# INTRODUCTION TO QUANTITATIVE ANALYSIS

ECO2IQA

2017

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 StudentsYes

Subject year levelYear Level 2 - UG

Exchange StudentsYes

## Subject particulars

### Subject rules

PrerequisitesN/A

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

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 2008 (REPRINTED WITH CORRECTIONS IN AUGUST 2010)
ReadingsAny good high school mathematics textbookPreliminaryTBAN/A

## Graduate capabilities & intended learning outcomes

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

Activities:
Lecture and tutorials

02. Solve and manipulate equations and systems of equations

Activities:
Lecture and tutorials

03. Solve systems of linear equations using matrices and determinants

Activities:
Lecture and tutorials

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

Activities:
Lecture and tutorials

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

Activities:
Lecture and tutorials

## Subject options

Select to view your study options…

Start date between: and    Key dates

## Melbourne, 2017, Semester 1, Day

### Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorJoanna Poyago-Theotoky

### Class requirements

Tutorial Week: 10 - 22
One 1.0 hours tutorial per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Lecture Week: 10 - 22
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

### Assessments

Assessment elementComments% ILO*
One 3-hour final examination2,500 word equivalent60 01, 02, 03, 04, 05
One assignment1,500 word equivalent30 01, 02, 03, 04, 05
Tutorial attendance/participation500 word equivalent10 01, 02, 03, 04, 05

## Melbourne, 2017, 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 examination2,500 word equivalent60 01, 02, 03, 04, 05
One assignment1,500 word equivalent30 01, 02, 03, 04, 05
Tutorial attendance/participation500 word equivalent10 01, 02, 03, 04, 05

## Sydney, 2017, Study Period 1, Day

### Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorJoanna Poyago-Theotoky

### Class requirements

Lecture Week: 10 - 22
One 3.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

### Assessments

Assessment elementComments% ILO*
One 3-hour final examination2,500 word equivalent60 01, 02, 03, 04, 05
One assignment1,500 word equivalent30 01, 02, 03, 04, 05
Tutorial attendance/participation500 word equivalent10 01, 02, 03, 04, 05

## Sydney, 2017, Study Period 2, Day

### Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorJoanna Poyago-Theotoky

### Class requirements

Lecture Week: 31 - 42
One 3.0 hours lecture per week on weekdays during the day from week 31 to week 42 and delivered via face-to-face.

### Assessments

Assessment elementComments% ILO*
One 3-hour final examination2,500 word equivalent60 01, 02, 03, 04, 05
One assignment1,500 word equivalent30 01, 02, 03, 04, 05
Tutorial attendance/participation500 word equivalent10 01, 02, 03, 04, 05

## Vietnam, 2017, 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.

### Assessments

Assessment elementComments% ILO*
One 3-hour final examination2,500 word equivalent60 01, 02, 03, 04, 05
One assignment1,500 word equivalent30 01, 02, 03, 04, 05
Tutorial attendance/participation500 word equivalent10 01, 02, 03, 04, 05