| 1 | <p>Understand and apply machine learning concepts such as data collection, data preprocessing, model training and optimisation, and model testing, using real-world embedded/robotic platforms.</p> | <p>BE(Hons) - Bachelor of Engineering (Honours) - 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>Collaborate effectively as an individual, and as a member or leader in diverse and inclusive multi-disciplinary teams in face-to-face, remote and distributed settings, influencing work and in the service of others (WA9)</p><p>Apply ethical principles and commit to professional ethics and norms of engineering practice, adhering to relevant national and international laws. Demonstrate an understanding of the need for diversity and inclusion (WA8)</p> </p> |
| 2 | <p>Understand supervised and unsupervised machine learning and some typical techniques (e.g., neural networks, support vector machine, clustering approaches)</p> | <p>BE(Hons) - Bachelor of Engineering (Honours) - 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> |
| 3 | <p>Understand the difference between classification and regression</p> | <p>BE(Hons) - Bachelor of Engineering (Honours) - 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> |
| 4 | <p>Understand how to evaluate machine learning models' performance and select the best model for an application. Besides, understanding the parameters affecting the model performance.</p> | <p>BE(Hons) - Bachelor of Engineering (Honours) - 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> |