Virtual University

Scaling of Gaussian RV, Standard Gaussian Events, Joint Distributions, Pair of RVs (V-U)

Failure of TV Set Example, Gaussian RV (V-U)

Set Theory (V-U)

Function of two RVs, Evaluation of Fz(Z), CDF & PDF of Z = X + Y (V-U)

Trains on a Junction, A local bus stop, Random line partition (V-U)

Function of two RVs, Evaluation of Fz(Z), CDF & PDF of Z = Y / X, CDF & PDF of Z = max (X, Y) (V-U)

Transformation of RVs, Conditional Expectation, Co-variance and Correlation (V-U)

Introduction to Probability and Stochastic Processes (V-U)

Transient and recurrent Markov chains, Return times of recurrent states (V-U)

Joint Probability, Conditional Probability, Total Probability (V-U)

Transition probabilities, Stochastic matrix, Stationary probability distribution (V-U)

Markov chains with infinite state space (V-U)

Vector RVs, Transforming Vector RVs (V-U)

Mean of Transformed RV, Height Distribution of Humans Example, Higher Moments (V-U)

1 Routing and Switching – Course Information (V-U)

10 Accessing an IOS Device (V-U)

100 ACL Creation & Placement (V-U)

101 Packet Tracer – Configuring Multiarea OSPFv2 , Part (V-U)

102 Packet Tracer – Configuring Multiarea OSPFv2 , Part – 2 (V-U)

103 Packet Tracer – Configuring Multiarea OSPFv3 (V-U)

104 Configuring Standard IPv4 ACLs , Part (V-U)

105 Configuring Standard IPv4 ACLs , Part -2 (V-U)

121 Port Farwarding (V-U)

106 Modify IPv4 ACLs (V-U)

122 Packet Tracer – Building a Simple Network (V-U)