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.