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
CommonYes
StatusActive
Course ID20002657

Programme of Study: PPS Tmīmatos Mīchanikṓn CΗōrotaxías kai Anáptyxīs (2020-sīmera)

Registered students: 8
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses745

Class Information
Academic Year2016 – 2017
Class PeriodWinter
Faculty Instructors
Weekly Hours5
Class ID
600062330
Course Type 2016-2020
  • Skills Development
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
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work autonomously
Course Content (Syllabus)
 Quantitative analysis and research methodology  Research design, sampling and data collection  Data entry, testing and editing on SPSS  Exploring the data  Descriptive statistics using SPSS  Exploring relations between 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
Lectures52
Laboratory Work38
Reading Assigment13
Written assigments30
Exams2
Total135
Student Assessment
Description
Progress tests (2) 60% Classroom applications & exercises (4) 40%
Student Assessment methods
  • Written Assignment (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)
Last Update
29-09-2017