MAPPING OF COURSES TO PROGRAMME OUTCOMES MATRIX (CURRICULUM REVISION 2015)

MAPPING OF COURSES TO PROGRAMME OUTCOMES MATRIX (CURRICULUM REVISION 2021)

ATTRIBUTE	*Complex Engineering Problems* have characteristic WP1 and some or all of WP2 to WP7
Depth of Knowledge Required	WP1: Can’t be resolved without in-depth engineering knowledge at the level of one or more of WK3, WK4, WK5, WK6 or WK8 which allows a fundamentals-based, first principles analytical approach
Range of Conflicting Requirements	WP2: Involve wide-ranging or conflicting technical, engineering and other issues
Depth of Analysis Required	WP3: Have no obvious solution and require abstract thinking, originality in analysis to formulate suitable models
Familiarity of Issues	WP4: Involve infrequently encountered issues
Extent of Applicable Codes	WP5: Are outside problems encompassed by standards and codes of practice for professional engineering
Extent of Stakeholder Involvement and Conflicting Requirements	WP6: Involve diverse groups of stakeholders with widely varying needs
Interdependence	WP 7: Are high level problems including many component parts or sub-problems
In addition, in the context of the Professional Competencies
Consequences	EP1: Have significant consequences in a range of contexts
Judgement	EP2: Require judgement in decision making.

ATTRIBUTE	Complex Activities
Preamble	*Complex activities* means (engineering) activities or projects that have some or all of the following characteristics:
Range of resources	EA1: Involve the use of diverse resources (and for this purpose resources includes people, money, equipment, materials, information and technologies)
Level of interactions	EA2: Require resolution of significant problems arising from interactions between wide-ranging or conflicting technical, engineering or other issues
Innovation	EA3: Involve creative use of engineering principles and research-based knowledge in novel ways.
Consequences to society and the environment	EA4: Have significant consequences in a range of contexts, characterized by difficulty of prediction and mitigation
Familiarity	EA5: Can extend beyond previous experiences by applying principles-based approaches