Applications in Electrical Engineering unit (ENG427)

Introduction

This unit equips students with the skills to analyse, design, and manage advanced electrical systems, with a focus on smart grids, industrial automation, and AI-driven decision-making. Covering the full lifecycle of electrical systems, from installation and maintenance to optimisation and automation, students will develop expertise in diagnostic techniques, reliability analysis, and system performance enhancement. 

Students will explore the integration of Artificial Intelligence (AI) in electrical engineering, applying data-driven methods to optimise electrical systems while considering ethical and regulatory implications. The unit emphasises practical application through real-world system analysis, system design, and AI-driven optimisation projects, preparing students to implement industry-standard monitoring, control, and automation solutions.

By engaging with technical reporting and consulting-oriented communication, students will refine their ability to present complex engineering solutions to industry stakeholders. 

Summary

Unit name	Applications in Electrical Engineering
Unit code	ENG427
Credit points	12.5
College/School	Sciences and Engineering School of Engineering
Discipline	Engineering
Coordinator	Doctor Benjamin Millar
Delivered By	University of Tasmania
Level	Honours

Availability

Specific information on 2027 unit availability will be available in August

Learning Outcomes

• Analyse and optimise real-world electrical systems, applying advanced diagnostic and troubleshooting techniques to enhance system reliability and performance
• Design and implement smart grid or industrial automation systems, selecting appropriate components and applying relevant standards to ensure operational efficiency and compliance
• Utilise AI technologies to improve decision-making and efficiency in smart grids or industrial automation scenarios
• Communicate complex system designs and operational strategies effectively through detailed professional reports aimed at a consulting audience

Fee Information

2027 fee information will be available in August.

Requisites

Prerequisites

ENG323 Control Systems|ENG324 Data Acquisition and Communications

Teaching

Teaching Pattern	1 x 2 hour lecture per week 1 x 2 hour Tutorial per week 2 hour workshop/labs per fortnight
Assessment	System Analysis Project (30%)|AI Assignment (35%)|Design Project (35%)
Timetable	View the lecture timetable | View the full unit timetable

Textbooks

Required	Required readings will be listed in the unit outline prior to the start of classes.

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.