eco1iqn introduction to quantitative analysis

INTRODUCTION TO QUANTITATIVE ANALYSIS

ECO1IQN

2020

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.

SchoolLa Trobe Business School (Pre 2022)

Credit points15

Subject Co-ordinatorJoanna Poyago-Theotoky

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 1 - UG

Exchange StudentsNo

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

AuthorBradley, Teresa

Year2013

Edition/Volumefourth edition

PublisherJOHN WILEY AND SONS GREAT BRITAIN

ISBNN/A

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

DISCIPLINE KNOWLEDGE AND SKILLS

INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

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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Melbourne (Bundoora), 2020, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment informationN/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 element	Comments	Category	Contribution	Hurdle	%	ILO*
One 3-hour final examination ( 3000 word equivalent)	N/A	N/A	N/A	No	60	SILO1, SILO2, SILO3, SILO4, SILO5
One written assignment (1,500 word equivalent)	N/A	N/A	N/A	No	30	SILO1, SILO2, SILO3
Completion of in-tutorial skill development activities (500 word equivalent)	N/A	N/A	N/A	No	10	SILO1, SILO2, SILO3, SILO4, SILO5