Close Help Print
 Course module: 202001233
 202001233Probability Theory
 Course info
Course module202001233
Credits (ECTS)3
Course typeStudy Unit
Language of instructionEnglish
Contact persondr. F. Kula
E-mailf.kula@utwente.nl
Lecturer(s)
 Lecturer A. Betken Lecturer dr. F. Kula Contactperson for the course dr. F. Kula Lecturer dr. T.A. Leonida Lecturer dr. A.K. Sinha
Starting block
 2B
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
 Aims
 body { font-size: 9pt; font-family: Arial } table { font-size: 9pt; font-family: Arial } (Mathematics: Probability theory) M1.    …explain and apply the use of elementary probability theory, such as combinatoric probability theory, conditional probability, independence; M2.    …explain and apply probability distributions of one or more random variables, (discrete) conditional probabilities, and compute expectation, variance, and correlation coefficient; M3.    …explain and apply basic discrete and continuous distributions, including binomial, geometric, Poisson, uniform, exponential and normal distributions.
 Content
 body { font-size: 9pt; font-family: Arial } table { font-size: 9pt; font-family: Arial } Sample space, event, axioms of Kolmogorov, combinatorial probability, conditional probability, Bayes` rule, independence, random variable, expectation, variance, standard deviation, density, (cumulative) distribution function and distributions: binomial, hypergeometric, geometric, Poisson, exponential, uniform and normal, joint and conditional distributions, correlation, the distribution of the sum and the mean of independent variables, the Central Limit Theorem and its applications such as the normal approximation of binomial probabilities.
 Module
 Module 4
 Participating study
 Bachelor Technical Computer Science
 Participating study
Required materials