Computational Intelligence

Computational Intelligence (CI) is a relatively new area which is becoming more and more important in society today and in the future, especially due to the growing possibilities of gathering data and the need for intelligent systems. CI deals with nature-inspired computational methodologies and approaches to solve complex problems for real world challenges to which traditional methodologies and approaches are ineffective or infeasible. As such, CI methodologies and approaches aim at creating intelligent systems by using innovative and nature-inspired algorithms.

This course is designed for those who are interested in designing and developing intelligent systems and about to start research in computational intelligence. The course will focus on the main CI approaches and methodologies, namely artificial neural networks, genetic algorithms, swarm optimization, and fuzzy systems. The course is a research-based course and therefore focuses on leading students to investigate the current state of research in CI areas as well as to gain comprehensive theoretical knowledge from scientific research about the basic concepts and features of CI methodologies and approaches. The course is very practical-oriented and hands-on since it focuses on showing students real world applications of CI approaches and guides them to use their theoretical knowledge to design and build CI algorithms for solving real world problems. Furthermore, the course aims at encouraging students to critically think and reflect about the learned concepts and algorithms as well as emphasizes discussions among students on CI related topics.