11311 modules
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AICE2010 2028-29
Signals and Control
This module introduces the idea of signal analysis, and the mathematical concepts and methods used to classify, transform, and analyse signals. These fundamentals are then applied within then context of control, which is intended to give the students skills an knowledge to apply in many control scenarios - for example PID controllers. The course provides a route into more complex control modules in later years, in terms of both the mathematical theory and the ideas. -
OPTO6007 2030-31
Silicon Photonics
The course will present an introduction to guided waves, optical modes, and propagation characteristics of photonic circuits, using Silicon Technology by way of example. -
OPTO6007 2026-27
Silicon Photonics
The course will present an introduction to guided waves, optical modes, and propagation characteristics of photonic circuits, using Silicon Technology by way of example. -
OPTO6007 2027-28
Silicon Photonics
The course will present an introduction to guided waves, optical modes, and propagation characteristics of photonic circuits, using Silicon Technology by way of example. -
OPTO6007 2028-29
Silicon Photonics
The course will present an introduction to guided waves, optical modes, and propagation characteristics of photonic circuits, using Silicon Technology by way of example. -
OPTO6007 2029-30
Silicon Photonics
The course will present an introduction to guided waves, optical modes, and propagation characteristics of photonic circuits, using Silicon Technology by way of example. -
OPTO6007 2025-26
Silicon Photonics
The course will present an introduction to guided waves, optical modes, and propagation characteristics of photonic circuits, using Silicon Technology by way of example. -
RESM1002 2027-28
Simple Liars, Damned Liars and Experts: the use of empirical research in social science
A key skill of a social scientist is to be able to assess the quality of evidence presented based on strong methodological foundations. We need to understand what constitutes evidence, including how it can be produced, agreed, disputed, disseminated and misrepresented. In the era of sharing ‘facts’ on social media and ‘fake news’ it is vital that an appreciation of how evidence and expert opinion is developed. Everybody can seem like an expert on social media, but the ability to examine and evaluate the statements made is a skill that can be developed. Expertise is learnt through a grounding in evidence and understanding which evidence is sound and which is not. All social science researchers need the ability to judge the quality of research, both for academic research and in the wider world.
The module will follow on from the Semester 1 module ‘Understanding the Social World’ and explore issues around the generation and presentation of evidence. This will include assessing the quality of social science data, as well as further exploration of both qualitative and quantitative methods to obtain and analyse data. This module forms the basis to move to more detailed methodological training in future years of study. -
RESM1002 2025-26
Simple Liars, Damned Liars and Experts: the use of empirical research in social science
A key skill of a social scientist is to be able to assess the quality of evidence presented based on strong methodological foundations. We need to understand what constitutes evidence, including how it can be produced, agreed, disputed, disseminated and misrepresented. In the era of sharing ‘facts’ on social media and ‘fake news’ it is vital that an appreciation of how evidence and expert opinion is developed. Everybody can seem like an expert on social media, but the ability to examine and evaluate the statements made is a skill that can be developed. Expertise is learnt through a grounding in evidence and understanding which evidence is sound and which is not. All social science researchers need the ability to judge the quality of research, both for academic research and in the wider world.
The module will follow on from the Semester 1 module ‘Understanding the Social World’ and explore issues around the generation and presentation of evidence. This will include assessing the quality of social science data, as well as further exploration of both qualitative and quantitative methods to obtain and analyse data. This module forms the basis to move to more detailed methodological training in future years of study. -
RESM1002 2026-27
Simple Liars, Damned Liars and Experts: the use of empirical research in social science
A key skill of a social scientist is to be able to assess the quality of evidence presented based on strong methodological foundations. We need to understand what constitutes evidence, including how it can be produced, agreed, disputed, disseminated and misrepresented. In the era of sharing ‘facts’ on social media and ‘fake news’ it is vital that an appreciation of how evidence and expert opinion is developed. Everybody can seem like an expert on social media, but the ability to examine and evaluate the statements made is a skill that can be developed. Expertise is learnt through a grounding in evidence and understanding which evidence is sound and which is not. All social science researchers need the ability to judge the quality of research, both for academic research and in the wider world.
The module will follow on from the Semester 1 module ‘Understanding the Social World’ and explore issues around the generation and presentation of evidence. This will include assessing the quality of social science data, as well as further exploration of both qualitative and quantitative methods to obtain and analyse data. This module forms the basis to move to more detailed methodological training in future years of study.