Courses

Introduction to stochastic processes. types of stochastic processes, Poisson process, Bernoulli process, , Markov chanins, types of Markov chanins, Random walk, Gambler's rin problem, Biirth and death processes , , Pure birtth process, Pure death...
Events, experiments, sample space,  , Discrete and continuous random variables, Expectation, , inequalities in probabilities, central limit theorem,conditional probability, Distributions of order statistics, Baye's theorem, generating dunctions,...
This course includes: introduction to the consept of reliability, binary components and systems,  . Paralled systems, Series systems, k-ou-of-n  systms, Coherent systems, structural importance, Systems and components reliability, , reliability...
System and components, Structure functions, Reliability functions, lifedistributions, classes of life distributions, reliability of multistate systems. 
in this course students are expected to Pply the skills of  analysing a a practical problem and use their earlier knowlege in Stat  497 and other courses to write a complete report about  a problem of their choice. , Practical real sets data include...
___Students are exposed in this part of the research course to some quantitative and qualitative data collection, presentation and analysis,  Reporst writingm socumentation, presentation of knowledge, avoidingplagiarism  and technical report writing...
Students are expected tto submit a proposal for a research issue that indicates to original possible contributions. These issues include: Theory of distributions, Statistical inference, Theory of reliability and Life testing, Analysis of real life...
_Students at the Mater of Science in Statistics, recieve an advanced training in selecting a problem and perform a survey and have a good  knowledge of  research and write  research thesis  of good statndard and of, partially,  puublishable research...