This course introduces the fundamentals of intelligent systems technologies and their broad engineering applications, involving essential topics such as Proportional-Integral-Derivative (PID) control, engineering optimisation, and modeling and control of dynamic systems using neural network techniques. It will introduce the principles of knowledge-based systems, fuzzy logic, artificial neural networks, evolutionary computing and explore how intelligent machines and automation processes could benefit from the application of these technologies. It will also discuss knowledge representation, knowledge acquisition, decision making mechanisms, learning and machine learning, as well as highlight the applications of these technologies in various engineering domains, with particular emphasis on their role in the optimisation of automation processes, control engineering and robotics.

CILO-1: Apply advanced concepts and techniques from mathematics, science, and engineering to solve problems related to intelligent systems. CILO-2: Communicate effectively using technical terminology and visual aids to describe and explain the design and operation of intelligent systems. CILO-3: Utilize modern engineering tools such as scientific computing software, machine learning techniques, and control systems to simulate, design, and optimize intelligent systems.