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Computational systems

Introduction and terminology - Evolutionary methods - Montecarlo simulation - Genetic Algorithms - Gray coding - Parameters coding - Crossover - Mutation - Selection (by sorting, tournament, elitist) - - Optimization and genetic algorithms – Examples of optimization problems - Schemata - Schemata order and length - Schemata theorem - Genetic programming - Polish notation - Trees crossover - Tree mutation - Solving problemd with genetic programming - Parallel architectures (mesh, hypercube, pyramids) – Examples of parallel algorithms – Speed-up, Overhead.

Text-book: Zbigniew Michalewicz, Genetic Algorithms + Data Structure = Evolution Programs, Springer, 1996.

Advanced methods for data-analysis

Statistical methods - Regression (linear, generalized) - Multivariate data-analysis - Statistical Inference - Bayesian models and Networks - Learning and generalization - Principal Component Analysis - Neural Networks - Decision trees

Text-book: M.Berthold, D.j.Hand, Intelligent Data Analysis (An introduction)