Stochastic Models for Communications

Related lectures (30)

Page 1 of 3

Covers ordinary linear homogeneous differential equations of the second order with constant coefficients.

Covers universality and rotational invariance in isoradial graphs and their implications in statistical mechanics.

Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.

Covers the theorems of superposition and colouring for Poisson processes.

Covers ordinary linear homogeneous differential equations, focusing on the harmonic oscillator equation and its solutions.

Covers expressing sums and products using trigonometric functions step by step.

Covers stochastic models for communications, focusing on random variables, Markov chains, Poisson processes, and probability calculations.

Covers the definition and examples of limits at a point in calculus.

Covers the introduction and operations of complex numbers in physics and engineering applications.