Computer Vision, Robotics and Machine Learning MSc

University of Surrey

Module purpose: This course offers an introduction to image processing and computer vision for those interested in the science and technology of machine vision. It provides background and the theory for building artificial systems that manipulate videos and images and alter or analyse their information content. This is done by various computer algorithms that are discussed, implemented and demonstrated.

This module introduces students to some of the basic ideas and concepts that underlie the development of artificially intelligent machine systems.

This module offers the theory and related applications of advanced deep/machine learning topics and an overview their applications to other fields, such as natural language processing, medical imaging, health, audio, and fintech etc. The deep learning algorithms which will be studied are used widely in industry by AI start-ups to AI tech giants, like, Google, Meta, Microsoft, Amazon, Tesla etc. It provides a background and related theory of deep/machine learning to manipulate data from various domains like image, video, text, audio etc. This is done by various machine learning algorithms that are discussed, implemented, and demonstrated within the module.

Modern robotics brings together many aspects of engineering including electronics, hardware, software and AI. This leads to complex asynchronous systems that requires a systems engineering approach. The Robotics Operating System (ROS), is an extensive community built software suite that underpins most leading-edge robotics development. It provides extensive hardware interfacing and high-level functionality which allows complex systems engineering and control while abstracting away much of the complexity inherent to robotics systems design. This module will use ROS to provide a solid foundation in systems engineering based robotics.

This is an individual student project module giving each student an opportunity to gain realistic experience in developing a solution to a problem from its inception to a demonstrable result. It provides a framework as well as vehicle for exercising all key aspects of project work, from project specification, through literature and technology research, leading to project planning, problem solving as well as design and implementation, culminating in performance assessment, project demonstration, and project evaluation. It also provides a scope for gaining practical experience ininterpersonal skills, use of IT, project management, project reporting and project presentation. The project can be either of engineering design nature or have a research flavour.