# Statistics

 Title ΣΤΑΤΙΣΤΙΚΗ / Statistics Code ΓΕ0900 Faculty Engineering School Civil Engineering Cycle / Level 1st / Undergraduate Teaching Period Winter Common No Status Active Course ID 20000104

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

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course116

### 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: 369
OrientationAttendance TypeSemesterYearECTS
Core program for all studentsCompulsory Course116

 Academic Year 2021 – 2022 Class Period Winter Faculty Instructors Weekly Hours 3 Class ID 600192892
SectionInstructors
1. ΓΕ0900

### Class Schedule

 Building Πολυτεχνείο - πτέρυγα Β (Πολιτικών Μηχ.) Floor Ισόγειο Hall ΑΙΘΟΥΣΑ 5.41/542 (224) Calendar Mercredi 08:00 to 11:00
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. Therefore, students who will attend and succeed in the exams of the Statistics, should be able: -to solve simple problems related to finding probabilities for an event to happen that reaches their object. (12 teaching + 10 hours reading for the test + 8 solving the first test +20 final exams = 50 hours) 1.7 ECTS -to be able to find the basic parameters of random variables and solve practical issues related to the probability functions. (3 teaching + 8 comprehension study + 4 final exam study = 15 hours) 0.5 ECTS -to recognize data models of theoretical distributions and solve problems with random variables that follow the corresponding distributions. (6 teaching + 10 comprehension study + 6 test preparation + 8 exam preparation = 30) 1 ECTS -to be able to estimate parameters or find confidence intervals of the mean values of random variables. (3 teaching + 8 comprehension study + 4 final exam study = 15 hours) 0.5 ECTS -to be able to perform the process of t-test, chi square test and simple regression, either computationally or through the spss program. (15 teaching + 20 comprehension study + 5 test preparation +10 spss study + 20 final exam study = 70) 2.3 ECTS
General Competences
• Apply knowledge in practice
• Retrieve, analyse and synthesise data and information, with the use of necessary technologies
• Make decisions
• 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.
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
Lectures113
Laboratory Work6
Tutorial6
Written assigments37
Exams3
Topic presentations3
Total168
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 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: http://users.auth.gr/dkugiu/Teach/CivilEngineer/index.html