SIT291 - Mathematical Methods for Information Modelling

Unit details

Year:

2024 unit information

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

SIT194

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.

This will include educator guided online learning activities within the unit site.

Educator-facilitated (scheduled) learning activities - on-campus unit enrolment:

2 x 1 hour online lectures per week, 1 x 2 hour practical experience (workshop) per week.

Educator-facilitated (scheduled) learning activities - online unit enrolment:

Online independent and collaborative learning including 2 x 1 hour online lectures per week (recordings provided), 1 x 2 hour online practical experience (workshop) per week

Content

SIT291 focuses on the concepts of differentiation and integration for the multi variable functions. Students will learn various techniques for solving constrained and unconstrained multivariate optimization problems as well as second order ordinary differential equations. Students will explore the applications of these mathematical techniques to the modelling of motion in space, optimization in business and economics, various forces in physics, periodic processes in mechanics, electric circuits and biology.

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

Apply the concepts of multivariate calculus to model phenomena that involve several interrelated variables.

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

ULO2

Use knowledge of partial derivatives to solve constrained and unconstrained multivariate optimization problems.

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

ULO3

Perform operations on vector fields to calculate line integrals and potential functions in order to construct models of physical systems.

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

ULO4

Model aspects of change in physical systems using second order differential equations.

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

Assessment

Assessment Description Student output Grading and weighting
(% total mark for unit)
Indicative due week

Assessment 1
Written reports

Two written reports 35% (15%, 20%) Weeks 8 and 11

Assessment 2
Quizzes

Three online quizzes 20% (10%, 5%, 5%) Weeks 4, 7 and 10
End-of-Unit Assessment Timed on-line test 45% End-of-Unit Assessment 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 pass this unit, students must obtain at least 50% in the total mark allocated for the end-of-unit assessment.

Learning Resource

Prescribed text(s): Stewart, 2017, Multivariable Calculus: Concepts & Contexts Enhanced Edition, 4th Ed, Cengage Learning, USA.

The texts and reading list for the unit can be found on the University Library via the link below: SIT291 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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Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.

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