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.

Evolutionary computation is an exciting area of artificial intelligence that focuses on systematic methods (known as evolutionary algorithms) inspired by Darwinian evolution for getting computers to automatically solve problems starting from a high-level statement of what needs to be done. Evolutionary algorithms are today routinely used to solve difficult problems in industry, medicine, biology, finance, and much more. Evolutionary algorithms can even consistently solve difficult problems which require solutions in the form of computer programs. This is a form of automatic programming that is known as genetic programming. In this module you will learn how to use evolutionary algorithms and genetic programming to solve real-world problems from an international authority in these areas.

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 gives a high-level view of the design process of mechatronics systems. It provides students with background knowledge on mechatronics and discusses applications and types of such systems. The module introduces and builds upon previous knowledge of relevant main components, such as sensors and actuators, and their operational characteristics. The students also get exposed to aspects of mechatronic design, such as dividing a system to subsystems, mechanical design through specialised software, control design, and designing against failure.

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.