Information Package / Course Catalogue
Biological Data Analyzes
Course Code: BYL436
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 3
Objectives of the Course

Biyolojik araştırmalarda kullanılan temel veri analiz yöntemlerini SPSS ve STATISTICA paket programlarını kullanarak kavratmak

Course Content

Biyolojik araştırmalarda kullanılan temel veri analiz yöntemlerini SPSS ve STATISTICA paket programlarını kullanarak kavratmak

Name of Lecturer(s)
Learning Outcomes
1.to be able to clasify data types
2.to be able to enter the data in related statistical package correctly
3.to be able to decide the correct test
4.to be able to recalculate data when necessary
5.to be able to perfom descriptive statistics
6.to ble to carry out comparative tests of all types of two groups
7.to be able to identify the degree and direction of relationships between groups
8.to be able to comment on the results obtained from the data analysis
Recommended or Required Reading
1.Lecture notes
Weekly Detailed Course Contents
Week 1 - Theoretical
General descriptions about statistics and data types, introduction to SPSS ans STATISTICA statictics packages
Week 2 - Theoretical & Practice
Entering the data to statictical packages, desription of data and transfering the data from Excel to SPSS and STATISTICA
Week 3 - Theoretical & Practice
Desriptive statistics, Frequency analysis and crosstabs
Week 4 - Theoretical & Practice
Practice of frequency distribution, crosstab and desriptive statistics
Week 5 - Theoretical & Practice
Test of normal distribution and redescription of data
Week 6 - Theoretical & Practice
Parametric tests for the comparison of two data sets
Week 7 - Theoretical & Practice
Student t- test and its application (Verbal examination)
Week 8 - Theoretical & Practice
One-sample t test and its application (mid term exam)
Week 9 - Theoretical & Practice
Pair sample t test and its application
Week 10 - Theoretical & Practice
One-way ANOVA
Week 11 - Theoretical & Practice
Nonparametric tests fort he comparsion of two data sets
Week 12 - Theoretical & Practice
Mann Whitney U test
Week 13 - Theoretical & Practice
Krusskall Wallis test
Week 14 - Theoretical & Practice
Correlation and simple linear regression
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Verbal Examination1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory151245
Reading120112
Midterm Examination110111
Final Examination110111
TOTAL WORKLOAD (hours)79
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
OÇ-1
4
OÇ-2
4
OÇ-3
4
OÇ-4
4
OÇ-5
4
OÇ-6
4
OÇ-7
4
OÇ-8
4
Adnan Menderes University - Information Package / Course Catalogue
2026