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: 148
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course325
Class Information
Academic Year2025 – 2026
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Total Hours39
Class ID
600280245
Course Type 2016-2020
  • Background
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
MATHEMATICS
Learning Outcomes
The aim of the course is to introduce concepts and methods of probability and statistics that are useful in chemical engineering problems. Particular emphasis is placed on the practical approach to real-world problems. The course also aims to teach students how to use statistical analysis software to solve problems, to understand the application of statistics in engineering sciences, and to compare theoretical problem-solving with computational approaches
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Generate new research ideas
  • Advance free, creative and causative thinking
Course Content (Syllabus)
1. Introduction and Descriptive Statistics 2. An Introduction to Probability 3. One-Dimension Random Variables and probability distribution Functions 4. Some important Probability Distributions for discrete and continuous variables ( Bernoulli – Binomial, Poisson, Uniform, Normal, Χ2, Student) 5. Parameter Estimation (Point estimation, Confidence Interval estimation) 6. Statistical hypothesis testing (Mean, Variance, Proportion, of one and two distributions) 7. Regression and Correlation 8. Introduction to Statistical Quality Control & Reliability Engineering 9. Introduction to Design of Experiments 10. Using software for Statistical Analysis - Optimization with Solver
Keywords
Probability, statistics
Educational Material Types
  • Notes
  • Slide presentations
  • Multimedia
  • Interactive excersises
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Description
Practical training is carried out using statistical analysis software.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures100✓
Laboratory Work✓
Reading Assigment
Interactive Teaching in Information Center50✓
Written assigments
Topic presentations✓✓
Total150
Student Assessment
Description
In order to pass the course, the student must accumulate at least 5 points in total (from assignments and exams combined). During the written exam, the student is allowed to use a calculator. A formula sheet will also be provided. The statistical tables included in the formula sheet can be found in the final pages of the Statistics textbooks and notes, as well as on the course page on the e-learning platform. The evaluation criteria are presented in detail on the e-learning platform.
Student Assessment methods
  • Written Exam with Extended Answer Questions (Formative, Summative)
  • 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)
- Βιβλίο [112702629]: ΠΙΘΑΝΟΤΗΤΕΣ ΚΑΙ ΣΤΑΤΙΣΤΙΚΗ ΓΙΑ ΜΗΧΑΝΙΚΟΥΣ 5η ΕΚΔΟΣΗ, ΖΙΟΥΤΑΣ ΓΕΩΡΓΙΟΣ - Βιβλίο [143553127]: Εισαγωγή στις Πιθανότητες και τη Στατιστική για Μηχανικούς και Επιστήμονες, Ross S. M. - Βιβλίο [11365]: Στατιστική, Ψωινός Δημήτριος Π.
Last Update
10-09-2025