11336 modules
Page 310
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GGES3016 2030-31
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. -
GGES3016 2029-30
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. -
GGES3016 2028-29
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. -
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. -
ELEC2300 2028-29
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). -
HLTH6200 2027-28
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).