ADB600-01 - RESEARCHES M.A THESIS

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
RESEARCHES M.A THESIS ADB600-01 3rd Semester 4 0 0 30
PrequisitesHaving completed the must master courses
Course languageTurkish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesDiscussion
 
Instructor (s)Faculty members and lecturer 
Course objectiveStudying of 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.
 
ReferencesAll the references related to selected thesis topic in literature 

Course outline weekly

WeeksTopics
Week 1Selecting the thesis topic
Week 2Selecting the thesis topic
Week 3Selecting the thesis topic
Week 4Selecting the thesis topic
Week 5Reviewing all the references with the selected topic
Week 6Reviewing all the references with the selected topic
Week 7Reviewing all the references with the selected topic
Week 8Reviewing all the references with the selected topic
Week 9Preparing the research proposal
Week 10Preparing the research proposal
Week 11Developing a scale
Week 12Developing a scale
Week 13Developing a scale
Week 14Developing a scale

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities1450
Specific practical training00
Assignments00
Presentation1450
Project00
Seminar00
Midterms00
Final exam00
Total100
Percentage of semester activities contributing grade succes050
Percentage of final exam contributing grade succes050
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 4 56
Laboratory 0 0 0
Application000
Specific practical training000
Field activities1020200
Study Hours Out of Class (Preliminary work, reinforcement, ect)1435490
Presentation / Seminar Preparation1411154
Project000
Homework assignment000
Midterms (Study duration)000
Final Exam (Study duration) 000
Total Workload5270900

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Improves knowledge in proficiency level based on the undergraduate level in biology or different disciplines and analyses by using the statistic methods and interprets them.    X
2. Uses theoretical and practical knowledge obtained from his/her field in proficiency level   X 
3. Interprets the knowledge that obtained from his/her field with integrating the acquired knowledge from the other disciplines and comprises new knowledge.   X 
4. Sorts out the encountered problems on his/her field by using the investigation methods.  X  
5. Conducts a study which requires specialization in his/her field independently   X  
6. Improves new strategies to solve encountered and unpredictable complex problems in his/her field by taking responsibility   X 
7. Evaluates the proficiency level knowledge and skills in his/her field in a critical approach and processes his/her learning.  X  
8. Uses informatics and communication technologies with the computer software required in his/her field   X 
9. Has the ability of minding social, scientific, cultural and ethical values in the levels of collecting, interpreting, applying and announcing the data in his/her field.   X 
10. Evaluates the important people, events and cases by minding the results, which take in part in the improvement of his/her field.    X

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