Learning outcome
1.1

1.1 Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.

1.2

1.2 Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.

1.3

1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.

1.4

1.4 Discernment of knowledge development and research directions within the engineering discipline.

1.5

1.5 Knowledge of contextual factors impacting the engineering discipline.

1.6

1.6 Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline.

2.1

2.1 Application of established engineering methods to complex engineering problem solving.

2.2

2.2 Fluent application of engineering techniques, tools and resources.

2.3

2.3 Application of systematic engineering synthesis and design processes.

2.4

2.4 Application of systematic approaches to the conduct and management of engineering projects.

3.1

3.1 Ethical conduct and professional accountability.

3.2

3.2 Effective oral and written communication in professional and lay domains.

3.3

3.3 Creative, innovative and pro-active demeanour.

3.4

3.4 Professional use and management of information.

3.5

3.5 Orderly management of self, and professional conduct.

3.6

3.6 Effective team membership and team leadership.

A1

<p>Design a mining system/project from an economics perspective.</p>

A2

<p>Interpret the economical viability of mining projects.</p>

K1

<p>Review capital and operating costs for mining systems employed in the mining industry.</p>

K2

<p>Recognise and interpret the relationship between mining costs and revenues.</p>

K3

<p>Identify and analyse the effect of time on the determination of the feasibility of mining projects.</p>

S1

<p>Appraise, consolidate and synthesise knowledge and identify and provide solutions to complex mine problems.</p>

S2

<p>Evaluate complex ideas in mineral economics.</p>

S3

<p>Select appropriate tools (that may include software) to solve problems in mineral economics.</p>