Probability and Statistics

Probability and Statistics

Code:
Semester:
Type:
Direction:

ICE-2002
2nd
Compulsory

Course hours:
Instructors:

Links:

2 Lec – 2 T
Stavros Fatouros (Faculty)Konstantinos Barlas (Laboratory Technical Staff)

Description

The goal of this course is to introduce students to the ideas of population-sample, measurement, errors, random variables and distributions, leading up to the point of using Laplace and Fourier transformations via a probabilistic point of view; all of these concepts are necessary for any input/output system. 

Course content: Population and sample, variables and measurement scales, errors, charts, data analysis, confidence intervals, probability density functions, cumulative distribution functions, discrete distributions (Binomial, Poisson, etc), continuous distributions (Exponential, Uniform, Normal), jointly distributed random variables, maximum likelihood estimators, regression analysis, entropy, stochastic models, characteristic function (Fourier), Moment-generating function (Laplace), Fisher information metric