Information Package / Course Catalogue
Computer Supported Biostatistics
Course Code: VZO605
Course Type: Required
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

To teach descriptive measures, making table and graphics, sample and sampling methods, theoretical distributions, significance tests (Student’s t Test, Analyse of Variance, Chi-Square, Mann-Whitney-U Test, etc), analyse of correlation and regression

Course Content

Statistical concepts, distribution of frequency, descriptive measures, table and graphics, sampling methods, parametric and non-parametric tests, analyse of correlation and regression, use of SPSS Package Program.

Name of Lecturer(s)
Prof. Hüsnü Erbay BARDAKÇIOĞLU
Learning Outcomes
1.to be able Know and annotate statistical concepts.
2.to be able Collect and edit data for any subject.
3.to be able Present data via tables and graphics.
4.to be able Make sufficient samples from the population.
5.to be able Use and annotate significance tests.
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
Basic statistical terms
Week 2 - Theoretical & Practice
Descriptive measures of distribution (arithmetic, harmonic and geometric means, mod and median)
Week 3 - Theoretical & Practice
Widespread measures of distribution (standard deviation, standard error of mean, variance, coefficient of variation)
Week 4 - Theoretical & Practice
Making graphics from a data base
Week 5 - Theoretical & Practice
Presenting data with tables
Week 6 - Theoretical & Practice
Sampling
Week 7 - Theoretical & Practice
Sampling methods
Week 8 - Theoretical & Practice
(Midterm exam) Sampling methods
Week 9 - Theoretical & Practice
Theorical distributions (Binom, Poisson and normal distributions)
Week 10 - Theoretical & Practice
Significance control between two independent means (Student’s t Test)
Week 11 - Theoretical & Practice
Analyze of Variance (ANOVA)
Week 12 - Theoretical & Practice
Analyze of Chi-Squire
Week 13 - Theoretical & Practice
Analyze of correlation and regression
Week 14 - Theoretical & Practice
Analyze of time series
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Assignment501050
Report102020
Midterm Examination110111
Final Examination115116
TOTAL WORKLOAD (hours)153
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
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
PÇ-16
OÇ-1
4
OÇ-2
4
OÇ-3
3
OÇ-4
3
OÇ-5
3
Adnan Menderes University - Information Package / Course Catalogue
2026