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Modern macroeconomic research in academic, government and other institutions relies heavily on using numerical methods to simulate economic models and generate counterfactual outcome for policy analysis. This odule will familiarise the students with numerical methods that are state-of-the-art in macroeconomic research.

Modern macroeconomic research in academic, government and other institutions relies heavily on using numerical methods to simulate economic models and generate counterfactual outcome for policy analysis. This odule will familiarise the students with numerical methods that are state-of-the-art in macroeconomic research.

Mathematical models of complex phenomena are everywhere, from climate, to gravity, to industry. Most are complex, multi-dimensional sets of partial differential equations. The analytic solution of these equations is often impractical or impossible. This module will cover the numerical solution and analysis of a range of partial differential equations, with a focus on applications in fluid dynamics and climate modelling.

Mathematical models of key physical phenomena rely on nonlinear Partial Differential Equations, from industry to astrophysics to climate modelling. Detailed understanding of the solutions to these models requires, in general cases, numerical modelling. This module will introduce numerical methods for PDEs, together with analysis techniques for their stability and accuracy..

Mathematical models of key physical phenomena rely on nonlinear Partial Differential Equations, from industry to astrophysics to climate modelling. Detailed understanding of the solutions to these models requires, in general cases, numerical modelling. This module will introduce numerical methods for PDEs, together with analysis techniques for their stability and accuracy..

Mathematical models of key physical phenomena rely on nonlinear Partial Differential Equations, from industry to astrophysics to climate modelling. Detailed understanding of the solutions to these models requires, in general cases, numerical modelling. This module will introduce numerical methods for PDEs, together with analysis techniques for their stability and accuracy..

This module develops your knowledge and understanding of the causal relationship between nutrition, activity and health and the need to consider nutritional related problems in the context of global strategic ambitions, including the Sustainable Development Goals.

This module develops your knowledge and understanding of the causal relationship between nutrition, activity and health and the need to consider nutritional related problems in the context of global strategic ambitions, including the Sustainable Development Goals.

This module develops your knowledge and understanding of the causal relationship between nutrition, activity and health and the need to consider nutritional related problems in the context of global strategic ambitions, including the Sustainable Development Goals.

The module will start with an introductory session on common research techniques used in Biomedical Science.

This will be followed by sessions covering the following topics:

1. Nutrition, muscle function and health (2 sessions)
2. Gut microbiota as a link between diet and health
3. Adipose tissue biology and immunometabolism (2 sessions)
4. Nutrition and immunity across the life course
5. Omega-3 for optimal health across the life course (2 sessions)

The sessions will combine a seminar and general discussion in order to clarify any points and to frame any questions arising from the lecture that the students find interesting.

Prior to each topic, a relevant primary research publication and supporting documentation that exemplifies research in the subject area will be provided. Students should read the paper prior to attending the session and pay particular attention to the methods section to ensure they are familiar with the basic principles of the techniques and/or any confusing abbreviations used. Methodological queries will be discussed at the session.

For topics 1, 3 and 5, one or more students, depending on class numbers, will be designated to prepare an oral presentation on the selected paper for the following week. The presentation will comprise the paper and background questions arising from the article or the seminar. All students will be expected to join in the discussion of the paper during and after each presentation, although only those students who are presenting will be assessed. Presenting students will be expected to research other articles to introduce concepts in the paper. All students will be expected to research other articles to bring to the general discussion of the selected paper.

For topics 2 and 4, all students will write a critical appraisal of a selected paper stating the hypothesis and summarising the background, methods used, results and conclusions with comment on strengths, weaknesses and any new questions arising as a consequence of the paper. There will be no oral presentation for these topics.