eco4qmt quantitative methods and tools

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.

SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorHeidi Ryoo

Available to Study Abroad StudentsYes

Subject year levelYear Level 4 - UG/Hons/1st Yr PG

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites ECO2CFC and ECO2MFG and (ECO1EME or ECO2IQA or equivalent)

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Special conditionsN/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

Subject options

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Start date between: and    Key dates

Melbourne, 2015, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorHeidi 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 elementComments%ILO*
1. Three 1500 word assignments10001, 02, 03, 04, 05