Faculty of Business and Economics

Monash University

Undergraduate - Unit

This unit entry is for students who completed this unit in 2015 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

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6 points, SCA Band 3, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

FacultyFaculty of Business and Economics
Organisational UnitDepartment of Econometrics and Business Statistics
OfferedClayton First semester 2015 (Day)
Coordinator(s)John Stapleton


This unit introduces mathematical techniques that are invaluable tools for econometrics, economics, finance, and business. Topics covered include matrix algebra, linear simultaneous equations and the LU decomposition, eigenvalues and the Schur decomposition, random vectors; optimisation, including the Lagrange multiplier method, partial differentiation, multiple integration, difference and differential equations. Some emphasis will be given to the use of computer programs for performing matrix calculations.


The learning goals associated with this unit are to:

  1. provide a practical training in basic mathematics needed for the study of econometrics
  2. examine the calculus of many variables and its application in econometrics and business statistics
  3. introduce matrix algebra
  4. provide a training in the use of mathematical software.


Within semester assessment: 40%
Examination: 60%

Workload requirements

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

See also Unit timetable information

Chief examiner(s)


Students must have passed ETC1000 or must be enrolled in course 3822 or 4412.


ETF2700, ECC2440. Students are also prohibited from enrolling in ETC2440 if they have passed both MTH2010 and MTH2021.