| 1 | <p>Understand and analyse Knowledge of basic neuroscience - namely, component parts of the brain, components parts of the neuron, signals that arise from neurons, the EEG and typical brain patterns observed, epilepsy and the EEG</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> |
| 2 | <p>Analyse and apply Analysis of how neurons in the brain are similar to artificial neural network models</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> |
| 3 | <p>Create and synthesis the 4 common ANN models taught in the course. (Namely, The Artificial Neuron model, The Multi-Layer Perceptron, The Self-Organising Map and the Radial Basis Function Network)</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> |
| 4 | <p>Develop and demonstrate Be able to Develop Algorithms for time-series classification and time-series exogeneous regression signal processing applications</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>Apply Be able to Apply Systematic time-series feature engineering and interpret time-series features</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> |
| 6 | <p>Design, develop, evaluate, and validate Be able to design and model in Python using libraries like sklearn and tsfresh and model ANN in Matlab</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> |