Course Summary
This course will introduce students to some of the fast growing and fascinating research areas in Intelligent Systems technologies.
Students will gain a working knowledge of data analytics techniques, including neural networks, regression analysis, optimisation and evolutionary computation. The students will also gain some exposure to expert systems, and be capable of applying these techniques in a variety of engineering applications.
The objectives of the course are:
- In-depth understanding of specialist bodies of knowledge within the engineering discipline
- Application of established engineering methods to complex engineering problem solving
- Fluent application of engineering techniques, tools and resources to solve engineering challenges
- Gain basic understanding of the underlying principles and philosophy of computational intelligence systems technologies
- Be capable of modelling engineering systems with data analytics technologies
- Be capable of correctly identifying existing analytics techniques for engineering applications
- Engineering problem modelling and solving through the relationship between theoretical, mathematical, and computational modelling for predicting and optimising performance and objective
- Be capable of constructing intelligent systems that perform useful engineering tasks