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**Advanced Probability and Statistics (6 ECTS)**

The purpose of this course is to provide a methodical advanced background of probability, stochastic processes, and statistics needed to the students to address modelling and assessment issues in resilient computing.

*Contents:*

- Introduction
- Discrete Random Variables
- Continuous Random Variables
- Expectation
- Conditional Distribution and Expectation
- Bayesian probability and inference
- Stochastic Processes

*Suggested Readings:*

K. S. Trivedi: **Probability and Statistics with Reliability, Queuing, and Computer Science Applications**, Second Edition, John Willey & Sons, 2002

*Courseware examples and locations where taught:*

Slides from the same author, available at http://www.ee.duke.edu/~kst/

*Line of teaching*

View this course in the **RKBExplorer**

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