statistics most relevant to a Computer Science undergraduate degree.

Learning outcomes:

On...

Intermediate Mathematics for Computer Science (COMP0199)

Aims:

This module aims to provide a grounding in Mathematics and Statistics most relevant to a Computer Science undergraduate degree.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.
Content:

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.
	Measure Theory for Probabilities.
	Joint Probabilities and Marginal Distributions.
	Hypothesis Testing, Bootstrapping.
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.

Independent research project where students will be imbedded into research laboratories and engage in high quality analytical chemistry. Students will become...

Applied Analytical Chemistry Research Project (CHEM0083)

Independent research project where students will be imbedded into research laboratories and engage in high quality analytical chemistry. Students will become an active member of a research group, in a leading international university environment. This will culminate in an interim oral presentation and viva and a final dissertation.

Module Outline:

The aim of the course is to cover in depth the chemistry of three major classes of biologically important molecules; carbohydrates, peptides...

Chemistry of Biologically Important Molecules (CHEM0023)