Importance of modeling and simulation of biophysical processes (advantages and disadvantages). Model classification. Electrical model of cell membrane ion channels. GHK voltage equation. Simplified electrical model of cell membrane for a spherical cell. Electrical model of Na–K pump. Electrical resistance of myelinated and unmyelinated axon. Capacitance of axon. Electrical cable model of axon (model parameters per unit length, model voltage equation, analysis of signal propagation equation, spatial and time constants, velocity of signal propagation). Hodgkin–Huxley model (voltage–dependent conduction of Na and K ion channels, model parameters and Hodgkin–Huxley model equation, analysis of influence of model parameters on signal propagation along a neuron). Fitzhugh–Nagumo model (derivation from the Hodgkin-Huxley model, advantages and disadvantages). Modeling blood flow by analogy of cardiovascular system with electrical circuit (peripheral resistance, compliance and intertance, modeling of heart valves). Windkessel effect. 2–, 3– and 4–element Windkessel models (voltage equations of models, analytical solutions for systolic and diastolic phases, and analysis of influence of individual blood vessel parameters). Electrical model of cardiovascular system. Ventricular LVAD pump model. Basic modeling of respiratory system. Characteristics of tumor growth. Modeling tumor growth according to the exponential model. Structural model of tumor population growth. Logistic and Gompertz tumor growth model. Functional model based on cellular kinetics. Modeling tumor growth in the presence of a therapy (chemotherapy, immunotherapy and anti–angiogenic therapy). Modeling and simulation of radio–frequency and microwave ablation of cancer tissue (3D analysis of therapy effects). Introduction to pharmacokinetic modeling methods. Applications of PBPK model for the prediction of absorption, distribution, metabolism and excretion of antibiotics and cytostatics. PBPK model limitations.