# Statistics

 Title Στατιστική / Statistics Code ST3 Faculty Engineering School Chemical Engineering Cycle / Level 1st / Undergraduate Teaching Period Winter Common No Status Active Course ID 20000838

### Programme of Study: PPS Tmīmatos CΗīmikṓn Mīchanikṓn (2021-sīmera)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course325

 Academic Year 2019 – 2020 Class Period Winter Faculty Instructors Andreana Assimopoulou 39hrs Weekly Hours 3 Class ID 600148831

### Class Schedule

 Building Πολυτεχνείο - πτέρυγα Β (Πολιτικών Μηχ.) Floor Όροφος 2 Hall ΑΙΘΟΥΣΑ 3 (43) Calendar Τετάρτη 11:00 έως 14:00
Course Type 2016-2020
• Background
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
• Face to face
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
• Greek (Instruction, Examination)
Prerequisites
General Prerequisites
MATHEMATICS
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. 3 Labs on SPSS statistics software will help to solve problems of Chemical engineering. Several projects will be conduced by the students that will learn and present in the class some applied sections of statistics.
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
• 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. Statistical Analysis with SPSS and Excel - Optimization with Solver(3 Labs)
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
Softwares: Three practical labs on the statistical software SPSS and Excel are offered.
Course Organization
Lectures100
Laboratory Work
Interactive Teaching in Information Center50
Written assigments
Topic presentations
Total150
Student Assessment
Description
Written exams: 8/10 (provided that the student has succeeded in at least 50% of the exam questions). Project and presentation of a special topic in statistics (optional): 1/10 of the final mark Examination (optional) on the statistical software SPSS (practical lab) : 1/10 of the final mark
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)
• 1η επιλογή «Πιθανότητες και Στατιστική για Μηχανικούς. Μέθοδοι-Εφαρμογές», Γεώργιος Ζιούτας, Eκδόσεις Σοφία, Θεσσαλονίκη 2014. Κωδικός Βιβλίου στον Εύδοξο: 41963482 • 2η επιλογή «Στατιστική», Δημήτρης Ψωινός, Εκδόσεις Ζήτη, Θεσσαλονίκη 1999. Κωδικός Βιβλίου στον Εύδοξο: 11365