RESEARCH METHODOLOGY AND DATA ANALYSIS

Course Information
TitleΜΕΘΟΔΟΛΟΓΙΑ ΕΡΕΥΝΑΣ ΚΑΙ ΑΝΑΛΥΣΗ ΔΕΔΟΜΕΝΩΝ / RESEARCH METHODOLOGY AND DATA ANALYSIS
CodeIM-214
Interdepartmental ProgrammeInterdisciplinary MSc on Informatics and Management 2015-today
Collaborating SchoolsInformatics
Economics
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorEleftherios Angelis
CommonNo
StatusActive
Course ID40000290

Programme of Study: Interdisciplinary MSc on Informatics and Management 2015-today

Registered students: 25
OrientationAttendance TypeSemesterYearECTS
InformaticsElective Courses217.5
ManagementElective Courses217.5

Class Information
Academic Year2015 – 2016
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
  • Nikolaos Mittas
Weekly Hours3
Class ID
600011030
Type of the Course
  • Skills Development
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)
Prerequisites
General Prerequisites
Probabilities and Statistics
Learning Outcomes
Knowledge of statistical concepts and methods using statistical software - application to real problems
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Data analysis with statistical program (SPSS). Coding and data entry. Definition of variables. Descriptive statistics (tables, plots and numerical measures). Statistical inference. Parametric and non-parametric hypothesis tests. Statistical models and prediction. The course hosts lectures on issues related to Research Methodology as: Aims of the survey methodology. Selection and delineation of the research. Use of available time and the treatment of Stress. Overview of Special Contributors.
Keywords
Data analysis, statistics
Educational Material Types
  • Notes
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
Description
Use of statistical software
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures190.6
Laboratory Work200.7
Total391.3
Student Assessment
Description
Final project (40%) and final exams (60%)
Student Assessment methods
  • Written Assignment (Summative)
  • Oral Exams (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Discovering Statistics Using SPSS. Andy Field,2005, SAGE Publications
Additional bibliography for study
Σημειώσεις του διδάσκοντα, διαφάνειες
Last Update
19-09-2013