36105 iLab: Capstone Project
12cp; 6 x 3hrs (on campus), 6 x 3hrs (online)Requisite(s): 36100 Data Science for Innovation AND 36103 Statistical Thinking for Data Science AND 36106 Machine Learning Algorithms and Applications
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.
Description
This innovation lab (iLab) - capstone subject focuses students towards designing and investigating a data-driven prototype in using contemporary techniques and multi-structure data sets. This subject is unique compared to those in other data science courses in that it allows students to work on real world problems using experimental approaches from conceptualisation, design to data search and analytics to proposing solutions. This simulates a ‘virtual’ work environment type scenario making it highly applicable in a real working environment whilst still allowing both disciplinary and transdisciplinary approaches to be pushed to its boundaries towards innovative ideas. Student teams work on diverse data-driven solutions for complex real-world challenges. 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 in the lab environment, suitable for adaption in a work context. Students communicate the outcomes of their innovative lab investigations to relevant audiences.
Detailed subject description.