Rationalizing relationships between the various sets of learning outcomes as a data driven mapping strategy

The paper begins by introducing a Generic Graduate Level Statement of Learning Outcomes (GGLSOLO), developed at The University of Sydney EIE (Electrical and Information Engineering) department, which has been derived from other commonly used sets, such as the CDIO set of learning outcomes and the revised Engineers Australia NGCS Stage 1 set of learning outcomes. The SORP (Scope Overlap Reduction Process) rationalizing technique will be demonstrated with this degree level set of learning outcomes and in concert with the curricular learning outcomes from the faculty of engineering. Subsequently, the method will be demonstrated for any set of learning outcomes and any set of curriculum learning outcomes.