Course Name Code Semester T+U Hours Credit ECTS
Bioistatistics KBT 501 0 2 + 2 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Doç.Dr. ÜNAL ERKORKMAZ
Course Lecturers
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, Motivations to Show, Testing, Homework,
2 Knows the methods of data collection, and the classify to raw data Lecture, Question-Answer, Drilland Practice, 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 chart editing rules Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
5 Knows the theory of probability Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
6 Knows the theorethical distributions Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
7 Knows the methods of sampling Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
8 Classify the hypothesis tests Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
9 Applies the two sample hypothesis tests Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
10 Applies the k sample hypothesis tests Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
11 Applies the chi-square independence and of homogeneity tests effectively Lecture, Question-Answer, Drilland Practice, Motivations to Show, Testing, Homework,
12 Applies the correlation and regression analysis Drilland Practice, Motivations to Show, Lecture, Question-Answer, 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, graphics preparation rules
6 Probability
7 Theorethical distributions
8 Sampling methods
9 Introduction to hypothesis tests
10 Two sample hypothesis tests
11 k sample hypothesis tests
12 Chi-square tests of ındependence and of homogeneity
13 Correlation and regression analysis
14 Applcations
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
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 X
2 X
3 X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 60
1. Kısa Sınav 40
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 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 10 10
Quiz 1 5 5
Final examination 1 15 15
Total Workload 158
Total Workload / 25 (Hours) 6.32
dersAKTSKredisi 6