STATISTICS I

Course Information
TitleΣΤΑΤΙΣΤΙΚΗ I / STATISTICS I
Code12ΥΑ03
FacultyEconomic and Political Sciences
SchoolEconomics
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorAndreas Mattas
CommonYes
StatusActive
Course ID100001403

Programme of Study: UPS School of Economics (2013-today)

Registered students: 904
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course116

Class Information
Academic Year2020 – 2021
Class PeriodWinter
Instructors from Other Categories
Weekly Hours4
Class ID
600177993
Course Type 2016-2020
  • Background
  • General Knowledge
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
  • Distance learning
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
After finishing the course the student will be able to A) Understand basic statistical concepts and methods of descriptive statistics B) Calculate and analyses data of all measurements C) Acknowledge, and manage problems of the probability theory, D) Mastering data representation E) Use statistical software packages and tools for data analyses
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
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Descriptive Statistics: presentation of data, descriptive measures. Introduction to Probability Theory, conditional probability, stochastic independence. Random variables, univariate discrete and continuous distributions. Sampling methods and sampling distributions.
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
  • Use of ICT in Student Assessment
Description
- Powerpoint presentations - Statistical software (SPPS) at the Lab - Course webpage with supplementary teaching material
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures521.9
Laboratory Work301.1
Reading Assigment271.0
Project260.9
Written assigments301.1
Exams30.1
Total1686
Student Assessment
Description
Participation to Lab sessions, tutorials, and assignments. Oral exams.
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Assignment (Summative)
  • Oral Exams (Summative)
  • Written Exam with Problem Solving (Summative)
  • Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
Βιβλίο [22768741]: ΕΦΑΡΜΟΣΜΕΝΗ ΣΤΑΤΙΣΤΙΚΗ, ΤΑΜΠΑΚΗΣ ΝΙΚΟΛΑΟΣ, ΧΑΨΑ ΞΑΝΘΙΠΠΗ Λεπτομέρειες Βιβλίο [59381285]: Εισαγωγή στη Στατιστική, Νικόλαος Σαριαννίδης, Γεώργιος Κοντέος Λεπτομέρειες Βιβλίο [77120360]: ΣΤΑΤΙΣΤΙΚΗ ΤΟΜΟΣ Α', Ζ' ΕΚΔΟΣΗ, ΖΑΧΑΡΟΠΟΥΛΟΥ ΧΡΥΣΟΥΛΑ Λεπτομέρειες
Last Update
26-01-2021