REH700-04 - SPECIAL SUBJECTS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
SPECIAL SUBJECTS REH700-04 8th Semester 5 0 0 30
PrequisitesHaving completed the must PhD 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. Lists the issues related to the field, Decides on thesis topic
  2. Reviews the literature related with the chosen thesis topic Formulates the problem statement of the research,
  3. Plans the research proposal, Collects the research data,
  4. Analyze the data, Arranges the tables for research findings and evaluates them,
  5. Conclude from the research findings and recommends, conclude from the research findings and recommends,
  6. Reports the research,
  7. Defends his/her research.
Course ContentSelecting the thesis topic, Reviewing all the references with the selected topic, Preparing the research proposal, Developing a scale, Studying on the reliability and validity of the scale, Administering the scale and evaluating the findings, Reporting the research results. 
ReferencesAll the references related to selected thesis topic in literature 

Course outline weekly

WeeksTopics
Week 1Evaluating the findings
Week 2Evaluating the findings
Week 3Evaluating the findings
Week 4Evaluating the findings
Week 5Reporting the research results
Week 6Reporting the research results
Week 7Reporting the research results
Week 8Reporting the research results
Week 9Reporting the research results
Week 10Reporting the research results
Week 11Reporting the research results
Week 12Reporting the research results
Week 13Reporting the research results
Week 14Reporting the research results

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. Produces new information, training and instructional materials to guide clinical practice and academic studies in the field of Physiotherapy and Rehabilitation, plans, makes, conduct original research, uses the appropriate statistical methods, analysis and reports.    X
2. Uses methods and technological tools required for his/her field. Transfers information obtained as a result of his scientific research at the level of evidence to the clinical practices. Publishes results in the national and international refereed journals. Makes presentations at scientific meetings.    X
3. Shows a commitment to ethical standards in research and publication process, conforms the principles of lifelong learning.     X
4. Uses the current knowledge in the field of physiotherapy and rehabilitation for the benefit of society, contributes to policies made for improving public health at national and international level.     X
5. Works with accumulation of qualified knowledge and skills as developing creative solutions in the field of education and counseling programs.    X
6. He/she could make plans, implement them and distribute tasks in a cross disciplinary academic and scientific environments, he/she is capable of solving conflicts.    X
7. Communicates at equivalent levels in academic and professional circles by using at least one foreign language as oral, written, and visually.    X

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