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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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Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.
3 x 1 hour online classes per week, 1 x 1 hour workshop per week.
Online independent and collaborative learning including optional scheduled activities as detailed in the unit site.
This unit provides the fundamental mathematical and statistical knowledge to understand important concepts in Artificial Intelligence (AI) and Data Science (DS). The contents of the unit are selected carefully to cover the most frequent mathematical and statistical tools and techniques to help students easily learn technical topics in AI and DS, enabling students to obtain enough experience to expand their knowledge into new directions if required. The unit builds a strong bridge between simple and core mathematical and statistical concepts and advanced techniques that are used in developing modern algorithms in AI and DS.
Explain the role and application of mathematical concepts associate with artificial intelligence.
GLO1: Discipline-specific knowledge and capabilitiesGLO4: Critical thinkingGLO5: Problem solving
ULO2
Identify and summarise mathematical concepts and technique covered in the unit needed to solve mathematical problems from artificial intelligence applications.
ULO3
Verify and critically evaluate results obtained and communicate results to a range of audiences.
GLO2: CommunicationGLO4: Critical thinking
ULO4
Read and interpret mathematical notation and communicate the problem-solving approach used.
GLO1: Discipline-specific knowledge and capabilitiesGLO2: Communication
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.
To be eligible to obtain a pass in this unit, students must achieve a mark of at least 50% in the examination.
The texts and reading list for the unit can be found on the University Library via the link below: SIT787 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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