Course Name Code Semester T+U Hours Credit ECTS
Computer Applied Biostatistics I HMS 603 0 3 + 0 3 6
 Precondition Courses Recommended Optional Courses Course Language Turkish Course Level Doctorate Degree Course Type Compulsory Course Coordinator Doç.Dr. ÜNAL ERKORKMAZ Course Lecturers Doç.Dr. ÜNAL ERKORKMAZ, Course Assistants Course Category General Training Course Objective Aims of this course are to teach biostatistical analysis in the health sciences both theoretically and practically. Course Content In this course, biostatistical analysis and advantages, definitions and necessity of biostatistics are described.
# Course Learning Outcomes Teaching Methods Assessment Methods
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,
Week Course Topics Preliminary Preparation
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
Resources
Course Notes Özdamar K, SPSS ile Biyoistatistik, Nisan Kitabevi, 2013.
Course Resources 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
Week Documents Description size
0 Ders 1 Biyoistatistiğe Giriş 0.35 MB
0 Ders 2 Verilerin Sınıflandırılması 0.17 MB
Order Program Outcomes Level of Contribution
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
Evaluation System
Semester Studies Contribution Rate
1. Ödev 30
1. Ara Sınav 70
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
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
Total Workload 156
Total Workload / 25 (Hours) 6.24
dersAKTSKredisi 6