Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
- ARC1105 1. Semester 3 + 0 4.0 3.0
Prerequisites None
Language of Instruction Turkish
Course Level Associate
Course Type
Mode of delivery face to face
Course Coordinator
Instructor(s) SONGÜL BİR
Assistants
Goals Learning how to collect data in beekeeping using scientific approach methods, evaluate data, analyze data with statistical programs, make presentations and prepare research reports.
Course Content - Acquisition of analytical thinking - Acquisition of scientific approach in beekeeping - Understanding the systematic approach to problem solving - Gaining the habit of using literature knowledge
Learning Outcomes - - Acquisition of analytical thinking - Acquisition of scientific approach in beekeeping - Understanding the systematic approach to problem solving - Gaining the habit of using literature knowledge
Weekly Topics (Content)
Week Topics Learning Methods
1. Week What is the scientific method and how is it applied in beekeeping?
2. Week Article scanning, review and application of knowledge
3. Week Article scanning, review and application of knowledge
4. Week Cardex creation and reporting
5. Week Types of scientific data and their collection
6. Week Obtaining performance data in beekeeping
7. Week Obtaining performance data in beekeeping
8. Week Bilimsel verilerin analizi
9. Week Analysis of scientific data
10. Week Analysis of scientific data
11. Week Interpretation and presentation of analysis results
12. Week Basic statistical applications in beekeeping
13. Week Basic statistical applications in beekeeping
14. Week Basic statistical applications in beekeeping
Recommended Sources
Arıkan, R., 2012, Araştirma Yöntem Ve Teknikleri, Nobel Kitapevi, ANKARA
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 Measurement Method
PY1 5 0 -
PY2 5 0 -
PY3 5 0 -
PY4 4 0 -
PY5 4 0 -
PY6 4 0 -
PY8 5 0 -
PY9 3 0 -
PY10 1 0 -
PY12 5 0 -
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Hours 14 2 28
Preparation, After Class Study 12 1 12
Research 10 1 10
Other Activities 10 1 10
Midterm 1 1 1 1
Homework 1 15.5 1 15.5
Final 1 1 1
Total Workload 77.5
ECTS Credit of the Course 3.0