Information Package / Course Catalogue
Biostatistics-I
Course Code: BİS501
Course Type: Required
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

The importance of biostatistics, data presentation, summarizing, sample selection, basic knowledge on statistical comparisons.

Course Content

Definitions and Terminology, Data Collection Method; Compilation of Information, Graphics; Means, Distribution dimensions, Probability, Binomial Probability and Distribution; Poisson distribution and probability, sampling; Hypothesis Testing, Normal Distribution; Normal Distribution and z-test; t Distribution and Test; Analysis of Variance (one-way, two way); Chi-Square Distribution and the Test; Non-Parametric Tests; Regression Analysis; Correlation Analysis

Name of Lecturer(s)
Prof. İmran KURT ÖMÜRLÜ
Learning Outcomes
1.To be able to Understand the Importance of Statistical Methods in Studies
2.To be able to Understand the Points to Be Considered in Designing the Experimental
3.To be able to Decide Enough Sample Holdings
4.To be able to Prepare Analysis of Research Data
5.To be able to Interpret the Results of Analysis
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic definitions and concepts
Week 1 - Practice
Applications with package programs
Week 2 - Theoretical
Editing and graphically analyzing data
Week 2 - Practice
Applications with package programs
Week 3 - Theoretical
Descriptive statistics
Week 3 - Practice
Applications with package programs
Week 4 - Theoretical
Probability, Binomial probability and distribution
Week 4 - Practice
Applications with package programs
Week 5 - Theoretical
Poisson distribution and probability
Week 5 - Practice
Applications with package programs
Week 6 - Theoretical
Hypothesis testing
Week 6 - Practice
Applications with package programs
Week 7 - Theoretical
Normal distribution and z-test
Week 7 - Practice
Applications with package programs
Week 8 - Intermediate Exam
Midterm exam
Week 9 - Theoretical
t distribution and t tests
Week 9 - Practice
Applications with package programs
Week 10 - Theoretical
One-way analysis of variance
Week 10 - Practice
Applications with package programs
Week 11 - Theoretical
Non-parametric tests
Week 11 - Practice
Applications with package programs
Week 12 - Theoretical
Non-parametric tests
Week 12 - Practice
Applications with package programs
Week 13 - Theoretical
Chi-square distribution and test
Week 13 - Practice
Applications with package programs
Week 14 - Theoretical
Regression and correlation analysis
Week 14 - Practice
Applications with package programs
Week 15 - Theoretical
Literature review and discussion
Week 15 - Practice
Literature review and discussion
Week 16 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Assignment110010
Quiz142142
Midterm Examination120222
Final Examination120222
TOTAL WORKLOAD (hours)152
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
5
4
4
4
4
5
5
5
5
OÇ-2
5
5
4
5
4
4
5
5
5
5
OÇ-3
5
4
4
4
5
4
4
4
5
5
OÇ-4
5
4
5
5
5
5
3
4
4
4
OÇ-5
5
4
5
4
4
4
4
4
5
5
Adnan Menderes University - Information Package / Course Catalogue