| Learning outcome |
1.11.1 Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline. |
1.21.2 Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline. |
1.31.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline. |
1.41.4 Discernment of knowledge development and research directions within the engineering discipline. |
1.51.5 Knowledge of contextual factors impacting the engineering discipline. |
1.61.6 Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline. |
2.12.1 Application of established engineering methods to complex engineering problem solving. |
2.22.2 Fluent application of engineering techniques, tools and resources. |
2.32.3 Application of systematic engineering synthesis and design processes. |
2.42.4 Application of systematic approaches to the conduct and management of engineering projects. |
3.13.1 Ethical conduct and professional accountability. |
3.23.2 Effective oral and written communication in professional and lay domains. |
3.33.3 Creative, innovative and pro-active demeanour. |
3.43.4 Professional use and management of information. |
3.53.5 Orderly management of self, and professional conduct. |
3.63.6 Effective team membership and team leadership. |
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A1Evaluate, plan, and implement a tunnelling system for a project. |
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A2Apply emerging technologies for engineering applications to improve performance, including, but not limited to, new tunnelling technologies, sensor technologies, industrial robots, data analytics and artificial intelligence. |
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K1Explain shaft sinking and tunnelling by drilling and blasting method. |
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K2Describe mechanised tunnelling method. |
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K3Identify sensoring technologies for engineering application. |
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K4Observe engineering applications of robots. |
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K5Recognise engineering applications of data analytics. |
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K6Review engineering applications of artificial intelligence. |
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S1Select appropriate tunnelling method for applications in mining and civil engineering. |
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S2Analyse tunnelling projects and provide solutions to complex underground tunnelling problems. |
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S3Investigate emerging technologies for engineering applications to improve performance, including, but not limited to, new tunnelling technologies, sensor technologies, industrial robots, data analytics and artificial intelligence. |