University of Technology Sydney

26811 Data, Algorithms and Meaning

There are course requisites for this subject. See access conditions.



This subject introduces candidates to key machine learning algorithms and their application in real-world settings. Participants develop an understanding of big data, how algorithms work, as well as the strengths and weaknesses of big data and algorithms in the context of specific applications. Since data science problems are infused with assumptions, often with ethical and legal implications, due attention is given to questioning the assumptions behind data and approaches used to analyse it. Candidates explore ethical implications in relation to the use of machine learning algorithms and develop options on how to navigate ethical issues.

Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.