# PROBABILITIES & STATISTICS

 Title ΠΙΘΑΝΟΤΗΤΕΣ & ΣΤΑΤΙΣΤΙΚΗ / PROBABILITIES & STATISTICS Code NCO-02-02 Faculty Sciences School Informatics Cycle / Level 1st / Undergraduate Teaching Period Spring Coordinator Eleftherios Angelis Common No Status Active Course ID 40002918

### Programme of Study: PPS-Tmīma Plīroforikīs (2019-sīmera)

Registered students: 450
OrientationAttendance TypeSemesterYearECTS
GENIKĪ KATEUTHYNSĪCompulsory Course215

 Academic Year 2018 – 2019 Class Period Spring Faculty Instructors Eleftherios Angelis 26hrs Nikolaos Laskaris 26hrs Weekly Hours 4 Class ID 600121282
Course Type 2016-2020
• Background
• General Knowledge
Course Type 2011-2015
General Foundation
Mode of Delivery
• Face to face
Language of Instruction
• Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Set theory, basics of calculus (functions, derivatives, integrals)
Learning Outcomes
Cognitive: Fundamentals of probabilities, random variables and distributions. Methods for data description and statistical inference Skills: The ability to construct and analyze probability models in intuitive and, simultaneously, mathematically accurate manner.
General Competences
• Apply knowledge in practice
• Retrieve, analyse and synthesise data and information, with the use of necessary technologies
• Make decisions
• Work autonomously
• Be critical and self-critical
• Advance free, creative and causative thinking
Course Content (Syllabus)
Basics of probability theory. Conditional probability and Bayes theorem. Random variables and distributions. Descriptive statistics. Graphic representation and statistical measures. Con-fidence intervals. Hypothesis and significance tests. Test for fitting and contingency tables. Regression and correlation. Analysis of variance, Total variance, Distribution of variances. Analysis of variance. Non-parametric tests
Keywords
Probabilities, Statistics
Educational Material Types
• Notes
• Slide presentations
• Book
Use of Information and Communication Technologies
Use of ICT
• Use of ICT in Course Teaching
Description
Illustration of statistical analyses with statistical software
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures26
Tutorial26
Exams98
Total150
Student Assessment
Description
Midterm exams or final written examination. Regarding the midterm exams, the student has to succeed in both of the written exams (mark at least 5/10) . In this case, the final mark is ob-tained as the average of both exams
Student Assessment methods
• Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
Βιβλίο [22768680]: Στατιστική, Κολυβά - Μαχαίρα Φωτεινή, Μπόρα - Σέντα Ευθυμία Βιβλίο [59394390]: Στατιστική Σκέψη στον Κόσμο των Επιχειρήσεων, Aczel Amir Βιβλίο [41965021]: ΣΤΑΤΙΣΤΙΚΗ ΤΟΜΟΣ Α', ΣΤ' ΕΚΔΟΣΗ, ΖΑΧΑΡΟΠΟΥΛΟΥ ΧΡΥΣΟΥΛΑ
Additional bibliography for study
Πιθανότητες και Στατιστική. Συγγραφέας: Γ. Κονόμος, Εκδόσεις Γκιούρδα, 2009.
Last Update
09-10-2020