MSc Systems and Signal Processing
Information
This new Msc programme is focused on systems and signal processing, and encompasses contemporary approaches to a broad range of topics at advanced study and research level. The course is structured around a common core of topics in signal processing with specialisms in control and systems theory, image processing and machine learning. The skill base de veloped is highly sought by both the industrial sector (bio-tech, financial services, systems engineering, medical imaging etc) and the academic research community.
The programme is centred around the research base at Southampton, reflecting leading research in ECS in the areas of signal processing, robotics, systems and control theory, image processing and machine learning. The modules have a high mathematical content, and much of the material is strongly computationally based, hence developing strong transfer able skills in algorithmic development and programming.
The core systems and signal processing courses cover deterministic, stochastic, time and frequency domain approaches to filtering, prediction and reconstruction in both discr ete and continuous time settings. State space, behavioural and classical frequency domain approaches are approached in an integrated manner. The optional courses in image proces sing cover recent and classical approaches in computer vision and visual biometrics. Courses in machine learning and intelligent algorithms cover classical approaches and state of the art techniques such as kernel methods and support vector machines and include options such a computational finance. The systems and control courses lead the modern techni ques such as iterative learning control, adaptive methods and robust control, with particular consideration of applications in robotics.
Syllabus
The syllabus for this new course is designed to ensure that all students are exposed to the key topics in all areas. Optional courses provide an opportunity for the latest rese arch in cutting edge areas to be incoporated into the course. The options given here will give you a guide to the content and structure of the MSc. Modules are assessed with a m ixture of coursework and examinations. Some modules are optional and not all options will be available every year, and students must take a total of 60 credits per semester.
Semester 1
- COMP3032 Intelligent Algorithms (Compulsory)
- ELEC3035 Control Systems Design (Compulsory)
- ELEC6021 Research Methods (Compulsory)
- ELEC6099 Signal Processing (Compulsory)
- ELEC6122 Image Processing (Compulsory)
Semester 2
- ELEC6121 Project Preparation (Compulsory)
- ELEC6124 Advanced Systems and Signal Processing (Compulsory)
- COMP3008 Machine Learning (Optional)
- COMP6041 Computational Finance (Optional)
- COMP6058 Computational Finance A (Optional)
- ELEC3026 Digital Control System Design (Optional)
- ELEC6024 Advanced Computer Vision (Optional)
Summer Project
The MSc involves a substantial individual research project lasting three months and worth 60 credits. This give you an opportunity to explore on of the areas covered in the c ourse in depth, with the benefit of supervision by a supervisor who is research active in that area. It is often the case that students are involved directly with existing resea rch projects within the research group, thus providing an opportunity to experience the culture of research and give you valuable experience of taking part in a range of researc h activities.
This course is based within the ISIS research group.
Admissions Tutor: Prof. M. NIranjan