Type: Ph.D., Elective | Credit: 3 | ECTS Credit: 7.5

Basic concepts of soft computing, uncertainty in architecture; Modelling uncertainty; Fuzzy logic and fuzzy set theory; Fuzzy logic approach in architectural design; Fuzzy logic applications in architecture; Chaotic systems, complexity and applications in architecture; Artificial neural networks and learning by back-propagation; Artificial neural networks applications in architecture; Unsupervised learning, self-organizing map, adaptive resonance theory and applications in architecture; Support vector machines and applications in architecture; Nature based algorithms and applications in architecture; Metaheuristic approach in architecture; Particle swarm optimization, local search algorithms and applications in architecture.