Course Information
TitleΣΤΑΤΙΣΤΙΚΗ / Statistics
SchoolCivil Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
Course ID20000104

Programme of Study: PPS TPM - EISAKTEOI APO 2022 KAI EXĪS

Registered students: 0
OrientationAttendance TypeSemesterYearECTS

Programme of Study: PPS TPM (EISACΗTHENTES EŌS KAI 2021)

Registered students: 552
OrientationAttendance TypeSemesterYearECTS
Core program for all studentsCompulsory Course116

Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Class ID
1. ΓΕ0900Dimitris Kugiumtzis, Georgios Zioutas
Course Type 2016-2020
  • Background
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Examination)
Learning Outcomes
The scope of the course is the introduction of concepts and methods of probability and statistics, which are useful in problems of civil engineering. Focus is given on the practical approach of real problems.
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. Descriptive statistics. Parameter estimation. Statistical hypothesis testing. Correlation and simple linear regression.
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
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
Laboratory Work60.2
Written assigments371.3
Topic presentations30.1
Student Assessment
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)
Course Bibliography (Eudoxus)
1. "Πιθανότητες και Στοιχεία Στατιστικής για Μηχανικούς", Γεώργιος Χ. Ζιούτας, εκδόσεις Ζήτη, Θεσσαλονίκη 2003 (Κωδικός Βιβλίου στον Εύδοξο: 11339) 2. "Εφαρμογές Πιθανοτήτων και Στατιστικής στη Μελέτη και Προγραμματισμό Τεχνικών Έργων", A. H.-.S Ang και W.H. Tang, μετάφραση Δ. Παναγιωτακόπουλος, εκδόσεις Αφοί Κυριακίδη, Θεσσαλονίκη, 2003 (Κωδικός Βιβλίου στον Εύδοξο: 4696) 3. Σημειώσεις για το Μέρος Β του μαθήματος, Δημήτρης Κουγιουμτζής, ανατύπωση ΑΠΘ, 2009 (δες ιστοσελίδα μαθήματος:
Additional bibliography for study
Ανεξάρτητα επιλογής δίνονται οι σημειώσεις για το Β' μέρος του μαθήματος από το διδάσκοντα Σημειώσεις για το Μέρος Β του μαθήματος, Δημήτρης Κουγιουμτζής, ανατύπωση ΑΠΘ, 2009 (δες ιστοσελίδα μαθήματος:
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