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Artificial Intelligence BSc (Hons) - COMP34212 Cognitive Robotics
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2.1.1 Knowledge and understanding of facts, concepts, principles & theories
The unit builds students' knowledge and deep understanding of research-level issues in cognitive robotics and the latest machine learning approaches (e.g. deep learning).
Assesement : Examination
Assesement : Examination
2.1.2 Use of such knowledge in modelling and design
Students learn to design and carry out a deep learning simulation study, to practice the use of the theoretical knowledge to a practical implementation problem.
Assesement : Individual coursework
Assesement : Individual coursework
2.1.3 Problem solving strategies
Students learn to select, justify and apply AI and machine learning algorithms to specific robotics problems.
Assesement : Examination, Individual coursework
Assesement : Examination, Individual coursework
2.1.5 Deploy theory in design, implementation and evaluation of systems
Students learn to use a set of libraries and tools to implement the selected machine learning methods.
Assesement : Examination, Individual coursework
Assesement : Examination, Individual coursework
2.1.6 Recognise legal, social, ethical & professional issues
There is a lecture on ethics of AI and robotics, the students explicitly learn about AI-related ethics issues.
Assesement : Examination
Assesement : Examination
2.1.8 Knowledge of management techniques to achieve objectives
The labs and coursework requires the practice and development of project planning and monitoring skills.
Assesement : Individual coursework
Assesement : Individual coursework
2.2.1 Specify, design or construct computer-based systems
Students use libraries and dataset to build and test an AI (visual recognition and classification) system.
Assesement : Individual coursework
Assesement : Individual coursework
2.2.2 Evaluate systems in terms of quality and trade-offs
Lectures and exams focus on evaluation and selection of different methods and algorithms,
Assesement : Examination
Assesement : Examination
2.2.4 Deploy tools effectively
The coursework report is an opportunity to reflect and evaluate the use of AI and robot vision tools.
Assesement : Individual coursework, Lab work
Assesement : Individual coursework, Lab work
3.1.4 Knowledge and understanding of mathematical and/or statistical principles
The machine learning component requires the consideration of the underlying maths models.
Assesement : Examination, Individual coursework
Assesement : Examination, Individual coursework
4.1.3 Knowledge and understanding of computational modelling
The whole units covers a variety of computational modelling methods in robotics and AI
Assesement : Examination, Individual coursework
Assesement : Examination, Individual coursework