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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A1<p>Design a mining system/project from an economics perspective.</p> |
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A2<p>Interpret the economical viability of mining projects.</p> |
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K1<p>Review capital and operating costs for mining systems employed in the mining industry.</p> |
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K2<p>Recognise and interpret the relationship between mining costs and revenues.</p> |
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K3<p>Identify and analyse the effect of time on the determination of the feasibility of mining projects.</p> |
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S1<p>Appraise, consolidate and synthesise knowledge and identify and provide solutions to complex mine problems.</p> |
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S2<p>Evaluate complex ideas in mineral economics.</p> |
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S3<p>Select appropriate tools (that may include software) to solve problems in mineral economics.</p> |