INTRODUCTION TO QUANTITATIVE ANALYSIS

ECO2IQA

Not currently offered

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. You will have studied some mathematics at VCE (or equivalent) and be confident in applying that mathematics.

SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorJoanna Poyago-Theotoky

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 2 - UG

Available as ElectiveYes

Learning ActivitiesLecture and tutorials

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesN/A

Co-requisitesN/A

Incompatible subjectsECO1IQN

Equivalent subjectsECO1IQN

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

AuthorBradley, Teresa

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 Ready

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

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

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

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