QUANTITATIVE METHODS AND TOOLS
ECO4QMT
2015
Credit points: 15
Subject outline
Students are introduced to the quantitative tools such as, for example, MATLAB and Mathematica used to undertake quantitative research in economics and econometrics. Aplications using MATLAB packages and Mathematica scripts are presented. Students are introduced to the mathematics used in Dynamic Programing and are shown how to apply these techniques using MATLAB and Mathematica. Aplications in microeconomics, macroeconomics and econometrics are covered.
School: La Trobe Business School
Credit points: 15
Subject Co-ordinator: Heidi Ryoo
Available to Study Abroad Students: Yes
Subject year level: Year Level 4 - UG/Hons/1st Yr PG
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: ECO2CFC and ECO2MFG and (ECO1EME or ECO2IQA or equivalent)
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Special conditions: N/A
Graduate capabilities & intended learning outcomes
01. Write effective scripts in MATLAB or Mathematica.
- Activities:
- TBC
02. Choose the correct packages and tools written for MATLAB and Mathematica to apply to particular economic and econometric problems and explain why the particular tool was chosen.
- Activities:
- TBC
03. Use MATLAB or Mathematica to obtain numerical and exact solutions in applications that involve quantitative economic or econometric problems
- Activities:
- TBC
04. Apply dynamic programing to solve problems in macroeconomics and microeconomics.
- Activities:
- TBC
05. Use MATLAB and or Mathematica to obtain numerical solutions in economic and econometric applications involving dynamic programing.
- Activities:
- TBC
Melbourne, 2015, Semester 1, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Heidi Ryoo
Class requirements
Laboratory ClassWeek: 10 - 22
One 1.0 hours laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
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.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| 1. Three 1500 word assignments | 100 | 01, 02, 03, 04, 05 |