SIT399 - Optimization Modelling and Decision Analysis

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: Vicky Mak
Prerequisite:

One unit from SIT291, SIT292, SIT281

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 practical experiences (workshops) per week.

 

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

Online independent and collaborative learning including 2 x 1 hour practical experiences (workshops) per week.

 

Content

Students taking this unit will have an opportunity to see how decision-making problems in industry, business, and civic services can be solved using modern mathematical modelling and algorithmic techniques. In SIT399, students will learn how to make better decisions through mathematical methods in optimization problems such as: production planning, management and logistics, machine scheduling, robotics/vehicle routing, staff scheduling, network design, and resource allocation. Techniques covered include linear and integer models as well as game theory models.

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

Understand how a real-life optimization problem can be translated into a linear programming or integer programming model.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking

ULO2

Given a written problem description, formulate a linear programming or integer programming model for the problem.

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

ULO3

Understand and be able to implement the Simplex Algorithm for solving linear programming problems and the Branch-and-bound Method for solving integer programming problems.

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

ULO4

Communicate a mathematical concept or model and optimization results verbally and as a written report.

GLO1: Discipline-specific knowledge and capabilities
GLO2: Communication
GLO4: Critical thinking
GLO5: Problem solving

Assessment

Assessment Description Student output Grading and weighting
(% total mark for unit)
Indicative due week
Assessment 1
Online quizzes 
Weekly online mathematical tests 20% (10 x 2%) Weeks 2-11
Assessment 2
Oral presentations
2 x online recorded videos 20% Week 10
End-of-Unit Assessment Timed online test 60% 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.

Learning Resource

The texts and reading list for the unit can be found on the University Library via the link below: SIT399 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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