Overview

This unit of study aims to introduce students to the underlying fundamentals as well applications of system analysis, signal processing theories and methods as well as their applications for various mechanical systems These will be focused on vector calculus, Laplace transforms and Fourier series for analysing mechanical systems; digital filters, time and frequency domain analysis, and emerging technologies in data-driven computation. The unit will also equip students with hands-on design skills through virtual laboratory.

Requisites

Prerequisites
MEE20008 Vibration and Signal Analysis

Rule

MTH10012 Calculus and Applications
AND
MTH10013 Linear Algebra and Applications

OR for PDE
MTH10007 Engineering Mathematics 2 *
OR
MTH10003 Engineering Mathematics 2P *

Teaching Periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 1
Location
Hawthorn
Start and end dates
26-February-2024
26-May-2024
Last self-enrolment date
10-March-2024
Census date
31-March-2024
Last withdraw without fail date
12-April-2024
Results released date
02-July-2024
Semester 1
Location
Hawthorn
Start and end dates
26-February-2024
26-May-2024
Last self-enrolment date
10-March-2024
Census date
31-March-2024
Last withdraw without fail date
12-April-2024
Results released date
02-July-2024

Learning outcomes

Students who successfully complete this unit will be able to:

  • Apply signal sampling and Nyquist theory to design acquisition systems.(K2, K3, S1, S2, S3)
  • Apply digital filters, time and frequency domain analysis techniques to signal processing (K2, K3, S1, S2, S3)
  • Apply Laplace transforms to analyse dynamic systems and control (K2, K3, S1)
  • Apply Fourier series and the Fast Fourier Transform to analysing sound and vibration signals (K2, K3, S1)
  • Apply data-driven computation techniques and regression methods to derive system model from empirical data (K2, K3, K4, S1, S2)

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
Face to Face Contact (Phasing out)
Lecture
3.00 12 weeks 36
Face to Face Contact (Phasing out)
Tutorial
2.00 12 weeks 24
Unspecified Learning Activities (Phasing out)
Independent Learning
7.50 12 weeks 90
TOTAL150

Assessment

Type Task Weighting ULO's
Assignment 1Individual 10 - 20% 
Assignment 2Individual 10 - 20% 
Assignment 3Individual 10 - 20% 3,4,5 
ExaminationIndividual 40 - 60% 1,2,3,4 

Content

  • Fundamentals and applications of  system analysis
  • Signal processing theories and methods
  • Laplace transforms and Fourier series for analysing mechanical systems; digital filters, time and frequency domain analysis
  • Emerging technologies in data-driven computation. 

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.