Statistics

Course Information
TitleΣτατιστική / Statistics
CodeST3
FacultyEngineering
SchoolChemical Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CommonNo
StatusActive
Course ID20000838

Programme of Study: PPS Tmīmatos CΗīmikṓn Mīchanikṓn (2021-2026

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course325

Class Information
Academic Year2013 – 2014
Class PeriodWinter
Faculty Instructors
Weekly Hours4
Class ID
20049025
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
The scope of the course is the introduction of concepts and methods of probability and statistics, which are useful in problems of chemical 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.
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
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures36
Laboratory Work3
Topic presentations3
Total42
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 (http://users.auth.gr/dkugiu/Teach/ChemicalEngineer/index.html)
Last Update
02-09-2013