Want to learn about more advanced programming constructs and techniques? Topics covered in this module include concurrency, distributed programming, design patterns, and others. We will also take a closer look at some of the programming concepts taught previously. The module features a substantial, non-trivial assignment that should help you to hone - and demonstrate - your programming skills.

Computer vision is the discipline that tries to understand the content of images and videos. It has an extraordinarily wide range of applications; well-known ones include inspection on production lines, reading number plates, mixing live and computer-generated action in movies, and recognising faces. However, researchers are working on applications such as driverless cars, building 3D models from photographs, robot navigation, gaming interfaces, and automated medical diagnosis -- in fact, whenever you as a human looks at the world and try to understand what you see is fair game for computer vision. This module introduces you to the principles of computer vision through a series of lectures and demonstrations. You have an opportunity to learn how to use these principles and algorithms on real-world vision problems in the associated laboratories using the industry-standard toolkit, OpenCV.

Embedded systems have become more pervasive and powerful to take on truly sophisticated functions in recent years. When facing with the rapid technical updating and complicated market requirements, the designers have to use advanced design techniques to deal with the complexity. In this module, you will gain the experience of full embedded system design process, and the fundamental knowledge on hardware components and real time programming. The hand-on practice helps your understanding of embedded system design process.

This module aims at introducing students to digital processing techniques, including sampling and analysis of digital signals, signal conditioning, the design of digital filters, and digital signal processing applications. Discrete signals and systems are studied, with an emphasis on the Fourier and Z-transforms that are necessary for the analysis of discrete signals and design of digital filters.

Digital systems are in virtually all devices we interact with: from consumer electronics, to biomedical applications and automotive industry. Digital technology is evolving so rapidly that engineers need rapid-prototyping software and hardware tools that allow them to explore and test an implementation before moving to the production. In this module, learners will gain fundamental circuit design and verification skills by using an industry-standard hardware description language (VHDL) to program field-programmable gate arrays (FPGAs). The learning process is experience-oriented so that hands-on practice in designing embedded systems as well as theoretical background is acquired during the course.