# Probability and Statistics

 Title ΘΕΩΡΙΑ ΠΙΘΑΝΟΤΗΤΩΝ ΚΑΙ ΣΤΑΤΙΣΤΙΚΗ / Probability and Statistics Code ΜΑ0301 Faculty Engineering School Electrical and Computer Engineering Cycle / Level 1st / Undergraduate Teaching Period Spring Coordinator Dimitris Kugiumtzis Common No Status Active Course ID 20000615

 Academic Year 2019 – 2020 Class Period Spring Faculty Instructors Weekly Hours 5 Class ID 600144772
Course Type 2016-2020
• Background
Course Type 2011-2015
General Foundation
Mode of Delivery
• Face to face
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
• Greek (Instruction, Examination)
Learning Outcomes
Upon successful completion of the course, the students will have a good understanding of the fundamental principles of probability and probability distributions of random variables, as well as their application to problems of engineering. Further, they will be able to do the basic statistical analysis of data of one and two quantities (random variables) in engineering problems. Specifically, they will be able to estimate main statistical characteristics of the variable of interest, such as the mean and variance, reporting the estimation accuracy, as well as the (linear) correlation and regression of two variables of interest.
General Competences
• Apply knowledge in practice
• Retrieve, analyse and synthesise data and information, with the use of necessary technologies
• Work autonomously
• Work in teams
Course Content (Syllabus)
Probability and statistics with mechanical applications. Fundamental concepts in probability. Conditional probability, independence and related conepts. Random variables and probability distribution functions. Properties of random variables. Probability distributions for discrete and continuous variables. Functions of random variables. Descriptive statistics. Parameter estimation. Correlation and simple linear regression.
Keywords
Probability, statistics
Educational Material Types
• Notes
• Slide presentations
• Multimedia
• Book
Use of Information and Communication Technologies
Use of ICT
• Use of ICT in Course Teaching
• Use of ICT in Laboratory Teaching
Description
Computer programs: A practical lab on the statistical software SPSS is offered. Multimedia: The interactive educational statistical program VESTAC is presented in the class. Webcasts for the practical lab on the statistical software SPSS are available through the course web page.
Course Organization
Lectures48
Laboratory Work12
Topic presentations3
Total63
Student Assessment
Description
Written exams: 80% of the final mark (provided that the student has succeeded in at least 50% of the exam questions). Project on Probability: 10% of the final mark Project on Statistics (practical essay on the basis of the statistical software SPSS or presentation of a special topic in statistics): 10% of the final mark
Student Assessment methods
• Written Assignment (Formative, Summative)
• Performance / Staging (Formative, Summative)
• Written Exam with Problem Solving (Formative, Summative)
• Report (Formative, Summative)
• Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
1. "Πιθανότητες για Μηχανικούς, Μέθοδοι-Εφαρμογές", Γεώργιος Χ. Ζιούτας, εκδόσεις Σοφία, Θεσσαλονίκη 2005 (Κωδικός Βιβλίου στον Εύδοξο: 513) 2. "Στοιχεία Πιθανοθεωρίας", Λεωνίδας Καμαρινόπουλος, εκδόσεις Ζήτη, Θεσσαλονίκη 1993 (Κωδικός Βιβλίου στον Εύδοξο: 11380) 3. Σημειώσεις για το Μέρος Β του μαθήματος, Δημήτρης Κουγιουμτζής, ανατύπωση ΑΠΘ, 2010 (http://users.auth.gr/dkugiu/Teach/ElectricEngineer/index.html)
Last Update
02-12-2020