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MOOC Massive Open Online Courses (Academic Year 2018/2019)

Probability and Statistics


Credits: 6
Content language:Arabic
Course description
The course of Probability and Statistics is a fundamental teaching in the curriculum of a degree program pertaining to the Faculty of Engineering. This course provides the basic tools of probabilistic calculation and the basics of statistics, useful for understanding any other scientific and technical course. It exercise the student with a logical-deductive method for determining a correct approach in solving problems of more complex nature.
Prerequisites
Basic linear algebra and calculus.
Objectives
The course of Probability and Statistics for the Faculty of Engineering has as its main goal to lead the student to acquire, starting from elementary properties of the concepts of probability, the necessary expertise in the statistical calculation.
Program
  • Probability spaces. Discrete and continuous random variables.
  • Expected value and variance.
  • Independence, conditional expected value.
  • Statistical inference: statistical models, extimation, test, linear and log-linear models.
Book
G.R. Grimmett, D.Welsh, Probability: An Introduction
Exercises
The exercises copy the macro arguments on which the course is structured. However, there are insights to better understand some little-intuitive arguments.
Professor
Professor not available
Video professors
Prof. Eleni Tsolaki - University of Crete (Heraklion/Crete - Greece)
List of lessons
    •  Lesson n. 1: Introduction  Go to this lesson
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