UnitLevel 3Undergraduate

MTH3230 Time series and random processes in linear systems

Faculty of Science

MTH3230 Time series and random processes in linear systems is a level 3, 6-credit-point, undergraduate unit from the Faculty of Science, offered in 2023 in Semester 2 at Clayton. It has no prerequisites.

Credit points
6
Offered in 2023
Semester 2
Clayton
Assessment
Exam 60%
and 1 other task

This is the 2023 handbook entry. See the 2027 entry.

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Requisites

Before MTH3230

No prerequisites or corequisites besides the enrolment rules below.

After MTH3230

No unit lists MTH3230 as a prerequisite in the 2023 handbook.

Enrolment rules

PREREQUISITE: You must be enrolled in the Master of Financial Mathematics or have passed one of the following units: MTH2010, MTH2015, MTH2032, MTH2040, MTH2222 or ENG2005.

MTH2222 is highly recommended.

Overview

Multivariate distributions. Estimation: maximum of likelihood and method of moments. Confidence intervals. Analysis in the time domain: stationary models, autocorrelation, partial autocorrelation. ARMA and ARIMA models. Analysis in the frequency domain (Spectral analysis): spectrum, periodigram, linear and digital filters, cross-correlations and cross-spectrum, spectral estimators, confidence interval for the spectral density. State-space models. Kalman filter. Empirical Orthogonal Functions and other Eigen Methods. Use of ITSM.

Offerings in 2023

Teaching periodCampusMode
Second semesterClaytonOn campus

Assessment

  • Continuous assessment
    40%
  • Examination (3 hours and 10 minutes)Threshold hurdle
    60%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Articulate the concept of stationary time series;

  2. 2

    Manipulate the concept of projection and its use in forecasting;

  3. 3

    Understand the models of autoregression and moving averages and their combinations;

  4. 4

    Analyse time series in time domain as well as frequency domain;

  5. 5

    Apply the Kalman filter to random systems;

  6. 6

    Analyse time series data using the ITSM package.

Workload and teaching

  • Seminars36 hours
  • Applied sessions22 hours
  • Teaching approachActive learning
  • Three 1-hour seminars;
  • One 2-hour applied class (in weeks 2-12) and
  • 7 hours of independent study per week.

Active learning will occur in lectures and applied classes.

Where it fits

MTH3230 is part of 7 areas of study in the 2023 handbook.

Contacts

Unit Coordinators
Associate Professor Tianhai Tian
Chief Examiners
Associate Professor Tianhai Tian

Common questions

What are the prerequisites for MTH3230?

MTH3230 has no prerequisites, but enrolment rules apply.

When is MTH3230 offered?

In 2023, MTH3230 runs in Semester 2 at Clayton.

Does MTH3230 have an exam?

Yes. The exam is worth 60% of the final mark, alongside 1 other task.

Which majors and minors include MTH3230?

MTH3230 is part of Applied mathematics; Financial and insurance mathematics; Mathematical statistics; Mathematics; and Pure mathematics.

More details

Credit points
6
Level
3
Study level
Undergraduate
Faculty
Faculty of Science
Organisational unit
School of Mathematics
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 1
Study abroad
Available