Linear Systems with Matlab Applications

Unit code:NEE2201Study level:Undergraduate

Credit points

12
(Generally, 1 credit = 10 hours of classes and independent study.)

Location

Footscray Park

Prerequisites

NEF1201 - Engineering Mathematics 2
NEE2101 - Electrical Circuits
(Or equivalent to be determined by unit coordinator)
Co-requisites
(Corequisite units must be studied concurrently with this unit)

Overview

This unit builds understanding of linear system modelling and analysis using frequency and time-domain methods. Students use Fourier and Laplace transforms, state-space techniques, and MATLAB-based simulations to explore system responses and stability. The unit emphasises analytical rigour, validation through computational tools, and communication of engineering insights.

Learning Outcomes

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

Apply Fourier series, Fourier transforms, and Laplace transforms to analyse and interpret the behaviour of signals and linear time-invariant systems;
Implement Fourier methods to conduct frequency-domain analysis and evaluate system characteristics such as stability and frequency response;
Employ Laplace transforms for time-domain analysis of systems represented by differential equations or state-space models; and
Exhibit proficiency both independently and collaboratively the use of MATLAB and Simulink for modelling, simulation, and evaluation of linear systems using transform-based methods.

Assessment

For Melbourne campuses

Assessment type: Report | Grade: 10%

Practical Lab Assessment (Individual) (700 words)

Assessment type: Test | Grade: 50%

In-class invigilated test (Individual) (90 mins)

Assessment type: Report | Grade: 40%

Laboratory Report (Group) (2500 words)

Report: This report assesses the performance and write up of a practical lab assessment.

Test: This secure invigilated in class assessment has an unpredictable problem-solving scenario format that tests applied understanding, requires explanation of reasoning and process, and involves applying knowledge to new contexts.

Report: This secure assessment ensures accountability by requiring students to perform hands on lab tasks under supervision. Real-time observation and process-focused questioning verify understanding and application of analytical skills. Structured group lab report documenting design, implementation, and validation processes in detail. Progressive milestone checks, documented collaboration and individual contributions ensure accountability and support verification of each student’s engagement. Explicit evaluation of individual contributions further supports the secure assessment and assurance of each student’s achievement of learning outcomes.