Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
ADVANCED RESEARCH TECHNIQUE 57401852 1 + 0 1.0 2.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors Nuray YAZIHAN
Assistants
Goals Under this program, planning of different research designs, modelling and use of different experimental disease models will be discussed
Course Content In this program, design of different researches, sampling, data analysis, ethical approaches, modeling of different systems will be evaluated in different experimental models
Learning Outcomes 1) LO1. Develop theoretical knowledge at the level of expertise based on basic competencies in the areas of food health nutrition and metabolism.and oral, gastric and intestinal parts of the gastrointestinal system
2) LO2. Understands the interdisciplinary interaction of health- food- nutrition and metabolism fields.
3) LO3. Evaluate nutritional status and basic approaches in healthy individuals and in different clinical situations

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week general research methods Question Answer; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
2. Week Ethical issues Question Answer; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
3. Week sampling Question Answer; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
4. Week power analysis Question Answer; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
5. Week methodology Question Answer; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
6. Week project writing-novality Question Answer; Discussion; Case Study
Brainstorming
Project Based Learning 		Presentation (Including Preparation Time)
7. Week project writing-data mining Question Answer; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
8. Week project writing-methodology Question Answer; Discussion; Case Study
Brainstorming
Project Based Learning 		Presentation (Including Preparation Time)
9. Week project writing-equipment Question Answer; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
10. Week project writing-budget Question Answer; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
11. Week project writing-risk analysis Question Answer; Discussion; Case Study
Brainstorming
Project Based Learning 		Presentation (Including Preparation Time)
12. Week poject resourses Question Answer; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
13. Week sample project Question Answer; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
14. Week sample project Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Handbook of Laboratory Animal Science, Second Edition: Animal Models, 2. cilt Jann Hau, Steven J. Schapiro, Gerald L. Van Hoosier, Jr. 2002 CRC Press ISBN 1420040928, 9781420040920

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3
PY15555
PY25000
PY35000
PY45000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
. 14 1
Course Duration (Total weeks*Hours per week) 14 1
Work Hour outside Classroom (Preparation, strengthening) 14 1
Homework 2 1
Presentation (Including Preparation Time) 2 1
Midterm Exam 1 1
Time to prepare for Midterm Exam 1 1
Final Exam 1 1
Time to prepare for Final Exam 1 1
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload