Information Package / Course Catalogue
Statistical Applications in Veterinary Medicine
Course Code: VZO506
Course Type: Required
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 1
Prt.: 2
Credit: 2
Lab: 0
ECTS: 4
Objectives of the Course

To teach the descriptive statistics, table and graphic preparation, sampling and sampling methods, theoretical distributions, correlation and regression analysis.

Course Content

The descriptive statistics, table and graphic preparation, sampling and sampling methods, theoretical distributions, correlation and regression analysis

Name of Lecturer(s)
Prof. Mehmet Kenan TÜRKYILMAZ
Learning Outcomes
1.Knows the basic concepts used in statistics, and comment.
2.In the data set, makes comment about the distribution.
3.Makes presentation of the data set with table or graphic.
4.Makes the analysis of the relationships between variables.
5.Knows the sampling methods.
6.The many example can be created from the population.
Recommended or Required Reading
1.Özdamar, K. (1999): SPSS ile Biyoistatistik. Kaan Kitabevi, Eskişehir.
2.Tekin, M.E. (2010): Örneklerle Bilgisayarda İstatistik. Selçuk Üniversitesi Basımevi, Konya
3.Sümbüloğlu, K, Sümbüloğlu, V. (1990): Biyoistatistik. Hatiboğlu Yayınları:53, Ankara
4.Mrode, R.A. (2005): Linear Models for the Prediction of Animal Breeding Values. CABI publishing, Cambridge, USA.
5.Petrie, A., Watson, P. (1999): Statistics for Veterinary and Animal Science. Blackwell Science Ltd.
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Description the basic concepts related to statistics
Week 2 - Theoretical & Practice
Descriptive criteria for the distributions (Arithmetic, harmonic, geometric mean, mode, median, and peak value)
Week 3 - Theoretical & Practice
Prevalence criteria of distribution (standard deviation, standard error, variance, variation coefficient)
Week 4 - Theoretical & Practice
The graphic preparation from data set
Week 5 - Theoretical & Practice
The table preparation from data set
Week 6 - Theoretical & Practice
Sampling
Week 7 - Theoretical & Practice
Sampling methods
Week 8 - Theoretical & Practice
(Mİdterm exam) Theoretical distributions (binominal distribution)
Week 9 - Theoretical & Practice
Theoretical distributions (poisson distribution)
Week 10 - Theoretical & Practice
Theoretical distributions (normal distribution)
Week 11 - Theoretical & Practice
Standard normal distribution
Week 12 - Theoretical & Practice
Correlation analysis
Week 13 - Theoretical & Practice
Regression analysis
Week 14 - Theoretical & Practice
Time series analysis
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140114
Lecture - Practice140228
Assignment101010
Individual Work101515
Midterm Examination115116
Final Examination116117
TOTAL WORKLOAD (hours)100
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
5
OÇ-2
5
OÇ-3
5
OÇ-4
5
OÇ-5
5
OÇ-6
5
Adnan Menderes University - Information Package / Course Catalogue
2026