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: Undergradute Studies - School of Informatics (2015-today)

Registered students: 313
OrientationAttendance TypeSemesterYearECTS
Core CoursesCompulsory215

Class Information

Academic Year2015 – 2016
Class PeriodSpring
Faculty Instructors
Weekly Hours4
Class ID
600004956
Type of the Course
  • Background
  • General Knowledge
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
Fundamentals of probabilities, random variables and distributions. Methods for data descrip-tion and statistical inference
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
ActivitiesWorkloadTotal hours of student effort for the semester. Includes lectures, labs, field etc.ECTSThe credit units (ECTS) of the respective teaching activity. Each unit correponds to 30 hours of student workload.IndividualFor the learning activity cooperation between students is not requisiteTeamworkFor the learning activity the students cooperate in teamsErasmusThe learning activity is available to students of exchange programmes
Lectures260.9
Tutorial260.9
Exams983.3
Total1505
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 (SummativeSummative assessment refers to the assessment of the learning and summarizes the development of learners at a particular time.)
Bibliography
Course Bibliography (Eudoxus)
Στατιστική - Θεωρία και Εφαρμογές. Συγγραφείς: Φ. Κολυβά-Μαχαίρα, Ε. Μπόρα-Σέντα, Εκδόσεις Ζήτη, 1998. Επίσης δίνεται αναλυτικό υλικό θεωρίας και ασκήσεων σε μορφή διαφανειών. ΣΤΑΤΙΣΤΙΚΗ ΤΟΜΟΣ Α' ΜΕΘΟΔΟΙ - ΕΦΑΡΜΟΓΕΣ,ΖΑΧΑΡΟΠΟΥΛΟΥ ΧΡΥΣΟΥΛΑ, Εκδόσεις "Σοφία" Στατιστική Σκέψη στον Κόσμο των Επιχειρήσεων, Aczel A., ΕΚΔΟΣΕΙΣ ΠΑΣΧΑΛΙΔΗΣ
Additional bibliography for study
Πιθανότητες και Στατιστική. Συγγραφέας: Γ. Κονόμος, Εκδόσεις Γκιούρδα, 2009.
Last Update
04-06-2016