INTRODUCTION TO QUANTITATIVE ANALYSIS

ECO1IQN

2018

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

Credit points15

Subject Co-ordinatorJoanna Poyago-Theotoky

Available to Study Abroad StudentsYes

Subject year levelYear Level 1 - UG

Exchange StudentsYes

Subject particulars

Subject rules

PrerequisitesN/A

Co-requisitesN/A

Incompatible subjects ECO2IQA

Equivalent subjects ECO2IQA

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

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsEssential mathematics for economics and business (fourth edition)PrescribedBradley, TeresaJOHN WILEY AND SONS GREAT BRITAIN 2013 (4th Edition)

Graduate capabilities & intended learning outcomes

01. Demonstrate proficiency with functions such as the exponential and polynomial

Activities:
Weekly lectures to explain the concepts and methodologies, supported by in lecture examples and weekly tutorials to work through specified questions

02. Solve and manipulate equations and systems of equations

Activities:
Weekly lectures to explain the concepts and methodologies, supported by in lecture examples and weekly tutorials to work through specified questions

03. Solve systems of linear equations using matrices and determinants

Activities:
Weekly lectures to explain the concepts and methodologies, supported by in lecture examples and weekly tutorials to work through specified questions

04. Use derivative calculus (partial and total derivatives, rules of differentiation, higher order derivatives) to solve problems involving both univariate and multivariate functions

Activities:
Weekly lectures to explain the concepts and methodologies, supported by in lecture examples and weekly tutorials to work through specified questions

05. Be proficient in optimization theory to solve both unconstrained and constrained optimization problems

Activities:
Weekly lectures to explain the concepts and methodologies, supported by in lecture examples and weekly tutorials to work through specified questions

Subject options

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Start date between: and    Key dates

Melbourne, 2018, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorJoanna Poyago-Theotoky

Class requirements

Lecture Week: 31 - 43
One 2.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Tutorial Week: 31 - 43
One 1.0 hours tutorial per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementComments% ILO*
One 3-hour final examination ( 3000 word equivalent)60 01, 02, 03, 04, 05
One written assignment (1,000 word equivalent)30 01, 02, 03, 04, 05
Completion of in-tutorial skill development activities (500 word equivalent)10 01, 02, 03, 04, 05

Vietnam, 2018, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorJoanna Poyago-Theotoky

Class requirements

Lecture Week: 31 - 43
One 2.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Tutorial Week: 31 - 43
One 1.0 hours tutorial per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementComments% ILO*
One 3-hour final examination ( 3000 word equivalent)60 01, 02, 03, 04, 05
One written assignment (1,000 word equivalent)30 01, 02, 03, 04, 05
Completion of in-tutorial skill development activities (500 word equivalent)10 01, 02, 03, 04, 05