Autonomous Systems

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.