Mechatronics

Description

Introduction. Data, information, knowledge, wisdom. Information and decision making.
Knowledge based systems. Knowledge acquisition, representation and coding. Ontologies. Knowledge analysis.
Evolutionary algorithms. Types and models, elements, mechanisms, operators, use.
Agents. Characteristics and categories of agents. Multiple agent systems. Swarm intelligence.
Machine learning. Supervised, unsupervised and semi-supervised learning. Reinforcement learning. Deep learning. Learning algorithms/models: decision trees, random forests, neural networks, Support Vector Machines, Naïve Bayes.
Decision Support Systems (DSS). Decision theory. DSS architectures and communication systems. Structured decision modeling, simulation in DSS, information systems for DSS. Group decision systems. OLAP systems, visual analytics, spatial DSS.
Intelligent systems and DSS applications in several domains, e.g. medicine, transport, industry.