Module code: EMS729P
Credits: 15.0
Semester: SEM2
Contact: Dr Lorenzo Jamone
Overlap: In taking this module you cannot take and not fail ECS794P
This module addresses the emerging field of autonomous systems possessing artificial reasoning skills and also environment and context awareness. The module will introduce students to advance numerical and computational techniques associated with machine learning and artificial intelligence. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their coursework project. Theory and practical applications will be linked through discussion of real systems such as medical robotic surgeons and robotic musicians.
Connected course(s): UDF DATA
Assessment: 60.0% Examination, 40.0% Coursework
Level: 7
