Courses
- Data Science for Engineers (19102)
- Stochastic Models (40120) Course summary:
- Introduction to Probability (90911) Course summary:
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.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.