| Statistics and Probability Theory |
| Module Type: |
General Foundation |
| Module Code: |
322 |
| Syllabus: |
Random variables (discrete and continuous), Probability distributions,
distribution parameters, and various distributions: Binomial, Normal, Poisson,
Bernoulli, Gamma, Exponential, etc. Basic concepts of Statistics, Estimation theory,
Space of reliance, combinatorial analysis, random variable functions. |
| Module Aims-Objectives: |
Introduce students to basic elements and concepts of probability theory and stochastic models.
Upon completing this module students should be able to effectively use statistics tools and employ them for testing the performance of data networks. |
| Bibliography: |
• S. G. Kounias, «Statistics and Probability Theory lessons»,
Thessalonikh, 1977
• Lecture notes |
|
