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.
School: La Trobe Business School
Credit points: 15
Subject Co-ordinator: Joanna Poyago-Theotoky
Available to Study Abroad Students: Yes
Subject year level: Year Level 1 - UG
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: N/A
Co-requisites: N/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
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
Melbourne, 2018, Semester 2, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Joanna Poyago-Theotoky
Class requirements
LectureWeek: 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.
TutorialWeek: 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 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 |
Vietnam, 2018, Semester 2, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Joanna Poyago-Theotoky
Class requirements
LectureWeek: 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.
TutorialWeek: 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 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 |