Research Project: MRes Neuromuscular Disease (CLNE0031)

Building on basic module, you will learn more about disorders of consciousness, epilepsy and stroke. The topics include neurosurgical aspects, ischaemic...

Stroke, Epilepsy and Rehabilitation - Advanced (CLNE0018)

Building on basic module, you will learn more about disorders of consciousness, epilepsy and stroke. The topics include neurosurgical aspects, ischaemic vascular disease, haemorrhagic vascular disease, transient loss of consciousness and epilepsy, coma and sleep, neuro-rehabilitation. Learning is through online interactive lectures and will be facilitated through tutor and student interactions through the online forums.

On completion of the module, you will be able to apply the knowledge to form a differential diagnosis and plan management for common epilepsies and general management of stroke. You will be able to better diagnose patients presenting with disorders of consciousness.

Engineering Resilience|Engineering for International Development|Geohazards|Health|Safety and Wellbeing|Mathematical Modelling|Statistics

PROBABILISTIC MODELLING AND STATISTICAL ANALYSIS|RISK MANAGEMENT STRATEGIES|STRUCTURAL RELIABILITY

The reliability, risk, and resilience of engineered systems are becoming ever more critical considerations as the climate changes, human population grows, and...

Reliability, Risk and Resilience Engineering (CEGE0037)

The reliability, risk, and resilience of engineered systems are becoming ever more critical considerations as the climate changes, human population grows, and our societies become more urbanised. It is therefore crucially important that civil engineers are equipped with the appropriate tools necessary to quantify and maximise reliability, minimise risk, and enhance structural and infrastructural resilience as they work to shape the urban landscape in the coming years and decades. “Reliability, Risk and Resilience Engineering” addresses this specific challenge. The module provides a rigorous background on the concepts of reliability, risk, and resilience in the context of engineered systems. Real-life engineering examples are leveraged to explore the utility of reliability, risk and resilience analyses. Fundamental mathematical/statistical tools that underpin the three concepts are also covered. 

Learning Outcomes

Be able to apply common probability models and statistical analysis techniques used in Civil Engineering.
	Recognize and know how to assess the growing incertitude of engineered systems which must deal with the Climate Emergency amongst other safety, security and risk issues. This will include learning how to conduct basic portfolio-level regional catastrophe risk assessments.
	Distinguish between reliability, resilience, robustness and other aspects of engineered systems that must be strengthened in order to reduce the risk of interruptions to engineering solutions. This will involve learning how:
To compute first- and second-order estimates of failure probabilities for both individual components and systems;
	To use network analysis tools to determine system-level resilience 
Achieve technical skills required for MSc dissertations that use analytical methods or modelling techniques to investigate engineering problems