Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
BIOSTATISTICS AND EXPERIMENTAL DESIGN 11304039 3 + 0 3.0 6.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals To transfer basic information about biostatistics and experiment planning.
Course Content Definition of biostatistics and its importance in livestock, Descriptive features, Sampling and population parameters, Distributions, prevalence measures of distribution, Variance, standard deviation, standard error, Tables and graphs, Significance tests and comparisons between groups, Significance tests and comparisons between groups, Principles to be followed in experiments , experimental error, choosing a trial design, Principles to be followed in experiments, experimental error, choosing a trial design, Random plots experimental design, random blocks experimental setup, Random plots experimental setup, random blocks experimental setup, Factorial trial designs, latin square trial design, correlation and regression, Factorial trial designs, latin square trial design, correlation and regression. Interpretation of research results
Learning Outcomes 1) Knows sampling, population parameters, distributions and prevalence measures of distribution.
2) Has knowledge about variance, standard deviation and coefficient of variation
3) Has knowledge of significance tests.
4) Comprehends correlation and regression.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Definition of biostatistics and its importance in animal husbandry Lecture; Case Study
Colloquium
Brain Based Learning
Homework Presentation (Including Preparation Time)
2. Week Descriptive features Lecture
Colloquium
Brain Based Learning
Presentation (Including Preparation Time)
3. Week Sampling and population parameters Lecture; Case Study
Colloquium
Brain Based Learning
Presentation (Including Preparation Time)
4. Week Distributions, prevalence measures of distribution Lecture; Case Study
Colloquium
Brain Based Learning
Presentation (Including Preparation Time)
5. Week Variance, standard deviation, standard error Lecture; Case Study
Colloquium
Brain Based Learning
Presentation (Including Preparation Time)
6. Week Tables and charts Lecture; Case Study
Colloquium
Brain Based Learning
Presentation (Including Preparation Time)
7. Week Significance tests and intergroup comparisons Lecture; Case Study
Colloquium
Brain Based Learning
Homework Presentation (Including Preparation Time)
8. Week Significance tests and intergroup comparisons Lecture; Case Study
Colloquium
Brain Based Learning
Homework Presentation (Including Preparation Time)
9. Week Principles to be followed in experiments, experiment error, selection of trial design Lecture; Case Study
Colloquium
Brain Based Learning
Presentation (Including Preparation Time)
10. Week Principles to be followed in experiments, experiment error, selection of trial design Lecture; Case Study
Colloquium
Brain Based Learning
Presentation (Including Preparation Time)
11. Week Random plots experimental setup, random blocks experimental setup Lecture; Case Study
Colloquium
Brain Based Learning
Presentation (Including Preparation Time)
12. Week Random plots experimental setup, random blocks experimental setup Lecture; Case Study
Colloquium
Brain Based Learning
Presentation (Including Preparation Time)
13. Week Factorial trial designs, latin square trial design, correlation and regression Lecture; Case Study
Colloquium
Brain Based Learning
Presentation (Including Preparation Time)
14. Week Factorial trial designs, latin square trial design, correlation and regression. Interpretation of research results. Lecture; Case Study
Colloquium
Brain Based Learning
Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Kutsal, A., Alpan, O., Arpacık, R. (1990). İstatistik Uygulamalar. Bizim Büro Basımevi, Ankara.
Özdamar, K. (2001). SPSS ile Biyoistatistik. Kaan Kitabevi, Eskişehir.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4
PY155555
PY255555
PY355555
PY450000

*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)
Course Duration (Total weeks*Hours per week) 14 2
Homework 14 2
Midterm Exam 1 6
Time to prepare for Midterm Exam 7 6
Final Exam 1 6
Time to prepare for Final Exam 14 6
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information