SIM603 - SIMULATION BASED RESEARCH and ETHICS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
SIMULATION BASED RESEARCH and ETHICS SIM603 2nd Semester 3 0 3 6
Prequisites
Course languageTurkish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
 
Instructor (s)Faculty member(s) of the department 
Course objectiveTo inform the postgraduate students about significant points of planning and implementing a ethical, simulation-based research  
Learning outcomes
  1. 1. Know the research methods used in simulation practices.
  2. 2. Learn the key themes in simulation-based researches.
  3. 3. Know the ethical principles on planning, implementing and reporting of a research.
Course ContentResearch methods used in simulation practices, planning and implementing a research, evaluating simulation-based researches in terms of basic ethical principles, learning to conduct and report a simulation-based research in accordance with the publication ethics  
References1. Sokolowski JA, Banks CM (Editors). Modelling and Simulation in the Medical and Health Sciences. Wiley; 2011.
2. Ulrich B, Mancini ME (Editors). Mastering Simulation: A Handbook for Success. Sigma Theta Tau International; 2014.
3. University Press; 2016.
4. Nestel D. Kelly M, Jolly B, Watson M (Editors). Healthcare Simulation Education: Evidence, Theory and Practice. Wiley Blackwell; 2018.
 

Course outline weekly

WeeksTopics
Week 1Types of scientific research methods
Week 2Research methods used in simulation practices
Week 3Determining a simulation-based research subject
Week 4Planning the research
Week 5Implementing the research
Week 6Evaluating and reporting the research outcomes
Week 7Midterm
Week 8Basic ethical concepts
Week 9Basic ethical principles within the concept of simulation practices
Week 10Ethical evaluation of simulation-based researches' benefits
Week 11Ethical evaluation of simulation-based researches' risks
Week 12Ethical evaluation of emerging simulation practices
Week 13Basic concepts about the publication ethics
Week 14Preparing a simulation-based research project draft
Week 15Case evaluation
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation00
Project00
Seminar00
Midterms150
Final exam150
Total100
Percentage of semester activities contributing grade succes150
Percentage of final exam contributing grade succes150
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14456
Presentation / Seminar Preparation21530
Project000
Homework assignment5630
Midterms (Study duration)188
Final Exam (Study duration) 11414
Total Workload3750180

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Define the simulation techniques used in health sciences in the context of hardware, software and education. X   
2. Have the knowledge about theories and approaches that form the basis of simulation-based education in health sciences. X   
3. Develop simulation-based educational programs in the health sciences. X   
4. Carry out simulation-based educational practices in health sciences. X   
5. Use the evaluation methods incorporating simulation in health sciences.  X   
6. Plan and conduct research in health sciences where simulations are used.     X
7. Use simulation enhanced applications in healthcare services.  X   
8. Solve the problems in the field of simulation using high level cognitive processes.   X 
9. Perform the duties and responsibilities as a expert in the field of simulation regarding professional values and ethical principles.     X
10. Update the competencies based on lifelong learning principles for individual and professional development.    X 

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