Programme Learning Outcomes (PLO) for BEng(DS&E)
Upon successful completion of the curriculum, students should be able to:
PLO a | apply knowledge of data science and engineering technologies to data science applications appropriate to the programme outcomes and to the discipline |
PLO b | apply knowledge of data science and engineering technologies to the abstraction and conceptualization of data science applications |
PLO c | analyze a data-centric problem, and identify and define the data science and engineering methodologies and technologies appropriate to its solution |
PLO d | design, implement, and evaluate a data science solution, process, component, or programme to meet desired needs with appropriate consideration for public health and safety, social and environmental considerations |
PLO e | function effectively on teams to accomplish a common goal |
PLO f | demonstrate an understanding of professional, ethical, legal, security and social issues and responsibilities |
PLO g | communicate effectively with a range of audiences |
PLO h | analyze the local and global impact of data science technology on individuals, organizations, and society |
PLO i | recognize the need for and an ability to engage in continuing professional development |
PLO j | use current techniques, skills, and tools necessary for data science and engineering practice with an understanding of the limitations |
Relationship of BEng(DS&E) Programme Learning Outcomes to HKU Educational Aims
Aim 1: Pursuit of academic/professional excellence, critical intellectual inquiry and life-long learning |
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Programme Learning Outcomes | Aim 1 | Aim 2 | Aim 3 | Aim 4 | Aim 5 | Aim 6 |
PLO a |
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PLO b |
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PLO c |
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PLO d |
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PLO e |
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PLO f |
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PLO g |
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PLO h |
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PLO i |
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PLO j |
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