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

Apply advanced computer aided engineering techniques to the design and analysis of machines and drives.

A2

Present findings in textual, graphical and mathematical formats.

K1

Explain how linkages are designed and integrate them successfully into machine system assemblies.

K2

Describe dynamic models of mechanisms on the basis of the desired performance criteria.

K3

Describe how computers are employed for mechanism design and analysis.

S1

Analyse and synthesise machine components and subassemblies, and integrate them successfully into machine system assemblies.

S2

Design and analyse typical machines and drives.

S3

Predict dynamic characteristics and operating conditions of machines and drives.

S4

Apply advanced computer aided engineering techniques to the design and analysis of machines and drives.