| 1 | <p>Demonstrate an understanding of optimality conditions for unconstrained optimization</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> |
| 2 | <p>Demonstrate an understanding of computational algorithms for unconstrained optimization</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>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>Demonstrate an understanding of convex sets and functions and their use in optimization</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> |
| 4 | <p>Demonstrate an understanding of optimality conditions for convex programming</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> |
| 5 | <p>Demonstrate an understanding of the Karush-Kuhn-Tucker conditions for nonlinear optimization</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> |