Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
---|---|---|---|---|---|---|---|
Biostatistics | SKY223 | Turkish | Compulsory | 3. Semester | 3 + 0 | 3.0 | 4.0 |
Prerequisite Courses | |
Course Level | Undergraduate |
Mode of delivery | Theorical and Presantation |
Course Coordinator | Prof. Dr. Yalçın KARAGÖZ |
Instructor(s) | Prof. Dr. Yalçın KARAGÖZ (Güz) |
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 |
# | Öğrenme Kazanımı |
3 | 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 |
Week | Topics/Applications | Method |
---|---|---|
1. Week | Basic Concepts, Variables and Their Types, Measurement and Scale Levels | Practice Interview Preparation, After Class Study |
2. Week | Organizing Data, Frequency Distributions | Practice Interview |
3. Week | Types of Scientific Research (Observational Research, Experimental Research) | Practice Interview |
4. Week | Parametric Means (Arithmetic Mean, Geometric Mean, Harmonic Mean, Squared Mean) | Interview Practice |
5. Week | Nonparametric Means (Mode, Median, Quantiles) | Practice Interview |
6. Week | Parametric Measures of Distribution (Mean Deviation, Standard Deviation, Variance, Coefficient of Variation) | Interview Practice |
7. Week | Nonparametric Measures of Distribution (Variation Range, Quartile Range, Decile Range) | Interview Practice |
8. Week | Measures of Deviation from Normality (Normality, Skewness, Kurtosis, Elimination of Skewness) | Interview Practice |
9. Week | Graphic Drawings of Numerical and Categorical Data | Interview Practice |
10. Week | Probability (Counting, Permutation, Combination, Basic Concepts of Probability, Classical Probability, Experimental Probability) | Practice Interview |
11. Week | Probability (Important Axioms and Theorems About Probability) and Probability Function. Expected Value and Variance of Random Variable | Interview Practice |
12. Week | Discrete Probability Distributions (Binomial Distribution, Poisson Distribution, Hypergeometric Distribution | Interview Practice |
13. Week | Continuous Probability Distributions (Normal Distribution) | Interview Practice |
14. Week | Continuous Probability Distributions (Normal Distribution), Limit Theorems (Law of Large Numbers, Central Limit Theorem). | Interview Practice |
No | Program Requirements | Level of Contribution | |||||
---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |||
1 | Health management information related to the field of theoretical and practice and practice to have. | ✔ | |||||
5 | Quantitative and qualitative analysis in health care management do not have the knowledge and ability and application. | ✔ | |||||
13 | In the context of improving service quality and patient satisfaction, patient complaints process to develop | ✔ |
Program Requirements | DK1 |
---|---|
PY1 | 3 |
PY5 | 3 |
PY13 | 3 |
Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
---|---|
Diğer Kaynaklar |
|
ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
---|---|---|---|---|
Sınavlar |
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 | |||
*AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 4.0 |