Department of Information & Communication Systems Engineering
University of the Aegean
SCHOOL OF ENGINEERING

Department of Information
& Communication Systems Engineering

Information & Communication Systems Security
Information Systems
Artificial Intelligence
Computer & Communication Systems
Geometry, Dynamical Systems & Cosmology
 
Πιθανότητες και Στατιστική

Title: Πιθανότητες και Στατιστική
Lesson Code: 321-2402
Semester: 2
ECTS: 5
Theory Hours: 3
Lab Hours: 2
Faculty: Kofinas Georgios
 
Content outline
Axiomatic definition of probability, independent events, conditional probabilities, Bayes theorem, combinatorial analysis, discrete and continuous random variables, distribution functions, distributions of special interest: Bernoulli, binomial, Poisson, uniform, exponential, normal, Gamma, Weibull. Joint distribution functions, independent random variables, conditional distributions, moment generating functions, limit theorems, central limit theorem, strong law of large numbers. Descriptive statistics.
 
Learning outcomes
Comprehension of basic notions of combinatorial analysis and probability theory, familiarity with the basic categories of random variables.
 
Prerequisites
Not required.
 
Assessment/Grading Methods
 
Language of Instruction
Greek, English (for Erasmus students)
 
Μode of delivery
Face-to-face.


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