8214 modules
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GGES3016 2027-28
Desert Landscapes: Modelling and Measuring Aeolian Systems
Some of the biggest uncertainties in climate change predictions come from our lack of understanding of the impact of some of the smallest airborne dust particles. These dust particles are transported between continents from some of the hottest and most unpopulated regions on our planet, and potentially end up fertilising tropical rain forests or ocean algal blooms. Yet, even in the harshest of desert environments, vegetation or bacteria may still exist, and help to shape the windy landscapes that they reside in. Landscapes where wind-blown sand forms some of the most exquisite, self-organised patterns visible on satellite images and recognisable on other planets. -
ELEC2300 2026-27
Design
Conventional laboratory experiments are useful mainly to assist understanding or analysis. Because they are of necessity stereotyped, they are of limited usefulness when a circuit or system must be designed to meet a given specification. The majority of engineering tasks fall into this latter category, and therefore require design or synthesis skills, in addition to the understanding of underlying engineering principles.
This module includes individual and team design exercises devised to provide a bridge between 'conventional' experiments and the project work in the third and fourth years, (which in turn provide a bridge to 'real' projects in industry). The exercise has real deadlines and concrete deliverables and students are encouraged to be creative, develop imaginative solutions and to make mistakes.
Exercises share common characteristics:
• Customer orientated rather than proscriptive specifications are given
• Design work carried out, bringing academic knowledge to bear on practical problems
• Laboratory sessions are used for development/ construction/ verification of designs
• Allow students to demonstrate their communication skills in writing individual and group reports/presentations. -
ELEC2300 2027-28
Design
Conventional laboratory experiments are useful mainly to assist understanding or analysis. Because they are of necessity stereotyped, they are of limited usefulness when a circuit or system must be designed to meet a given specification. The majority of engineering tasks fall into this latter category, and therefore require design or synthesis skills, in addition to the understanding of underlying engineering principles.
This module includes individual and team design exercises devised to provide a bridge between 'conventional' experiments and the project work in the third and fourth years, (which in turn provide a bridge to 'real' projects in industry). The exercise has real deadlines and concrete deliverables and students are encouraged to be creative, develop imaginative solutions and to make mistakes.
Exercises share common characteristics:
• Customer orientated rather than proscriptive specifications are given
• Design work carried out, bringing academic knowledge to bear on practical problems
• Laboratory sessions are used for development/ construction/ verification of designs
• Allow students to demonstrate their communication skills in writing individual and group reports/presentations. -
HLTH6200 2025-26
Design & Methods for Clinical and Health Research
This module is suitable for students who are planning to conduct an empirical project for their dissertation, those who work in clinical and health research settings and those who wish to develop their knowledge and understanding of design and methods for clinical and health research. It forms a basis for other research modules comprising the MRes programme. Learning is shared with the doctoral training programme.
Having successfully completed this module, you will be able to:
LO1.Critically appraise and integrate a wide range of literature related to your area of research, both from a scientific and a pragmatic perspective, and in the context of a health care environment
LO2.Identify questions or topics relating to your area of practice and carry out a comprehensive literature search
LO3.Demonstrate an understanding of relevant research design and methods through critical appraisal of selected literature
LO4.Critically evaluate relevant research evidence and synthesise recommendations for your area of research or practice
LO5.Identify and justify appropriate and feasible research question(s). -
HLTH6200 2026-27
Design & Methods for Clinical and Health Research
This module is suitable for students who are planning to conduct an empirical project for their dissertation, those who work in clinical and health research settings and those who wish to develop their knowledge and understanding of design and methods for clinical and health research. It forms a basis for other research modules comprising the MRes programme. Learning is shared with the doctoral training programme.
Having successfully completed this module, you will be able to:
LO1.Critically appraise and integrate a wide range of literature related to your area of research, both from a scientific and a pragmatic perspective, and in the context of a health care environment
LO2.Identify questions or topics relating to your area of practice and carry out a comprehensive literature search
LO3.Demonstrate an understanding of relevant research design and methods through critical appraisal of selected literature
LO4.Critically evaluate relevant research evidence and synthesise recommendations for your area of research or practice
LO5.Identify and justify appropriate and feasible research question(s). -
MATH3014 2027-28
Design and Analysis of Experiments
A well-designed experiment is an efficient way of learning about the world. Typically, an experiment may involve varying several factors and observing the value of a response at settings of combinations of values of these factors. The mathematical challenge is then to choose which settings to use in order to gain the maximum information from the resulting data.
Experiments are performed in all branches of science, engineering and industry. In recent years, traditional application areas such as agriculture, manufacturing, medicine and pharmaceutical science
have been joined by bioinformatics, genetics, drug discovery, finance and economics. Problems of increasing size and complexity from these new areas have led to the development of many new
methods for designing and analysing experiments. The aim of this module is to provide a grounding in the statistical and mathematical methods that underpin the design and analysis of experiments, before exploring a number of areas where recent and ongoing developments are taking place. Mathematical criteria for quantifying the information available from a given design will be defined and explored, and will underpin much of the material in the module. -
MATH3014 2028-29
Design and Analysis of Experiments
A well-designed experiment is an efficient way of learning about the world. Typically, an experiment may involve varying several factors and observing the value of a response at settings of combinations of values of these factors. The mathematical challenge is then to choose which settings to use in order to gain the maximum information from the resulting data.
Experiments are performed in all branches of science, engineering and industry. In recent years, traditional application areas such as agriculture, manufacturing, medicine and pharmaceutical science
have been joined by bioinformatics, genetics, drug discovery, finance and economics. Problems of increasing size and complexity from these new areas have led to the development of many new
methods for designing and analysing experiments. The aim of this module is to provide a grounding in the statistical and mathematical methods that underpin the design and analysis of experiments, before exploring a number of areas where recent and ongoing developments are taking place. Mathematical criteria for quantifying the information available from a given design will be defined and explored, and will underpin much of the material in the module. -
PHYS2011 2027-28
Design and Observation in Astronomy
The course takes place during the Easter vacation at La Laguna University, Tenerife, Spain.
The course consists of two separately assessed modules.
Module 1 is a one week design study of an astronomical spacecraft.
Module 2 is a week of practical observations at the Teide Observatory using optical and infra-red telescopes involving both solar and night-time observations.
Due to space limitations at the observatory, only 12 students can take part in this module. Offers to participate are made only to the 12 academically strongest students registered on the MPhys with Astronomy Programme, based on performance in Year 1. Academic performance will be judged by the credit-weighted Year 1 average, using only marks obtained at the first attempt (i.e. no referral marks).
Only students registered on the MPhys with Astronomy programme by the end of the summer term of their first year will be considered for invitation onto this module. -
PHYS2011 2026-27
Design and Observation in Astronomy
The course takes place during the Easter vacation at La Laguna University, Tenerife, Spain.
The course consists of two separately assessed modules.
Module 1 is a one week design study of an astronomical spacecraft.
Module 2 is a week of practical observations at the Teide Observatory using optical and infra-red telescopes involving both solar and night-time observations.
Due to space limitations at the observatory, only 12 students can take part in this module. Offers to participate are made only to the 12 academically strongest students registered on the MPhys with Astronomy Programme, based on performance in Year 1. Academic performance will be judged by the credit-weighted Year 1 average, using only marks obtained at the first attempt (i.e. no referral marks).
Only students registered on the MPhys with Astronomy programme by the end of the summer term of their first year will be considered for invitation onto this module. -
EDUC6538 2026-27
Design and Production of Online Learning
The third module is focused on the design and production of online learning across a series of lessons or learning sessions such as a module or curriculum. You will be given an opportunity to consider the issues around sequencing of learning, formative, and summative assessment, how to provide experiential online learning and how to produce online learning material including responsible use of AI to support the design and production of courses. The module will consider ways in which you can apply learning theory and pedagogy to your learning design and practice. You will learn how to support students as a tutor, how to reinforce learning, and provide for differentiation and progression across a series of lessons. Themes in the previous module will be developed further as we consider wider issues of learning design and creating a climate conducive to learning.