SAY600-02 - SPECIAL SUBJECTS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
SPECIAL SUBJECTS SAY600-02 4th Semester 4 0 0 30
PrequisitesCompletion of courses
Course languageEnglish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesOther  
Instructor (s)Faculty member at the department / Student advisor 
Course objectiveThe objective of this course is to get the student carry out their analysis; interpret the findings and get the student complete his/her dissertation work. 
Learning outcomes
  1. Students analyze their data and finish writing their MA thesis.
Course ContentGeneral thesis work with extra attention to data analysis and writing. 
ReferencesRelated literature. 

Course outline weekly

WeeksTopics
Week 1Determining the method of analysis (with advisor)
Week 2Data analysis
Week 3Data analysis
Week 4Data analysis / Meeting with advisor
Week 5Data analysis
Week 6Data analysis
Week 7Interpreting findings/Meeting with advisor
Week 8Interpreting findings
Week 9Writing the results section
Week 10Writing the results section / Meeting with advisor
Week 11Writing the conclusion section
Week 12Writing the conclusion section
Week 13Reviewing and writing the introduction
Week 14General revision / Meeting with advisor
Week 15General revision
Week 16Thesis Defense

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities1450
Specific practical training00
Assignments00
Presentation1410
Project00
Seminar00
Midterms00
Final exam140
Total100
Percentage of semester activities contributing grade succes2860
Percentage of final exam contributing grade succes140
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 5 70
Laboratory 0 0 0
Application000
Specific practical training000
Field activities1420280
Study Hours Out of Class (Preliminary work, reinforcement, ect)1420280
Presentation / Seminar Preparation1417238
Project000
Homework assignment000
Midterms (Study duration)000
Final Exam (Study duration) 13232
Total Workload5794900

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Gains theoretical knowledge on survey methodology.    X
2. Gains knowledge on basic concepts related to quantitative research methods, acquire a theoretical point of view, and develop the skills to transform this knowledge into survey design, implementation and analysis.     X
3. Gains knowledge on sampling techniques used in quantitative methods, and develop generalizable, survey design ability.   X  
4. Gains knowledge on learning and implementing the models and techniques used in quantitative data analysis.     X
5. Gains basic theoretical knowledge on qualitative research methods, theoretical point of view, and develop the skills to transform this knowledge into research design, sampling, generation of qualitative data and analysis.     X
6. Gains knowledge on the differences between quantitative and qualitative research methods and their areas of use.   X  
7. Develops the skills to interpret the results of quantitative and/or qualitative data analyses and transform them into publications that are within academic and ethical rules.     X
8. Gains the ability to evaluate the quality of quantitative and qualitative research and interpret their results.     X
9. Gains the ability to transform the results of quantitative and/or qualitative research results into authentic oral and written presentations, and present them at national and international meetings.     X
10. Gains knowledge, and develops the ability and consciousness to prepare quantitative and/or qualitative research projects within scientific and ethical rules.     X
11. Produces an authentic thesis using quantitative and/or qualitative research methods.     X
12. Follows international publications in the field and communicates with colleagues, using the English language at a level no lower than the Common European Framework of References for Languages B2 level.    X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest