University of Technology, Sydney

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36105 iLab 2

12cp; on campus (1 x 3hrs, 2 x 4hrs, 2 x 7 hrs); independent online work; negotiated mentoring and industry sessions; availability: Master of Data Science and Innovation students only
Requisite(s): 36100 Data Science for Innovation AND 36103 Statistical Thinking for Data Science AND 36106 Data, Algorithms and Meaning AND 36101 Leading Data Science Initiatives AND 36104 Data Visualisation and Narratives AND 36109 Data and Decision Making
There are course requisites for this subject. See access conditions.

Postgraduate

Description

This second innovation lab subject focuses students towards designing, realising and investigating a prototype in which they utilise contemporary techniques and large, complex, multi-structure data sets. Students develop project documentation and supporting artefacts in the lab environment suitable for adaption in a work experience context. They test new approaches from current research literature, or propose new studies, under the supervision of transdisciplinary staff. The lab environment fosters collaboration where students working individually and in groups openly share data and results of data explorations. Through taking responsibility for an aspect of a workflow to extract value, or alternatively, work on a subset or a thematic area of inquiry, each student also contributes to the work stream of a major project. Using a range of open data sets and suitable case studies, students hone their skills in framing questions useful for embarking upon discoveries, addressing gaps in knowledge or tackling problems. The work experience project extends the lab activities to provide students with an opportunity to pursue professional interests, whether involving not-for-profit communities, an entrepreneurial proposal or a nominated organisation. Students communicate the outcomes of their innovation lab and workplace investigations in various forms to relevant audiences.

Typical availability

Spring 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.