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Professional, Ethical and Legal Challenges in Nursing
Module code: NU4012 Nurses face many difficult challenges in their day to day work – these can encompass professional, legal and ethical challenges.
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Love at Leicester
https://le.ac.uk/news/2018/april/love-at-leicester
A couple who met and fell in love while studying at Leicester has named their son Lester.
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Computer Science Project
Module code: CO3201 Your Computer Science Project is a chance to combine the knowledge and skills you have gained throughout your degree.
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Computer Science Project
Module code: CO3201 Your Computer Science Project is a chance to combine the knowledge and skills you have gained throughout your degree.
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Farhat Syyeda
The academic profile of Dr Farhat Syyeda, Lecturer in Education at University of Leicester
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Advanced Statistical Modelling (Part-time)
Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.
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Advanced Statistical Modelling (Full-time)
Module code: MD7444 Survival analysis Survival analysis is concerned with data where we measure the time to an event. In medicine we are often interested in death, i.e. we want to keep people alive and make them live longer.
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Advanced Statistical Modelling (Full-time)
Module code: MD7444 Survival analysis Survival analysis is concerned with data where we measure the time to an event. In medicine we are often interested in death, i.e. we want to keep people alive and make them live longer.
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Advanced Statistical Modelling (Part-time)
Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.
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Advanced Statistical Modelling (Full-time)
Module code: MD7444 Survival analysis Survival analysis is concerned with data where we measure the time to an event. In medicine we are often interested in death, i.e. we want to keep people alive and make them live longer.