Statistics

Course Information
TitleΣΤΑΤΙΣΤΙΚΗ / Statistics
CodeGGN 210Y
FacultySciences
SchoolGeology
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorChristina Anagnostopoulou
CommonNo
StatusActive
Course ID40001774
Class Information
Academic Year2021 – 2022
Class PeriodSpring
Faculty Instructors
Weekly Hours4
Class ID
600192046
Course Type 2016-2020
  • Background
  • Skills Development
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Learning Outcomes
The course aims to: • Help students to understand and use the basic concepts of statistics and probability theory. • Description and analysis of quantitative data through the application of descriptive statistics. Students will be able to use fundamental concepts for data analysis, such as: a) Data type recognition, b) Data presentation with statistic plots and estimation of basic statistical measures. • Analysis and understanding of the basic methods of statistics and its applications. Students will be able to work on the topics of estimation, confidence interval assessment, hypothesis testing, simple and multiple regression, ANOVA test, Correlation.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Design and manage projects
  • Appreciate diversity and multiculturality
  • Respect natural environment
  • Demonstrate social, professional and ethical commitment and sensitivity to gender issues
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Elements of probability theory - Distributions of some useful statistics - Descriptive statistics - Methods of point estimation - Confidence intervals and tests of hypotheses for the mean, the variance and the proportion for one and two samples - Test of Goodness -of Fit - Contingency tables - Tests of homogeneity - the method of least squares - Regression - Tests of hypotheses and Confidence intervals in simple linear Regression - Simple, multiple and partial correlation coefficient.
Keywords
Descriptive statistics, Probability theory, Probability Distribution, Regression, Correlation
Educational Material Types
  • Notes
  • 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
Quality management system of the Quality Assurance Unit (MO.DI.P.)
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures692.3✓✓
Tutorial782.6✓✓
Exams30.1✓✓✓
Total1505
Student Assessment
Description
Quality management system of the Quality Assurance Unit (MO.DI.P)
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative, Summative)
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
ΣΤΑΤΙΣΤΙΚΗ ΜΕ SPSS, ΠΕΡΙΕΧΕΙ ΘΕΩΡΙΑ ΠΙΘΑΝΟΤΗΤΩΝ, ΖΑΦΕΙΡΟΠΟΥΛΟΣ ΚΩΣΤΑΣ, ΜΥΛΩΝΑΣ ΝΙΚΟΣ, ISBN: 9789604186808, ΣΥΓΓΡΑΜΜΑ ΔΙΑΘΕΤΗΣ (ΕΚΔΟΤΗΣ): ΤΖΙΟΛΑΣ
Additional bibliography for study
ΣΤΑΤΙΣΤΙΚΗ. ΠΕΡΙΛΗΠΤΙΚΗ ΘΕΩΡΙΑ - ΑΣΚΗΣΕΙΣ, ΝΙΚΟΣ ΦΑΡΜΑΚΗΣ,ISBN: 960-8183-18-9 ΣΤΑΤΙΣΤΙΚΗ, ΚΟΛΥΒΑ - ΜΑΧΑΙΡΑ ΦΩΤΕΙΝΗ, ΜΠΟΡΑ - ΣΕΝΤΑ ΕΥΘΥΜΙΑ,2Η ΕΚΔ./2012 ISBN: 978-960-456-350-0
Last Update
25-03-2020