9242 modules
Page 796
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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 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. -
MANG6122 2027-28
Simulation
This module provides a practical introduction to the theories and techniques of simulation. The approach taken is very broad and covers different forms of simulation, including discrete event simulation, system dynamics and agent-based modelling. The module focuses on practical applications of simulations in a variety of contexts, and students will gain expertise in simulation software. -
MANG6122 2026-27
Simulation
This module provides a practical introduction to the theories and techniques of simulation. The approach taken is very broad and covers different forms of simulation, including discrete event simulation, system dynamics and agent-based modelling. The module focuses on practical applications of simulations in a variety of contexts, and students will gain expertise in simulation software.