eco1iqn intro to quantitative analysis
INTRODUCTION TO QUANTITATIVE ANALYSIS
ECO1IQN
2019
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.
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Essential mathematics for economics and business (fourth edition) | Prescribed | Bradley, Teresa | JOHN 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
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
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
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
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
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
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
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
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
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Quantitative Literacy)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
Subject options
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Melbourne, 2019, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorJoanna Poyago-Theotoky
Class requirements
LectureWeek: 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.
TutorialWeek: 11 - 22
One 1.0 hours tutorial per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | 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 |