Overview
Offerings
Rules
Contacts
Chief Examiner(s)
Unit Coordinator(s)
Learning outcomes
Apply concepts related to vector spaces, including subspace, span, linear independence and basis;
Understand properties of linear transformations and identify their kernel and range;
Diagonalize real matrices by computing their eigenvalues and finding their eigenspaces;
Understand matrix decomposition techniques;
Understand concepts related to inner product spaces and apply these to problems such as least-squares data fitting;
Develop and apply tools from linear algebra to a wide variety of relevant situations;
Recognise and apply relevant numerical methods and demonstrate computational skills in linear algebra;
Present clear mathematical arguments in both written and oral forms;
Develop and present rigorous mathematical proofs.
Assessment summary
Examination (3 hours and 10 minutes): 60% (Hurdle)
Continuous assessment: 40% (Hurdle)
Hurdle requirement: If you would otherwise have passed the unit but you do not achieve at least 45% in the end of semester written examination and continuous assessment you will receive a Hurdle Fail (NH) grade and a mark of 45 on your transcript.
Workload requirements
Other unit costs
Costs are indicative and subject to change.
Miscellaneous items required (unit course reader, printing, stationery) - $120.
Availability in areas of study
Financial and insurance mathematics
Mathematical statistics
Mathematics
Pure mathematics