| Course Type | Compulsory Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | 3 |
|---|
| Semester | Sixth Term (Spring) |
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| ECTS | 5 |
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| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Explains the basic concepts of biostatistics and its use in the field of Molecular and Biology.
- Explains variable types and variable summarization using tables and graphs.
- Uses their knowledge of measures of central tendency and measures of dispersion and statistically summarizes data related to their field using the knowledge they have acquired.
- Some basic parametric methods and correlation and regression analysis can be applied in the field of health.
- Nonparametric basic statistical tests can be applied in the field of health.
- Recognize the basic statistical methods used in studies conducted in the relevant literature, understand the results obtained from these methods, and discuss them.
- Apply all the statistical techniques you have learned using the SPSS program.
|
| Mode of Delivery | Face to face |
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| Prerequisites | No |
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| Recommended Optional Programme Components | None |
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| Course Description | The applied use of biostatistics in the field of Molecular and Biology. |
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| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction, Course Introduction |
|
2nd Week |
Basic Concepts Used in Biostatistics, Use of Biostatistics in the Health Field |
|
3rd Week |
Frequency Distribution Tables, Graphs, Descriptive Statistics |
|
4th Week |
Normal Distribution and Its Properties |
|
5th Week |
Hypothesis Testing |
|
6th Week |
Independent two-group comparison, Dependent two-group comparison (Parametric and Nonparametric methods) |
|
7th Week |
Independent comparisons of more than two groups and Multiple Comparison Methods (Parametric and nonparametric methods) |
|
8th Week |
Chi-Square Test |
|
9th Week |
Comparisons of more than two dependent groups and Multiple Comparison Methods (Parametric and nonparametric methods) |
|
10th Week |
Correlation and Simple and Multiple Regression Analysis |
|
11th Week |
Reinforcement Application (Reading SPSS output from all tests) |
|
12th Week |
Reinforcement Application (Reading SPSS output from all tests) |
|
13th Week |
SPSS Application Exam |
|
14th Week |
Article review |
|
| Recommended or Required Reading | 1) Alpar R., Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle, Uygulamalı İstatistik ve Geçerlik- güvenirlik, 2010, Detay Yayıncılık.
2) Biyoistatistik. Sümbüloğlu, K., Sümbüloğlu, V., Özdemir Yayıncılık, Ankara, 1995.
3) Statistics for Experimenters, An Introduction to Design, Data Analysis, and Model Building, Box, E.P.G., Hunter, G.W., Hunter, J. S.,John Wiley & Sons,Inc., 1978. |
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| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Practice
- Problem Solving
- Discussion
- Report Preparation
- Presentation
|
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| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Practice |
1 |
30 |
| Total(%) |
|
60 |
| Contribution of In-term Studies to Overall Grade(%) |
|
60 |
| Contribution of Final Examination to Overall Grade(%) |
|
40 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
1 |
10 |
10 |
| Preparation for Final exam |
1 |
40 |
40 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
25 |
25 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
|
|
|
| Performance Practice |
13 |
2 |
26 |
| Article Presentation |
1 |
4 |
4 |
| Total Work Load | 151 |
| Total Work Load / 30 (h) | 5.03 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | English |
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| Work Placement(s) | No |
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