Computational Intelligence

This course prepares students to explain the concepts and paradigms of computational intelligence, apply evolutionary algorithms, fuzzy logic and swarm intelligence to solve optimisation and decision-making problems, and analyse the performance of computational intelligence methods. Study materials: Artificial Intelligence (AI).

Topics

1. Concepts and paradigms of computational intelligence
2. Genetic and evolutionary algorithms
3. Fuzzy logic and fuzzy inference systems
4. Swarm intelligence
5. Application to optimisation problems
6. Performance analysis of computational intelligence methods

Each course outcome derives from one programme outcome.

1. CPMK-AIDE-02

   Students are able to build an applied decision basis by optimising computing performance through simultaneous processing, and apply the principles of computing ethics

   CPLP03
2. CPMK-AIDE-01

   Students are able to design and implement advanced artificial intelligence modelling to analyse diverse large-volume data through the management of structured data storage infrastructure.

   CPLP03

CPLP03

Develop advanced artificial intelligence models and manage big data, and build applied decision support with attention to optimal performance and computing ethics.