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SIT292 - Linear Algebra for Data Analysis

Year:

2020 unit information

Important Update:

Classes and seminars in Trimester 2/Semester 2, 2020 will be online. Physical distancing for coronavirus (COVID-19) will affect delivery of other learning experiences in this unit. Please check your unit sites for announcements and updates one week prior to the start of your trimester or semester.

Last updated: 2 June 2020

Enrolment modes:Trimester 2: Burwood (Melbourne), Cloud (online)
Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 2: Gleb Beliakov
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 classes per week, 1 x 1 hour practical per week.

Scheduled learning activities - cloud:

1 x 1 hour scheduled online workshop per week.

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.

 

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 Weighting (% total mark for unit) Indicative due week
Problem solving tasks  Three problem solving tasks 40% (10%, 15%, 15%) Weeks 5, 8 and 11
Examination 2-hour written examination 60% Examination period

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.

Hurdle requirement

To be eligible to obtain a pass in this unit, students must achieve 50% of the total marks allocated for examination.

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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