PROBABILITIES & STATISTICS

Course Information
TitleΠΙΘΑΝΟΤΗΤΕΣ & ΣΤΑΤΙΣΤΙΚΗ / PROBABILITIES & STATISTICS
CodeNCO-02-02
FacultySciences
SchoolInformatics
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorEleftherios Angelis
CommonNo
StatusActive
Course ID40002918

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

Registered students: 383
OrientationAttendance TypeSemesterYearECTS
GENIKĪ KATEUTHYNSĪCompulsory Course215
Class Information
Academic Year2025 – 2026
Class PeriodSpring
Faculty Instructors
Weekly Hours4
Total Hours52
Class ID
600280130
Course Type 2016-2020
  • Background
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
Digital Course Content
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 [33114257]: Εισαγωγή στις πιθανότητες με στοιχεία στατιστικής, Μπερτσεκά Δ, Τσιτστικλή Γ. 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
30-10-2022