Probabilities

Printer-friendly version
Title: 
Probabilities
Course ID: 
ΓΕ0143
Course Description: 
Semester: 
2nd
Διδάσκων: 
ΕCTS: 
4,5
Compulsory
Description: 

 

Sample spaces, events, probability, products and sample spaces, finite sample spaces, counting rules, conditional probability, the multiplication rule, the law of total probability and Bayes’ rule, independence. Discrete random variables: Random variables, the probability distribution of a discrete random variable, functions of discrete random variables, the Bernoulli and Binomial distribution, the Geometric distribution, the Hypergeometric distribution, the negative Binomial distribution, the Poison distribution; Continues random variables: Probability density functions, functions of continues random variables, the uniform distribution, the exponential distribution, the normal distribution;

 

Class schedule: 
Theory: Monday, 09.00-12.00
Class schedule: 
Tutorials: Tuesday, 09.00-12.00
Recommended Reading:
  1. Koutras, Μ., Introduction to probability. Theory and Applications, Volume 1, Stamoulis, 2004
  2. Koutras, Μ., Introduction to probability. Theory and Applications, Volume 2, Stamoulis, 2004
  3. Hoel, P., Port, S., Stone, C, Introduction to probability theory, Crete University Press, 2009
  4. Ross, S., A first course in probability, Klidarithmos, 2011
  5. Walpole Ronald E., Myers Raymond H., Myers Sharon L., Ye Keying, Probability and Statistics, Tziola, 2019
  6. Montgomery Douglas- Runger C. George, Applied probability and statistics for engineers, Tziola, 2017
  7. Papoulis Athanasios,Pillai S. Unnikrishna, Probability, random variables and stochastic processes, Tziola, 2019