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Autonomous Systems
Master of Electrical EngineeringSpecialisation (formal)Year: 2022
Overview
Intended learning outcomes
On completion of this course, graduates will:
- Be able to apply fundamental knowledge of automatic control, signal processing, estimation and learning theory in the design and implementation of autonomous systems that can perceive situations, plan, and make decisions
- Be able to apply fundamental knowledge of robust estimation, control, and optimisation in the design and implementation of decision-making systems for uncertain, dynamic environments using first principles and data-informed modelling techniques
- Have developed the ability to create systems that can collaborate safely, reliably, and predictably across cyber, physical, and societal layers based on practical experience within the context of small-scale problems involving hardware, software, and human components
- Be able to apply systematic and design-oriented (system) engineering approaches to the conduct and management of autonomous system design projects and communicate the outcomes.
Last updated: 12 November 2022
Structure
112.5 credit points
The Autonomous Systems specialisation is completed by undertaking nine specific subjects (112.5 credit points).
Note: Students entering the course with advanced standing who plan on completing a specialisation may need to enrol in core specialisation subjects in their commencing semester. Please check and follow the structure outlined for your intended specialisation and seek course planning advice.
To obtain a specialisation in Autonomous Systems, students must complete:
- 62.5 credit points of Year 2 core specialisation subjects
- 50 credit points of Year 3 core specialisation subjects
Year 1:
- 100 credit points of Year 1 compulsory subjects
Year 2:
- 62.5 credit points of Year 2 core specialisation subjects
- 12.5 credit points of Year 2 Electrical Engineering selectives
- 25 credit points of electives
Year 3:
- 50 credit points of Year 3 core specialisation subjects
- 50 credit points of electives
Progression: The core subject lists are divided into specific year levels, reflecting the recommended order of completing the course. There is, however, some flexibility between Year 2 and 3 core subjects, depending on the requisites set between them. Check the individual Handbook entries of these subjects for more detail.
Subject Options
Year 2 core specialisation subjects
Code | Name | Study period | Credit Points |
---|---|---|---|
ELEN90054 | Probability and Random Models |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
ELEN90055 | Control Systems |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
ELEN90064 | Advanced Control Systems | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
ELEN90058 | Signal Processing |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
ELEN90066 | Embedded System Design |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
(Must be completed in Year 2 of the course)
Year 3 core specialisation subjects
Code | Name | Study period | Credit Points |
---|---|---|---|
ELEN90052 | Advanced Signal Processing | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
ELEN90090 | Autonomous Systems Clinic | Semester 1 (On Campus - Parkville) |
12.5 |
ENGR90037 | Engineering Capstone Project Part 1 |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
ENGR90038 | Engineering Capstone Project Part 2 |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
(Must be completed in Year 3 of the course)
Last updated: 12 November 2022