L7-E1 APPLIED DATA ANALYSIS

Course Information
TitleΑΝΑΛΥΣΗ ΔΕΔΟΜΕΝΩΝ ΚΑΙ ΕΦΑΡΜΟΓΕΣ / L7-E1 APPLIED DATA ANALYSIS
CodeΕ7-Ε1
FacultyEngineering
SchoolSchool of Spatial Planning and Development
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CommonNo
StatusActive
Course ID20002657

Programme of Study: UPS of School of Spatial Planning and Development (2010-today)

Registered students: 61
OrientationAttendance TypeSemesterYearECTS
CoreElective Courses745

Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Weekly Hours4
Class ID
600128290
Type of the Course
  • Skills Development
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
To familiarise with the applied analysis of quantitative data. To practically perform & explain key statistical tests & processes in the social sciences using spatial data. To learn basic functions of the SPSS software.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work autonomously
Course Content (Syllabus)
• Quantitative analysis & research methodology • Data entry & editing, processing & coding variables in SPSS • Exploring the data: descriptive statistics on SPSS • Exploring relations between variables • From descriptive to inferential statistics: testing hypotheses • Correlating variables • Simple linear regression • Multiple regression • Factor analysis • Cluster analysis
Educational Material Types
  • Notes
  • Slide presentations
  • 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
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures521.9
Laboratory Work381.4
Reading Assigment130.5
Written assigments301.1
Exams20.1
Total1355
Student Assessment
Description
Progress tests (2) 60% Classroom applications & exercises (4) 40%
Student Assessment methods
  • Written Exam with Problem Solving (Formative, Summative)
  • Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Δαφέρμος, Β. (2011) Κοινωνική Στατιστική και Μεθοδολογία Έρευνας με το SPSS (2η έκδ.), Εκδόσεις Ζήτη Πελαγία & Σια. (ISBN: 978-960-456-279-4). 2. Howitt D. και Cramer D. (2010) Στατιστική με το SPSS 10 για Windows (4η εκδ.), Εκδόσεις Κλειδάριθμος (ISBN: 978-960-461-321-2) 3. Συμεωνάκη, Μ. (2015) Στατιστική για όλους με το SPSS, Εκδόσεις Σοφία. 4. Δημητριάδης, Ε. (2016) Στατιστική επιχειρήσεων με εφαρμογές σε SPSS και LISREL (2η έκδ.), Εκδόσεις Κριτική. 5. Field, A. (2015) Η διερεύνηση της στατιστικής με τη χρήση του SPSS της IBM, εκδόσεις Προπομπός 6. Χαλικιάς, Μ. , , Π. & και Μανωλέσου, Α. (2016) Μεθοδολογία έρευνας και εισαγωγή στη στατιστική ανάλυση δεδομένων με το IBM SPSS Statistics, Ελληνικά Ακαδημαϊκά Ηλεκτρονικά Συγγράμματα και Βοηθήματα - Αποθετήριο "Κάλλιπος“ (ηλεκτρονικό βιβλίο).
Last Update
29-09-2019