Courses

מדעי הנתונים להנדסה (19102)

Abstract:

Descriptive statistics, estimation, properties of estimators and estimation methods, Confidence intervals, testing of statistical hypothesis, tests about the expectation and proportion of a population, goodness of fit and independence tests, simple linear regression logistic regression. Using data analysis software.

מודלים סטוכסטיים (40120)

Abstract:

Binomial and Poisson Processes, Markov Chains in discrete and continuous time - Steady-state analysis and limiting distributions. Birth and Death Processes, Queuing Theory – Poisson i?nput and Exponential service, special Queuing systems.

מבוא להסתברות (90911)

Abstract:

Basic concepts in probability theory: sample space, elementary theorems, combinatorial calculations, conditional probability and independence, random discrete variables, expected value and variance, special random variables,

multivariate variables, central limit theorem. Basic concepts in statistics: statistical estimation and testing, confidence intervals.