INTRODUCTION TO QUANTITATIVE ANALYSIS

ECO1IQN

2021

Credit points: 15

Subject outline

In Quantitative Analysis, you will understand how to use and interpret mathematical tools along with their various applications in economics, finance and business. You will learn about number systems, functions, linear equations, non-linear equations, linear algebra, univariate differential calculus, multivariate differential calculus, unconstrained optimisation and equality-constrained optimisation; with each illustrated using applications from economics, finance and business studies.

Credit points15

Subject Co-ordinatorJoanna Poyago-Theotoky

Subject year levelYear Level 1 - UG

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesN/A

Co-requisitesN/A

Incompatible subjectsECO2IQA

Equivalent subjectsECO2IQA

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsIf you have not done VCE Maths then it is advised to seek some additional tutorial support to succeed in this subject.

Minimum credit point requirementN/A

Assumed knowledgeN/A

Learning resources

Essential mathematics for economics and business

Resource TypeBook

Resource RequirementPrescribed

Year2013

Edition/Volumefourth edition

PublisherJOHN WILEY AND SONS GREAT BRITAIN

ISBN9781118358290

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

Graduate capabilities & intended learning outcomes

Intended Learning Outcomes

01. Demonstrate proficiency with functions such as the exponential and polynomial
02. Solve and manipulate equations and systems of equations
03. Solve systems of linear equations using matrices and determinants
04. Use derivative calculus (partial and total derivatives, rules of differentiation, higher order derivatives to solve problems involving both univariate and multivariate functions
05. Be proficient in optimization theory to solve both unconstrained and constrained optimization problems

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorJoanna Poyago-Theotoky

Class requirements

LectureWeek: 10 - 22
One 2.00 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

TutorialWeek: 11 - 22
One 1.00 hour tutorial per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.

Assessments

Assessment elementCategoryContributionHurdle% ILO*

One 3-hour final examination ( 3000 word equivalent)

Central examIndividualNo60 SILO1, SILO2, SILO3, SILO4, SILO5

One written assignment (1,500 word equivalent)

AssignmentIndividualNo30 SILO1, SILO2, SILO3

Completion of in-tutorial skill development activities (500 word equivalent)

OtherIndividualNo10 SILO1, SILO2, SILO3, SILO4, SILO5