SAY700-02 - SPECIAL SUBJECTS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
SPECIAL SUBJECTS SAY700-02 6th Semester 5 0 0 30
PrequisitesCompletion of courses and success from the proficiency exam
Course languageEnglish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesOther: Thesis Writing  
Instructor (s)Faculty member at the department / Student advisor 
Course objectiveThe objective of this course is to get the student starting his/her data collection or preparation; as well as getting ready for analysis. 
Learning outcomes
  1. Students decide on their data and analysis, and focus on getting ready for analysis.
Course ContentGeneral thesis work with extra attention to data and methodology. 
ReferencesRelated literature 

Course outline weekly

WeeksTopics
Week 1Discussions for methods of the thesis (with advisor)
Week 2Data sources
Week 3Data sources
Week 4Meeting with advisor
Week 5Collecting data or describing variables
Week 6Collecting data or describing variables
Week 7Collecting data or describing variables
Week 8Collecting data or describing variables / Meeting with advisor
Week 9Collecting data or describing variables
Week 10Collecting data or describing variables
Week 11Collecting data or describing variables
Week 12Collecting data or describing variables / Meeting with advisor
Week 13Collecting data or describing variables / Writing methodology section
Week 14Colllecting data or describing variables / Writing methodology section
Week 15Colllecting data or describing variables / Writing methodology section
Week 16Colllecting data or describing variables / Writing methodology section / Meeting with advisor

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities1440
Specific practical training00
Assignments00
Presentation1410
Project00
Seminar00
Midterms00
Final exam150
Total100
Percentage of semester activities contributing grade succes2850
Percentage of final exam contributing grade succes150
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 research methodology, concepts on quantitative research methods, quantitative sampling techniques, learning, implementing, and developing models and techniques in quantitative analysis, theory, and develops skills to transform and improve knowledge into design, implementation, analysis.     X
2. Gains theoretical knowledge on qualitative research methods, theory, and skills to transform and improve knowledge into design, sampling, generating data and analysis, knowledge on differences between methods and their use, improvement/combined use of these methods, evaluation with experts and institutions, focus groups and in-depth interviews, skills to implement them.    X
3. Gains ability to evaluate quality of researches, interpret/improve results with experts and institutions, transform the results into oral/written presentations, and present them at (inter)national meetings.   X  
4. Develops skills to conduct generalizable research, interpret results of analyses, transform them into publications abiding by ethics, gain ability and consciousness to prepare (inter)national projects, evaluate them with experts and institutions.     X
5. Contributes to development of methods by producing a thesis using research methods.     X
6. Follows international publications, communicate with colleguaes, using English at a level no lower than the Common European Framework of References for Languages B2.  X  

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