| The main objective of this course is the introduction to the concepts and methodologies of applied modeling and simulation in the modern fields of Medicine and Biology, aiming to the prediction capability in issues where experimentation is impossible or very expensive. The issues that are covered in the course are the following: Selected Theory Elements of Probability and Statistics, Random Numbers, Pseudo-random Number Generators, Random Sampling Methods, Variance Reduction Techniques, Markov Series, Hidden Markov Models, Photon Tracing Simulations, Monte Carlo simulations in Medical Imaging and Nuclear Medicine, Monte Carlo simulations in Radioprotection and Radiotherapy, Molecular Dynamics, Applications of HMMs and Monte Carlo in Genomics and Proteomics, Drug Design Simulations, Simulations in Parallel Computing, Applications in Computer Clusters and Grid Architectures.
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