Probabilistic Simulation and Graphs

Description

Axiomatic Foundation of the Probability - Measure theory - Conditional expectation – Generators - General Theory of Random Variables - Characteristic Functions - Laws of Large Numbers - Limit Theorems.
Simulation and Probability: Generation of Discrete and Continuous random variable by Simulation - Basic Counting Principles - Recurrent Relations and Generating Functions - The Include-Exclude Principle.
Graphs: Basic notions, connectivity, special graphs, planar graphs, coloring and coloring polynomials, combinatorial optimization.

Course Coordinators

Semester: 
Credit Units (ECTS): 
10.0
ID: 
ΣΜ19, 0745
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