Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Biostatistics SKY223 3. Semester 3 + 0 3.0 4.0
Prerequisites None
Language of Instruction Turkish
Course Level Undergraduate
Course Type
Mode of delivery Theorical and Presantation
Course Coordinator Prof. Dr. Yalçın KARAGÖZ
Instructors Yalçın KARAGÖZ
Assistants
Goals The purpose of the statistics I course; The student's ability to think with numerical data and to understand and interpret what lies behind the numbers, to analyze and interpret the basic concepts of statistics, descriptive statistics, types of scientific research, averages, distribution measures, deviation from normality measures, graphic drawings, probability and limit theorems
Course Content Basic concepts of statistics, variables, scale levels, descriptive statistics, types of scientific research, averages, distribution measures, deviation from normality measures, graphic drawings, probability and limit theorems will be explained
Learning Outcomes - Student; Will be able to analyze and interpret basic concepts of statistics, variables, scale levels, descriptive statistics, types of scientific research, averages, distribution measures, deviation from normality measures, graphic drawings, probability and limit theorems
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Basic Concepts, Variables and Their Types, Measurement and Scale Levels Preparation, After Class Study Practice Verbal Expression
2. Week Organizing Data, Frequency Distributions Practice Verbal Expression
3. Week Types of Scientific Research (Observational Research, Experimental Research) Practice Verbal Expression
4. Week Parametric Means (Arithmetic Mean, Geometric Mean, Harmonic Mean, Squared Mean) Verbal Expression Practice
5. Week Nonparametric Means (Mode, Median, Quantiles) Verbal Expression Practice
6. Week Parametric Measures of Distribution (Mean Deviation, Standard Deviation, Variance, Coefficient of Variation) Practice Verbal Expression
7. Week Nonparametric Measures of Distribution (Variation Range, Quartile Range, Decile Range) Verbal Expression Practice
8. Week Measures of Deviation from Normality (Normality, Skewness, Kurtosis, Elimination of Skewness) Verbal Expression Practice
9. Week Graphic Drawings of Numerical and Categorical Data Practice Verbal Expression
10. Week Probability (Counting, Permutation, Combination, Basic Concepts of Probability, Classical Probability, Experimental Probability) Practice Verbal Expression
11. Week Probability (Important Axioms and Theorems About Probability) and Probability Function. Expected Value and Variance of Random Variable Verbal Expression Practice
12. Week Discrete Probability Distributions (Binomial Distribution, Poisson Distribution, Hypergeometric Distribution Practice Verbal Expression
13. Week Continuous Probability Distributions (Normal Distribution) Practice Verbal Expression
14. Week Continuous Probability Distributions (Normal Distribution), Limit Theorems (Law of Large Numbers, Central Limit Theorem). Practice Verbal Expression
Recommended Sources
SPSS AMOS META Applied Biostatistics (2021)., Karagöz Yalçın, Nobel Academic Publishing, Number of Editions: 3, Number of Pages 1296, ISBN: 978-625-439-583-3
SPSS AMOS META Applied Statistical Analysis (2019)., Karagöz Yalçın, Nobel Academic Publishing, Number of editions: 3, Number of Pages 1336, ISBN: 978-605-320-547-0
Biostatistics (2019)., Sümbüloğlu, Kadir, Sümbüloğlu Vildan, Hatiboğlu Publishing House, Number of editions: 20, Number of pages 302, ISBN: 9789757527121
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 Measurement Method
PY1 3 3 -
PY5 3 3 -
PY13 3 3 -
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Midterm 1 1 10 10
Homework 1 1 10 10
Homework 2 1 20 20
Final 1 20 20
Classroom Activities 14 3 42
Total Workload 102
ECTS Credit of the Course 4.0