| 1 | <p>Develop an understanding of the different approaches to relating models and data and their domains of applicability. Be able to synthesise different approaches to combine their strengths, e.g., physics informed machine learning.</p> | <p>MEngSt - Master of Engineering Studies - Programme Capabilities <p>Apply knowledge of mathematics, natural science, computing and engineering fundamentals, and an engineering specialisation, considering multiple perspectives and knowledge systems to develop solutions to complex engineering problems (WA1)</p> <p>Create, select, apply, and recognize limitations of appropriate techniques, resources, and modern engineering and IT tools, including, measurements, modelling and prediction, to solve complex engineering problems (WA5)</p> <p>Use knowledge of mathematics, natural sciences and engineering principles, and research literature to identify, formulate, analyse and solve complex engineering problems and reach substantiated conclusions (WA2)</p> <p>Conduct investigations of complex engineering problems using research methods, research-based knowledge, design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions (WA4)</p> <p>Design creative solutions for complex engineering problems and design systems, components or processes to meet identified needs with appropriate consideration for public health and safety, whole-life cost, net zero carbon, as well as resource, cultural, societal, and environmental considerations as required (WA3)</p> </p> |
| 2 | <p>Understand the concepts of well-posed and ill-posed parameter estimation for physical problems, and the principles of uncertainty quantification for linear and nonlinear physical models given real-world data.</p> | <p>MEngSt - Master of Engineering Studies - Programme Capabilities <p>Apply knowledge of mathematics, natural science, computing and engineering fundamentals, and an engineering specialisation, considering multiple perspectives and knowledge systems to develop solutions to complex engineering problems (WA1)</p> <p>Create, select, apply, and recognize limitations of appropriate techniques, resources, and modern engineering and IT tools, including, measurements, modelling and prediction, to solve complex engineering problems (WA5)</p> <p>Use knowledge of mathematics, natural sciences and engineering principles, and research literature to identify, formulate, analyse and solve complex engineering problems and reach substantiated conclusions (WA2)</p> <p>Conduct investigations of complex engineering problems using research methods, research-based knowledge, design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions (WA4)</p> <p>Design creative solutions for complex engineering problems and design systems, components or processes to meet identified needs with appropriate consideration for public health and safety, whole-life cost, net zero carbon, as well as resource, cultural, societal, and environmental considerations as required (WA3)</p> </p> |
| 3 | <p>Use uncertainty quantification methods to update and propagate uncertainties in parameter estimates and predictions for physical models given real-world data.</p> | <p>MEngSt - Master of Engineering Studies - Programme Capabilities <p>Apply knowledge of mathematics, natural science, computing and engineering fundamentals, and an engineering specialisation, considering multiple perspectives and knowledge systems to develop solutions to complex engineering problems (WA1)</p> <p>Create, select, apply, and recognize limitations of appropriate techniques, resources, and modern engineering and IT tools, including, measurements, modelling and prediction, to solve complex engineering problems (WA5)</p> <p>Use knowledge of mathematics, natural sciences and engineering principles, and research literature to identify, formulate, analyse and solve complex engineering problems and reach substantiated conclusions (WA2)</p> <p>Conduct investigations of complex engineering problems using research methods, research-based knowledge, design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions (WA4)</p> <p>Design creative solutions for complex engineering problems and design systems, components or processes to meet identified needs with appropriate consideration for public health and safety, whole-life cost, net zero carbon, as well as resource, cultural, societal, and environmental considerations as required (WA3)</p> </p> |