Network Layer Performance Modeling & Analysis part1

Lecture 17 (Network Layer Performance Modeling & Analysis part1):
This lecture cover topic like:
Probability in networking,Think of Probability as

modeling an experiment,Basic Operation of Events,

Probability of Events,Conditional Probability,

Independence of event,independent and mutually exclusive,

Random Variables,Random Variable as a Measurement,

Probability Mass Function for a Random Variable,

Cumulative Distribution Function,PMF and CDF for the 3 Coin Toss Example,

Expectation of a Random Variable,Important Random Variables: Bernoulli,

Important Random Variables: Binomial,Important Random Variables:

Geometric,Important Random Variables:Poisson,Properties

 of Continuous Random Variables,Expectation of a

Continuous Random Variable,Important Continuous

 Random Variable: Exponential,Exponential Random Variable,

Memoryless Property of the Exponential etc.
download lecture now..