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Probability and Statistics, Short Course

  • Anytime
    Application Deadline
  • 1 month
    Duration
Online
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.

About

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.

Detailed Programme Facts

  • Deadline and start date A student can apply at any time for this programme, there is no deadline.
  • Programme intensity Part-time
    • Average part-time duration 1 months
    • Intensity Flexible
  • Credits
    5 ECTS
  • Languages
    • English
    • Arabic
    • Italian
    • French
  • Delivery mode
    Online
    • Time flexibility
      Fully structured
    • Attendance
      No Attendance
    • Teacher support
      Continuous support with feedback on request

Programme Structure

Courses include:

  • Lesson n. 1: Introduction
  • Lesson n. 2: Sample Space and Events
  • Lesson n. 3: Set Theory and Operations
  • Lesson n. 4: Definition of Probability
  • Lesson n. 5: Counting Techniques
  • Lesson n. 6: Conditional Probability
  • Lesson n. 7: Independence and Bayes Theorem
  • Lesson n. 8: Discrete Random Variables
  • Lesson n. 9: Continuous Random Variables
  • Lesson n. 10: Cumulative Distribution Function
  • Lesson n. 11: Expectation and Variance
  • Lesson n. 12: Joint Probability Function
  • Lesson n. 13: Conditional Probability Function
  • Lesson n. 14: Conditional Expectation
  • Lesson n. 15: Some Discrete Distributions
  • Lesson n. 16: Some Continuous Distributions
  • Lesson n. 17: Graphical Methods for Describing
  • Lesson n. 18: Describing Data with Numbers
  • Lesson n. 19: Statistical Inference
  • Lesson n. 20: Confidence Intervals for One Sample

Lecturers

Prof. Eleni Tsolaki - University of Crete (Heraklion/Crete - Greece)

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

  • to have a connection to the Internet. For optimum use an ADSL connection is suggested.
  • to have installed on one's own system one of the principal browsers available, for example: Microsoft Edge
  • Note: Internet Explorer 11 on Windows 7 is not supported.
  • On the Linux platform it is possibile to access films in streaming by installing the proper codec on one's own mutimedia player of choice.
  • On MacOs, browser Safari, in the Privacy settings disable "Prevent Cross-Site Tracking".
  • On iOS, browser Safari, in the Privacy settings disable "Prevent Cross-Site Tracking".
  • to have installed on one's own system the software Adobe Acrobat Reader in order to view materials in pdf format.

Tuition Fee

  • International

    180 EUR/year
    Tuition Fee
    Based on the original amount of 180 EUR per year and a duration of 1 months.
  • National

    180 EUR/year
    Tuition Fee
    Based on the original amount of 180 EUR per year and a duration of 1 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Funding

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