Aims and Fit of Module

The module on Intelligent Control and Soft Computing focuses on the design and implementation of Artificial Intelligence (AI) methods such as Artificial Neural Networks (ANNs) and Fuzzy Logic Controllers (FLCs). Students gain hands-on experience in MATLAB & SIMULINK, Python, and related environments, enabling them to develop practical skills. The module combines theoretical concepts with practical application development, allowing students to tackle modern engineering problems and get hands-on experiences in implementing AI methods. By the end of the module, students will be able to analyze concepts, develop FLCs and ANNs, implement ANNs for complex problems, and diagnose intelligent systems for optimal performance. The syllabus covers Intelligent Control Systems, Fuzzy Logic Controllers, Fuzzy Sets and Relations, Fuzzy Control, and Neural Networks.

Learning outcomes

A.	Analyse intelligent control concepts and soft computing from an intelligent perspective
B.	Develop a Fuzzy Logic Controller Systems (FLCs), incorporating advanced methodologies to optimize performance
C.	Design and implement an Artificial Neural Networks (ANNs), demonstrating proficiency in design and practical implementation
D.	Diagnose Intelligent Systems (ANNs & FLCs) for optimum performance & stability

Method of teaching and learning

The teaching philosophy of the module follows very much the philosophy of Syntegrative Education. This means that the teaching delivery pattern, which follows more intensive block teaching, allows more meaningful contributions from industry partners. This philosophy is carried through also in terms of assessment, with a reduction in the use of exams and an increase in coursework, especially problem-based assessments that are project-focused.

This module will be delivered through a combination of lectures, group discussions, case studies, hands-on practical exercises, etc.

Lectures and group discussions are conducted using the Problem-Based Learning paradigm focusing on student-centred learning, where students develop critical thinking and problem-solving skills to address open-ended problems that lack a straightforward solution.

This module is taught with an emphasis on student learning through practice and by projects, facilitated by a module leader, and where appropriate, industrial mentors. Students can identify particular areas of learning needs or interests according to the available project(s).
They will conduct independent research to gather information and resources to better define the problem. Progress towards the learning outcomes will be facilitated and monitored, where students are guided to progressively address the given problem through tasks. Independent learning will form an important aspect of the educational activities in this module.

Assessed by a project , students shall gain practical experience in undertaking independent study and research on industry-focused real-world problems.