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SIT292 - Linear Algebra for Data Analysis

Year:

2022 unit information

Important Update:

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

Enrolment modes:Trimester 2: Burwood (Melbourne), Online
Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 2: Simon James
Prerequisite:

SIT192

Corequisite:

Nil

Incompatible with:

Nil

Typical study commitment:

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus:

3 x 1 hour online classes per week, 1 x 1 hour workshop per week.

Scheduled learning activities - cloud:

Online independent and collaborative learning including optional scheduled activities as detailed in the unit site.

Content

Linear algebra is the foundation for many sophisticated mathematical and computational methods. In SIT292 students will learn the basics of linear algebra, and solve systems of linear equations. This unit extends students ability apply mathematical formulae and to operate with complex mathematical objects. SIT292 introduces students to vector spaces, matrix theory, systems of linear equations and methods for solving them, eigenvalues and eigenvectors, and their application to similarity of diagonal matrices. The techniques that students learn from this unit will enable them with the analysis of complex data and ensuring its reliability in studies of cryptography.

ULO These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: Deakin Graduate Learning Outcomes
ULO1

Perform operations with sets and their subsets and with binary relations.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking
GLO5: Problem solving

ULO2

Apply the methods of solving linear systems of equations, calculating determinants, eigenvalues and eigenvectors of matrices and performing matrix transformations.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking
GLO5: Problem solving

ULO3

Determine the basis and dimension of linear vector spaces and apply orthogonalisation procedures.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking
GLO5: Problem solving

ULO4

Apply the theory of linear vector spaces for linear coding and decoding.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking
GLO5: Problem solving

These Unit Learning Outcomes are applicable for all teaching periods throughout the year

Assessment

Assessment Description Student output Grading and weighting
(% total mark for unit)
Indicative due week
Problem solving task 1 Written problem solving task 20% Week 4
Problem solving task 2 Written problem solving task 30% Week 8
Investigation Written solution and explanation task 20% Week 11
Online tests 2 x 1 hour online tests 30% (10%, 20%) Weeks 6 and 12

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.

Learning Resource

The texts and reading list for the unit can be found on the University Library via the link below: SIT292 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.

Unit Fee Information

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