8221 modules
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HLTH6204 2025-26
Diagnostic Assessment and Decision Making (Advanced Critical Care Practitioner)
Students will have completed the History Taking and Physical Assessment module which considers health assessment from a broad multi-professional viewpoint, focusing on discrimination between ‘normal’ vs ‘abnormal’ findings. This module will focus more specifically on variants from the normal (the pathophysiological) and explore the concept of clinical diagnosis. A variety of learning methods will bring students into contact with active clinicians, and with researchers who are engaged in constructing diagnostic tools. The module is based on the hypothesis that a critical understanding of both quantitative and qualitative aspects of clinical reasoning and decision making underpins diagnostic accuracy and skill. -
HLTH6203 2025-26
Diagnostic Assessment and Decision Making for Advanced Clinical Practice (Advanced Neonatal Nurse Practitioner)
This module will aim to increase your knowledge and understanding of the processes involved in diagnostic reasoning and clinical decision making ensuring that the neonate and their family are at the centre of care. -
HLTH6203 2026-27
Diagnostic Assessment and Decision Making for Advanced Clinical Practice (Advanced Neonatal Nurse Practitioner)
This module will aim to increase your knowledge and understanding of the processes involved in diagnostic reasoning and clinical decision making ensuring that the neonate and their family are at the centre of care. -
COMP6258 2026-27
Differentiable Programming and Deep Learning
Deep learning and differentiable programming has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of cheap GPGPU compute coupled with large datasets and some neat algorithms. This module will look at how deep learning works, from the theoretical foundations of the concepts of differentiable programming right through to practical implementation. -
COMP6258 2025-26
Differentiable Programming and Deep Learning
Deep learning and differentiable programming has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of cheap GPGPU compute coupled with large datasets and some neat algorithms. This module will look at how deep learning works, from the theoretical foundations of the concepts of differentiable programming right through to practical implementation. -
COMP6258 2028-29
Differentiable Programming and Deep Learning
Deep learning and differentiable programming has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of cheap GPGPU compute coupled with large datasets and some neat algorithms. This module will look at how deep learning works, from the theoretical foundations of the concepts of differentiable programming right through to practical implementation. -
COMP6258 2029-30
Differentiable Programming and Deep Learning
Deep learning and differentiable programming has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of cheap GPGPU compute coupled with large datasets and some neat algorithms. This module will look at how deep learning works, from the theoretical foundations of the concepts of differentiable programming right through to practical implementation. -
MATH6109 2025-26
Differential Geometry and Lie Groups
The module will begin by looking at differential manifolds and the
differential calculus of maps between manifolds. Manifolds are an abstraction of the idea of a smooth surface in Euclidean space. The module will then look at calculus on manifolds including the study of vector fields, tensor fields and the Lie derivative.
The module will then go on to study Riemannian geometry in general by showing how the metric may be used to define geodesics and parallel transport, which in turn may be used to define the curvature of a Riemannian manifold.
As another major application the module will investigate groups, such as the rotation group SO(3), which also have the structure of a manifold. Such objects are called Lie groups and play an important role in both theory and application of geometry. As an example of this we look at the symmetries of Riemannian manifolds. The isometries of a Riemannian metric form a group and the corresponding infinitesimal isometries form a Lie algebra. Another class of examples will be provided by matrix groups. -
MATH6109 2026-27
Differential Geometry and Lie Groups
The module will begin by looking at differential manifolds and the
differential calculus of maps between manifolds. Manifolds are an abstraction of the idea of a smooth surface in Euclidean space. The module will then look at calculus on manifolds including the study of vector fields, tensor fields and the Lie derivative.
The module will then go on to study Riemannian geometry in general by showing how the metric may be used to define geodesics and parallel transport, which in turn may be used to define the curvature of a Riemannian manifold.
As another major application the module will investigate groups, such as the rotation group SO(3), which also have the structure of a manifold. Such objects are called Lie groups and play an important role in both theory and application of geometry. As an example of this we look at the symmetries of Riemannian manifolds. The isometries of a Riemannian metric form a group and the corresponding infinitesimal isometries form a Lie algebra. Another class of examples will be provided by matrix groups. -
MATH6109 2028-29
Differential Geometry and Lie Groups
The module will begin by looking at differential manifolds and the
differential calculus of maps between manifolds. Manifolds are an abstraction of the idea of a smooth surface in Euclidean space. The module will then look at calculus on manifolds including the study of vector fields, tensor fields and the Lie derivative.
The module will then go on to study Riemannian geometry in general by showing how the metric may be used to define geodesics and parallel transport, which in turn may be used to define the curvature of a Riemannian manifold.
As another major application the module will investigate groups, such as the rotation group SO(3), which also have the structure of a manifold. Such objects are called Lie groups and play an important role in both theory and application of geometry. As an example of this we look at the symmetries of Riemannian manifolds. The isometries of a Riemannian metric form a group and the corresponding infinitesimal isometries form a Lie algebra. Another class of examples will be provided by matrix groups.