MSc Autonomous & Intelligent Systems - Aims and Learning Outcomes

Background

This exciting new programme covers the major aspects of Control and Systems Engineering with emphasis on System Autonomy and Intelligence. Autonomous systems is a fast changing area and has applications in a range of modern engineering disciplines including computer science, mechanical engineering, electrical and electronic engineering and materials science engineering. You will develop an extensive understanding of the field of autonomous and intelligent systems, and study a broad range of modules to support and enhance your learning.

You will be taught by world-leading experts from the department of Automatic Control & Systems Engineering. The teaching will include lectures, seminars, tutorials, individual assignments and a major research project.

This course provides the multi-disciplinary knowledge and skills you will need to meet the demand for experts in autonomous and intelligent systems.

Aims

The aims of the programme are to:
1. Provide access to a Masters level degree course in autonomous and intelligent systems.
2. Provide students with in-depth knowledge and understanding of this rapidly evolving subject area.
3. Develop in students a desire for self-improvement, strong inter-personal skills, an independence of thought, and a critical approach to evidence, theories and concepts in a research led environment.
4. Provide teaching that is underpinned and invigorated by the research interests of the staff.
5. Improve and augment the existing transferable skills of students, preparing them for a professional career in the field of Autonomous and Intelligent Systems.
6. Give students the opportunity to undertake a significant research-led project in a particular aspect of Autonomous and Intelligent Systems.

Learning Outcomes

Knowledge and Understanding:

On successful completion of the programme, students for the MSc will have the knowledge and understanding of:
K1 Fundamental principles of engineering science relevant to broad-based autonomous systems.
K2 Sound understanding of how to use acquired knowledge effectively and efficiently in all aspects of work in the relevant areas of engineering.
K3 Sound knowledge and understanding of how to apply advanced techniques to problems at the frontiers of knowledge.
K4 Deep knowledge and advanced understanding of specialist areas within autonomous and intelligent systems..
K5 Advanced understanding of the use of information technology for analysis, synthesis and design.
K6 Advanced understanding of the analytical and design methods used in autonomous systems.
K7 Advanced understanding of the essential and advanced concepts of autonomous and intelligent systems specific to control systems engineering.
K8 Deep knowledge and understanding to explain broad based techniques for examining autonomous systems issues.

Intellectual Skills:

On successful completion of the programme, students for the MSc will be able to:
I1 Gather, organise and critically evaluate information needed to formulate and solve problems, having a critical understanding of this process.
I2 Analyse and interpret experimental and other numerical data.
I3 Display creativity and innovation in solving unfamiliar problems.
I4 Exercise creativity, independent thought and judgement demonstrated in an item of individual advanced project work.

Practical Skills:

On successful completion of the programme, students for the MSc will have:
P1 Skills in oral and written communications appropriate for the presentation of technical information and interaction with specialists in other areas of engineering.
P2 Abilities in observation, measurement and the design and conduct of experiments through practical experience in the laboratory.
P3 Skills in writing computer programs to perform analysis of engineering problems.
P4 The ability to use commercial computer software for analysis, synthesis and design.

General Transferable Skills:

On successful completion of the programme, students for the MSc will be able to:
T1 Demonstrate skills in personal organisation, time management and self-motivation.
T2 Work collaboratively with others through the development of team skills.
T3 Use IT tools effectively, including industry standard software such as Simulink and Matlab.
T4 Communicate effectively both orally and in writing relating to both qualitative and quantitative information, designed to present essential scientific and technical concepts, of autonomous and intelligent systems.
T5 The ability to apply research methodology.

Students leaving with a PgC/ PgD exit award will have covered all learning outcomes except K4, I3, I4, T5.