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The objective of this graduate course is to provide students with the skills and knowledge necessary for computational modeling of biological and physiological systems and interpretation and analysis of biological data using computational techniques. The course covers elements of programming, computational biostatistics, regression analysis, algorithms of bioinformatics, and the numerical solution of algebraic and differential equations including optimization methods and Monte Carlo algorithms. Most lectures are accompanied by computer labs. The course is concluded by the final lab project devoted to a specific biomedical application such as protein-protein docking, neural dynamics, cell signaling, biological transport, or biomechanics.