KPR700-02 - SPECIAL SUBJECT

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
SPECIAL SUBJECT KPR700-02 6th Semester 5 0 0 30
PrequisitesHaving completed the must PhD courses
Course languageTurkish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesDiscussion
Preparing and/or Presenting Reports
Drill and Practice
Other  
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
  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, reports the research, 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 1Preparing the research proposal,
Week 2Preparing the research proposal,
Week 3Preparing the research proposal,
Week 4Preparing the research proposal,
Week 5Developing a scale
Week 6Developing a scale
Week 7Developing a scale
Week 8Developing a scale
Week 9Developing a scale
Week 10Developing a scale
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
Presentation1410
Project00
Seminar00
Midterms00
Final exam00
Total60
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 knowledge, educational and teaching materials that will guide clinical applications and academic studies in cardiopulmonary rehabilitation, plans, conducts, and carries out original research, uses appropriate statistical methods, analyzes and reports.    X
2. Transfers the evidence-based knowledge obtained through scientific research using the up-to-date technological tools required in cardiopulmonary rehabilitation to clinical applications, publishes his/her results in national and international peer-reviewed journals, and presents them at scientific meetings related to cardiopulmonary rehabilitation.    X
3. Shows commitment to ethical standards in conducting and publishing research and implements the principles of lifelong learning.    X
4. Uses up-to-date information in cardiopulmonary rehabilitation for the benefit of society and contributes to national and international policies developed to improve public health.    X
5. Works with qualified knowledge and skill accumulation that can develop programs and creative solutions in education training and consultancy.    X
6. Communicates at an equal level in academic and professional environments in writing, speaking and visually using at least one foreign language.    X
7. Can resolve conflicts by planning, implementing, and distributing tasks in a disciplinary leadership and management position in academic and scientific environments.    X

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