Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | ZOO-23-146 | APPLIED STATISTICS FOR ANIMAL SCIENCE | Elective | 1 | 3 | 6 |
|
Level of Course Unit |
Second Cycle |
Objectives of the Course |
The aim of this course is to give students useful information about statistical methods used in Animal Science |
Name of Lecturer(s) |
Doç.Dr. Ecevit EYDURAN |
Learning Outcomes |
1 | Hayvancılıkta yaygın olarak kullanılan istatistikleri öğrenmek | 2 | Hayvancılığa ilişkin biyometrik yorumlamalar yapabilmek | 3 | To learn basic information on statistics used commonly in animal science | 4 | To biometrically interpret in animal science |
|
Mode of Delivery |
Daytime Class |
Prerequisites and co-requisities |
None |
Recommended Optional Programme Components |
None |
Course Contents |
Presenting and Summarizing Data
Probability, Random variables, and Distributions
Population, Sample, Parameter Estimation
Testing Hypothesis
Simple and Multiple Linear Regression, Correlation, Nonlinear Regression and Growth Curve Models
Inroduction to Experimental Design, One way ANOVA, , Experimental Error and Blocking
Change-over Designs
Factorial Designs
Nested Designs
Experimental Designs including Blocking
Split-plot Designs
Covariance Analysis in Experimental Design
Classical and Recent Approaches in Repeated Measures Designs
Categorical Data Analysis
|
Weekly Detailed Course Contents |
|
1 | Presenting and Summarizing Data
| | | 2 | Probability, Random variables, and Distributions
| | | 3 | Population, Sample, Parameter Estimation
| | | 4 | Testing Hypothesis
| | | 5 | Simple and Multiple Linear Regression, Correlation, Nonlinear Regression and Growth Curve Models
| | | 6 | Inroduction to Experimental Design, One way ANOVA, , Experimental Error and Blocking
| | | 7 | Change-over Designs
| | | 8 | Factorial Designs
| | | 9 | Nested Designs
| | | 10 | Experimental Designs including Blocking
| | | 11 | Split-plot Designs
| | | 12 | Covariance Analysis in Experimental Design
| | | 13 | Classical and Recent Approaches in Repeated Measures Designs
| | | 14 | Categorical Data Analysis | | |
|
Recommended or Required Reading |
Kaps, M., andLamberson, W.R. (2004). Biostatistics for Animal Science. |
Planned Learning Activities and Teaching Methods |
|
Assessment Methods and Criteria | | Language of Instruction | | Work Placement(s) | None |
|
Workload Calculation |
|
Midterm Examination | 1 | 1 | 1 |
Final Examination | 1 | 2 | 2 |
Self Study | 14 | 10 | 140 |
Individual Study for Mid term Examination | 1 | 15 | 15 |
Individual Study for Final Examination | 1 | 20 | 20 |
|
Contribution of Learning Outcomes to Programme Outcomes |
|
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
|
|
Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
|