School of Computer Science BCS accreditation 2021 - 2026

Artificial Intelligence MEng (Hons) - COMP34212 Cognitive Robotics

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

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

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

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

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

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

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

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

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

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

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