Research methodology and Data Analysis

Course Information
TitleΜεθοδολογία Έρευνας και Ανάλυση Δεδομένων / Research methodology and Data Analysis
CodeMIS-106
Interdepartmental ProgrammeManagement and Information Systems
Collaborating SchoolsInformatics
Economics
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter
CommonNo
StatusActive
Course ID600015138

Programme of Study: Management and Information Systems

Registered students: 18
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses116

Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
  • Nikolaos Mittas
Weekly Hours3
Total Hours39
Class ID
600125017
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)
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
Lectures200.7
Laboratory Work200.7
Project401.3
Written assigments401.3
Exams602
Total1806
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
12-04-2019