Engineering Analysis and Modelling

Unit code: NEM3101 | Study level: Undergraduate
Credit points
12
(Generally, 1 credit = 10 hours of classes and independent study.)
Location
Footscray Park
Prerequisites
NEM2104 - Numerical Modelling of Mechanical Systems
(Or equivalent to be determined by unit coordinator)
Overview
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Overview

This unit introduces students to advanced techniques for analysing random data and processes, which are essential for modern engineering applications. As the monitoring of systems, machines, and environmental processes becomes increasingly vital in engineering, understanding and applying appropriate analytical methods is critical for Mechanical Engineers. This unit explores various dynamic processes that involve random and non-deterministic behaviours, such as seismic motion, vehicle vibrations and acoustics. Students will study key techniques, including statistical distributions, moving statistics, frequency analysis (Fourier Analysis and the Fourier Transform), frequency response functions, digital sampling and filtering, and the Laplace Transform. These methods will equip students with the tools needed to analyse complex engineering data and optimise the performance and reliability of engineering systems.

Learning Outcomes

On successful completion of this unit, students will be able to:

  1. Adapt frequency domain analysis techniques to various signal types and interpret the results accurately;
  2. Evaluate the frequency response functions of mechanical systems using Fourier analysis;
  3. Devise appropriate strategies for sampling diverse signal types and implementing suitable digital filters;
  4. Conduct statistical analysis on a range of data sets to extract meaningful insights;
  5. Utilise Laplace transform techniques to solve differential equations related to mechanical systems; and
  6. Develop and validate computer code for performing the above analyses and generate clear, technical reports both individually and in collaborative team settings.

Assessment

For Melbourne campuses

Students will work in groups to prepare the portfolios.

Assessment type: Portfolio
|
Grade: 30%
Algorithm development and data analysis portfolio (Group) (2000 words)
Assessment type: Test
|
Grade: 35%
In-class invigilated test 1 (90 mins) (Individual)
Assessment type: Test
|
Grade: 35%
In-class invigilated test 2 (90mins) (Individual)

Portfolio: The portfolio includes an evaluation of the contributions made by each member of the team to facilitate the assessment of students’ achievement of learning outcomes. The portfolio’s integrity is maintained through progressive submission checkpoints, code originality verification, and in-class monitoring of each student’s contributions. Students collaborate to design, implement, and document algorithms and data analysis workflows addressing random data and dynamic system problems. The portfolio includes practical coding exercises, analytical reports, and reflections on group contributions and applied problem-solving. Explicit evaluation of individual contributions further supports the assessment and assurance of each student’s achievement of learning outcomes.

Tests: All tests are invigilated under secure conditions to ensure authenticity and individual accountability. Test 1 evaluates students’ understanding of statistical methods, introductory frequency domain analysis and Fourier techniques, and digital sampling, testing their ability to interpret and apply analytical results. Test 2 focuses on dual channel Fourier analysis, Laplace transforms, transfer functions, and data interpretation, assessing students’ capacity to integrate theoretical knowledge and computational skills in solving engineering problems.

Required reading

Refer to VU Collaborate for recommenced reading and other resources.

As part of a course

This unit is studied as part of the following course(s):

Bachelor of Engineering (Honours) (Mechanical Engineering)
NHEM | Bachelor honours degree | Duration: 4 years

Refer to the course page for information on how to apply for the course. VU takes care to ensure the accuracy of this unit information, but reserves the right to change or withdraw courses offered at any time. Please check that unit information is current with the Student Contact Centre.

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