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>Exercise critical thinking and judgement in developing new understanding of machinery dynamics and creatively synthesise solutions for dynamics problems.</p>

A2

<p>Plan and execute a project work in the area of machine dynamics and research with some independence.</p>

A3

<p>Demonstrate responsibility for own learning practice and in collaboration with others.</p>

A4

Adapt knowledge and skills acquired in the unit in diverse engineering and industrial contexts.
K1

Investigate and explain how advanced mathematical and numerical methods are employed in the field of machine dynamics and vibration.
K2

Explain the principles and concepts underlying the technical field of machine dynamics.
K3

Explain and differentiate research methods and analytical tools applied in the field of machine dynamics.
K4

Evaluate the operating and design parameters which impact the performance of machinery.
S1

Evaluate and transform information relevant to field of machine dynamics.
S2

Work independently and in teams to identify and provide solutions to complex problems in the field of machine dynamics and mechanical vibration.
S3

Apply advanced understanding of the body of knowledge and theoretical concepts underlying the field of machine dynamics.
S4

<p>Communicate knowledge and ideas to a variety of audiences.</p>