IDB600-01 - SPECIAL TOPICS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
SPECIAL TOPICS IDB600-01 3rd Semester 4 0 0 15
PrequisitesHaving completed the required master courses.
Course languageEnglish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
Problem Solving
Other: Writing Master's Thesis  
Instructor (s)Faculty members  
Course objectiveWriting a master's thesis. 
Learning outcomes
  1. By the end of the course; student ? lists the issues related to the field, ? decides on thesis topic ? reviews the literature related with the chosen thesis topic ? formulates the problem statement of the research, ? plans the research proposal, ? collects the research data, ? analyze the data, ? arranges the tables for research findings and evaluates them, ? conclude from the research findings and recommends, ? reports the research, ? defends his/her research.
Course Content1. Selecting the thesis topic,
2. Reviewing all the references with the selected topic,
3. Preparing the research proposal,
4. Developing a scale,
5. Studying on the reliability and validity of the scale,
6. Administering the scale and evaluating the findings,
7. Reporting the research results.
 
ReferencesLiterature related to the topic of the thesis. 

Course outline weekly

WeeksTopics
Week 1Selecting the topic of the thesis
Week 2Selecting the topic of the thesis
Week 3Selecting the topic of the thesis
Week 4Selecting the topic of the thesis
Week 5Reviewing all the literature relevant to the selected topic
Week 6Reviewing all the literature relevant to the selected topic
Week 7Reviewing all the literature relevant to the selected topic
Week 8Reviewing all the literature relevant to the selected topic
Week 9Preparing the research proposal
Week 10Preparing the research proposal
Week 11Preparing the research proposal
Week 12Preparing the research proposal
Week 13Developing a scale
Week 14Developing a scale
Week 15Developing a scale
Week 16Developing a scale

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation00
Project00
Seminar00
Midterms00
Final exam1100
Total100
Percentage of semester activities contributing grade succes00
Percentage of final exam contributing grade succes1100
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 16 4 64
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)1620320
Presentation / Seminar Preparation000
Project000
Homework assignment000
Midterms (Study duration)000
Final Exam (Study duration) 16666
Total Workload3390450

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Language's role, historical development, acquisition, data nature, limits, reliability, and validity are understood.   X 
2. Besides linguistics, can review the current literature of other disciplines approaching language (sociology, psychology, cognitive sciences, etc.) with an interdisciplinary perspective and apply it to various fields.   X 
3. Can analyze natural languages, develop research designs, evaluate scientific sources, perform data analysis, and write research articles.    X
4. Plans, manages, monitors, evaluates academic activities, decides on information access, and applies them.    X
5. Provides solutions to linguistic problems with an interdisciplinary perspective.    X
6. Independently conducts studies, develops strategies for complex problems, and can lead collaborative studies.  X  
7. Critically evaluates knowledge and skills in linguistics and directs them to relevant areas. X   
8. Can systematically communicate studies in written, oral, and visual forms by participating in scientific activities.    X
9. Can communicate effectively in a foreign language and follow the literature.     
10. Can use current computer software and information technologies effectively.     
11. Uses expertise in academic and professional work within the framework of social responsibility and scientific ethical values.X    

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