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2022 unit information
Unit delivery will be in line with the most current COVIDSafe health guidelines. We continue to tailor learning experiences for each unit to achieve the best possible mix of online and on-campus activities that successfully blend our approaches to learning, working and research. Please check your unit sites for announcements and updates.
Last updated: 4 March 2022
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SIT114
Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.
1 x 2 hour online class per week, 1 x 2 hour workshop per week, weekly drop-in sessions.
Online independent and collaborative learning including optional scheduled activities as detailed in the unit site.
Data science is an emerging field and data scientists must be able to know how to make sense of data. In SIT112, students will develop knowledge of fundamentals in data science, in particular data manipulation and algorithms for analytics. The unit will also cover the practice of data science including ethical and responsible behaviour when crawling, cleaning, analysing, representing and repurposing the data. Students will be able to obtain data, recognise data formats, summarise and visualise relationships in the data, perform exploratory data analysis tasks and build predictive models.
Demonstrate data acquisition, data representation and data pre-processing skills to describe, analyse and repurpose data from a variety of sources.
GLO1: Discipline-specific knowledge and capabilitiesGLO2: CommunicationGLO3: Digital literacyGLO4: Critical thinkingGLO5: Problem solvingGLO7: Teamwork
ULO2
Apply critical thinking and statistical techniques to understand and visualize relationships in data.
GLO2: CommunicationGLO4: Critical thinkingGLO5: Problem solvingGLO7: Teamwork
ULO3
Apply machine-learning techniques in exploratory data analysis for problems related to commerce, industry and research.
GLO1: Discipline-specific knowledge and capabilitiesGLO3: Digital literacyGLO4: Critical thinkingGLO5: Problem solvingGLO7: Teamwork
ULO4
Design and compute a statistical relationships in data including correlation and linear regression.
GLO1: Discipline-specific knowledge and capabilitiesGLO4: Critical thinkingGLO5: Problem solvingGLO7: Teamwork
ULO5
Design and develop data-driven algorithms for outcome prediction.
GLO1: Discipline-specific knowledge and capabilitiesGLO5: Problem solvingGLO7: Teamwork
These Unit Learning Outcomes are applicable for all teaching periods throughout the year
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
The texts and reading list for the unit can be found on the University Library via the link below: SIT112 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.
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