11332 modules
Page 268
-
LING2013 2027-28
Corpus Linguistics: Working with Large-scale Text Data
In this module, we introduce corpus linguistics as an approach to and method for analysing large-scale text data. We will develop an understanding of building and curating datasets, annotating data, and using quantitative and statistical measures for text analysis. We will explore the uses, advantages and disadvantages of applying semi-automated methods in research. As we move through the module, we will experience each step of the process of doing research with large-scale text data, considering the choices we make in research and how we can justify them in light of our aims. -
LING2013 2026-27
Corpus Linguistics: Working with large-scale text data
In this module, we introduce corpus linguistics as an approach to and method for analysing large-scale text data. We will develop an understanding of building and curating datasets, annotating data, and using quantitative and statistical measures for text analysis. We will explore the uses, advantages and disadvantages of applying semi-automated methods in research. As we move through the module, we will experience each step of the process of doing research with large-scale text data, considering the choices we make in research and how we can justify them in light of our aims. -
PHYS6005 2028-29
Cosmology and the Early Universe
Modern cosmology is a fascinating and fast-developing field, with intense research activity fuelled by major discoveries made in the last decade. These have overturned our understanding of the Universe’s properties and established a new standard cosmological model that, however, poses challenging puzzles for fundamental physics, such as the nature of Dark Matter, the current acceleration of the Universe’s expansion and the occurrence of an inflationary stage in the first moments of the Universe. The course will draw upon a diverse range of core physics material as well as introducing new physics; it will not require specialist astronomical knowledge. -
PHYS6005 2027-28
Cosmology and the Early Universe
Modern cosmology is a fascinating and fast-developing field, with intense research activity fuelled by major discoveries made in the last decade. These have overturned our understanding of the Universe’s properties and established a new standard cosmological model that, however, poses challenging puzzles for fundamental physics, such as the nature of Dark Matter, the current acceleration of the Universe’s expansion and the occurrence of an inflationary stage in the first moments of the Universe. The course will draw upon a diverse range of core physics material as well as introducing new physics; it will not require specialist astronomical knowledge. -
PHYS6005 2030-31
Cosmology and the Early Universe
Modern cosmology is a fascinating and fast-developing field, with intense research activity fuelled by major discoveries made in the last decade. These have overturned our understanding of the Universe’s properties and established a new standard cosmological model that, however, poses challenging puzzles for fundamental physics, such as the nature of Dark Matter, the current acceleration of the Universe’s expansion and the occurrence of an inflationary stage in the first moments of the Universe. The course will draw upon a diverse range of core physics material as well as introducing new physics; it will not require specialist astronomical knowledge. -
PHYS6005 2029-30
Cosmology and the Early Universe
Modern cosmology is a fascinating and fast-developing field, with intense research activity fuelled by major discoveries made in the last decade. These have overturned our understanding of the Universe’s properties and established a new standard cosmological model that, however, poses challenging puzzles for fundamental physics, such as the nature of Dark Matter, the current acceleration of the Universe’s expansion and the occurrence of an inflationary stage in the first moments of the Universe. The course will draw upon a diverse range of core physics material as well as introducing new physics; it will not require specialist astronomical knowledge. -
MEDI6236 2027-28
Counselling skills in genomics for health care professionals
This module gives an introduction to the theory and practice of genomic counselling. It will equip students with the knowledge, communication and counselling skills, appropriate attitudes and behaviours towards the diagnosis and management of patients whose care will be influenced by genomic investigations.
Given the interactive nature of the module, in-person attendance is essential for successful completion of the module. -
MEDI6236 2026-27
Counselling skills in genomics for health care professionals
This module gives an introduction to the theory and practice of genomic counselling. It will equip students with the knowledge, communication and counselling skills, appropriate attitudes and behaviours towards the diagnosis and management of patients whose care will be influenced by genomic investigations.
Given the interactive nature of the module, in-person attendance is essential for successful completion of the module. -
MEDI6236 2025-26
Counselling skills in genomics for health care professionals
This module gives an introduction to the theory and practice of genomic counselling. It will equip students with the knowledge, communication and counselling skills, appropriate attitudes and behaviours towards the diagnosis and management of patients whose care will be influenced by genomic investigations.
Given the interactive nature of the module, in-person attendance is essential for successful completion of the module. -
GENG0015 2027-28
Coursework
Engineering is built on experimentation, evidence, and digital technologies. This module develops the practical laboratory and computational skills that underpin modern engineering, helping you build confidence in collecting and analysing data, solving engineering problems, and communicating technical information professionally.
Through hands-on laboratory activities, you will develop practical skills in measurement, experimental techniques, data analysis, and engineering judgement while learning how to evaluate the accuracy, reliability, and quality of experimental results. Alongside this, you will gain experience of computational thinking, introductory programming in Python, collaborative software development, and the use of digital tools to support engineering investigations. Working individually and in teams, you will also strengthen your technical communication, teamwork, and professional laboratory practice.
By the end of the module, you will have developed the practical, digital, and professional foundations needed for successful engineering study. These skills will prepare you for laboratory work, programming, design projects, and evidence-based problem solving throughout your degree and future engineering career