#
|
PO Domains
|
Programme Learning Outcome
|
PO1
|
Knowledge - Breadth
|
Demonstrate detailed knowledge and understanding of areas of Data Analytics, Programming, Regression, Data Mining and Data Visualisation relevant to the those working on process data in a manufacturing site.
|
PO2
|
Knowledge - Kind
|
Demonstrate understanding of the terminology, defining concepts and theories underlying the Analytics field; demonstrate knowledge of the advanced methods and technologies for acquiring, interpreting and analysing process data.
|
PO3
|
Skill - Range
|
Demonstrate ability of relevant skills and tools in Programming, Data Analytics, Data Mining, Regression and Data Visualisation; use these to solve problems involving process data sets; work independently within defined time and resource boundaries; communicate in a variety of forms to specialist and non-specialist audiences.
|
PO4
|
Skill - Selectivity
|
Formulate and test hypotheses; contribute fully to the day-to-day operations of the manufacturing work setting.
|
PO5
|
Competence - Context
|
Apply data analysis skills and technologies in a range of contexts in order to critically interpret existing knowledge and apply in new situations; make and report appropriate decisions in a responsible and ethical manner.
|
PO6
|
Competence - Role
|
Act effectively under guidance in a peer relationship with qualified practitioners; participate constructively in a complex interdisciplinary team environment; reflect on own practices.
|