| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Computer Applıed Bıostatıstıcs I | HMS 603 | 0 | 3 + 0 | 3 | 6 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | Doktora |
| Dersin Türü | Zorunlu |
| Dersin Koordinatörü | Prof.Dr. ÜNAL ERKORKMAZ |
| Dersi Verenler | Prof.Dr. ÜNAL ERKORKMAZ, |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Genel Eğitim |
| Dersin Amacı | Aims of this course are to teach biostatistical analysis in the health sciences both theoretically and practically. |
| Dersin İçeriği | In this course, biostatistical analysis and advantages, definitions and necessity of biostatistics are described. |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Knows the basic concepts used in biostatistics | Lecture, Question-Answer, | Testing, Homework, |
| 2 | Knows the methods of data collection, and the classify to raw data | Lecture, Question-Answer, Motivations to Show, | Testing, Homework, |
| 3 | Calculates the descriptive statistics | Lecture, Question-Answer, Drilland Practice, Motivations to Show, | Testing, Homework, |
| 4 | Knows the tabulation, and table editing rules | Lecture, Question-Answer, Drilland Practice, Motivations to Show, | Testing, Homework, |
| 5 | Knows the charts and graphics drawing rules | Lecture, Question-Answer, Drilland Practice, Motivations to Show, | Testing, Homework, |
| 6 | Knows the theory of probability | Lecture, Question-Answer, Drilland Practice, Motivations to Show, | Testing, Homework, |
| 7 | Knows the methods of sampling | Lecture, Question-Answer, | Testing, Homework, |
| 8 | Calculates the sample size | Lecture, Question-Answer, Drilland Practice, Motivations to Show, | Testing, Homework, |
| 9 | Classify the hypothesis tests | Lecture, Question-Answer, | Testing, Homework, |
| 10 | Applies the chi-square independence and of homogeneity tests effectively | Lecture, Question-Answer, Drilland Practice, Motivations to Show, | Testing, Homework, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Introduction to Biostatistics and Basic Concepts | |
| 2 | Data Collection Methods, Data Classification | |
| 3 | Descriptive Statistics (Location Criteria) | |
| 4 | Descriptive statistics (distribution criteria) | |
| 5 | Tabulation, table preparation rules | |
| 6 | Charts and charts drawing rules | |
| 7 | Probability | |
| 8 | Sampling methods | |
| 9 | Sample size calculation, power analysis | |
| 10 | Theoretical distributions | |
| 11 | Introduction to hypothesis tests | |
| 12 | Normality tests | |
| 13 | Chi-square tests of ındependence and of homogeneity | |
| 14 | Applications |
| Kaynaklar | |
|---|---|
| Ders Notu | Özdamar K, SPSS ile Biyoistatistik, Nisan Kitabevi, 2013. |
| Ders Kaynakları | 1. Alpar R, Ugulamalı İstatistik, Detay Yayıncılık, Ankara 2012. 2. Özdamar K, Paket Programlar ile İstatistiksel Veri Analizi Cilt 1, Nisan Kitabevi, 2013. 3. Çelik Y, NASIL? Biyoistatistik, Bilimsel Araştırma, SPSS, I. Baskı Eylül 2011. 4. SPSS Inc. Advanced Models, 11.0, SPSS Inc. Chicago, 2001 5. Belle GY, Fısher LD, Heagerty PJ, Lumley P. Biostatistics A Methodology for the Health Sciences, A John Wıley & Sons Inc., 2004 |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Based on knowledge acquired during a Master’s degree program, the student increases his/her advanced and up-to-date knowledge to a higher level via original ideas and/or research while being aware of life-long learning. | X | |||||
| 2 | Understands interdisciplinary interactions in his/her field, analyzes and evaluates new and complex ideas. | ||||||
| 2 | Understands interdisciplinary interactions in his/her field, analyzes and evaluates new and complex ideas. | X | |||||
| 3 | Expands knowledge in his/her field via publishing a scientific article in national and/or international peer-reviewed journals. | X | |||||
| 3 | Expands knowledge in his/her field via publishing a scientific article in national and/or international peer-reviewed journals. | ||||||
| 4 | Uses skills of creative and critical thinking, problem solving, and research and evidence based decision making when solving complex problems in the field of nursing. | ||||||
| 4 | Uses skills of creative and critical thinking, problem solving, and research and evidence based decision making when solving complex problems in the field of nursing. | X | |||||
| 5 | Can communicate and discuss in at least one foreign language at an advanced level in oral, written, and visual forms. | ||||||
| 5 | Can communicate and discuss in at least one foreign language at an advanced level in oral, written, and visual forms. | ||||||
| 6 | Provides solutions to social, scientific, and ethical matters encountered in the field and in the profession and supports the development of such values. | ||||||
| 6 | Provides solutions to social, scientific, and ethical matters encountered in the field and in the profession and supports the development of such values. | ||||||
| 7 | As an expert in the field, uses effective communication skills for defending his/her original opinions. | ||||||
| 7 | As an expert in the field, uses effective communication skills for defending his/her original opinions. | ||||||
| 8 | Leads in environments that require solving original and interdisciplinary problems. | X | |||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 70 |
| 1. Kısa Sınav | 30 |
| Toplam | 100 |
| 1. Yıl İçinin Başarıya | 50 |
| 1. Final | 50 |
| Toplam | 100 |
| AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 3 | 48 |
| Mid-terms | 1 | 20 | 20 |
| Performance Task (Application) | 1 | 20 | 20 |
| Final examination | 1 | 20 | 20 |
| Toplam İş Yükü | 156 | ||
| Toplam İş Yükü / 25 (Saat) | 6,24 | ||
| Dersin AKTS Kredisi | 6 | ||