University of Technology, Sydney

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36109 Data and Decision Making

8cp; block mode with weekly online work, 5 sessions on campus (3 x Thursday night; 2 x Saturday)
Requisite(s): 36100 Data Science for Innovation AND 36106 Data, Algorithms and Meaning AND 36103 Statistical Thinking for Data Science
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.

Requisite elaboration/waiver:

Any student wishing to enrol in first- and second-year subjects concurrently must apply for a waiver.

Description

This subject introduces students to diverse ways of assisting people to make decisions in organisational settings. The key themes of uncertainty and ambiguity are emphasised in all stages of the decision-making process, right from identifying stakeholder needs and acquiring relevant data through to supporting decision making and influencing stakeholder behaviours. Using both a hard and soft systems thinking approaches, the subject explores various decision analysis methods and discusses the practical challenges to rational decision making. Working individually and in teams students ask probing questions and gather/present evidence that supports decision making in situations of varying complexity. Most importantly, the subject helps students develop an understanding of the different types of decision problems they are likely to encounter in their professional lives and the diverse approaches that can be used to tackle them.

Typical availability

Autumn session, City campus


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.