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EE734 Postgraduate

Advanced Probability and Random Processes for Engineers

Credits
6
Type
Theory
Lecture
3 hr
Self-study
6 hr
Half sem
No

Course Content

Probability spaces, random variables, expectation, uniform integrability, independence, stochastic convergence, limit theorems, conditioning, Markov chains, martingales, Brownian motion, Poisson process, examples from electrical engineering.

Text / References

  1. 1 E. Wong and B. Hajek, Stochastic Processes in Engineering Systems, Springer Verlag, New York, 1984.
  2. 2 L. Breiman, Probability, SIAM, Philadelphia. 1992.