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

Evaluate, plan, and implement a tunnelling system for a project. 

A2

Apply 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.

K1

Explain shaft sinking and tunnelling by drilling and blasting method.

K2

Describe mechanised tunnelling method.

K3

Identify sensoring technologies for engineering application.

K4

Observe engineering applications of robots.

K5

Recognise engineering applications of data analytics.

K6

Review engineering applications of artificial intelligence.

S1

Select appropriate tunnelling method for applications in mining and civil engineering.

S2

Analyse tunnelling projects and provide solutions to complex underground tunnelling problems.

S3

Investigate 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.