Course unit title Level of course unit Course unit code Type of course unit Semester of course unit Local credit ECTS credit Syllabus
BIOSTATISTIC Third cycle BİS 401 6 3.00 3.00 Print
   
Description of course unit
Prerequisites and course requisities None
Language of instruction Turkish
Coordinator Assoc.Prof. Dr. Ahmet ÖZTÜRK
Lecturer(s) Assoc.Prof.Dr.Ahmet ÖZTÜRK
Teaching assitant(s) Research assistants
Mode of delivery Face to face
Course objective Students learn the stages of a scientific study, biostatistics applications are aimed to gain knowledge and skills.
Course description Third-class courses at the undergraduate level

Course contents
1 Introduction to Biostatistics Science Basic Knowledge Technologies and Medical Informatics
2 Scientific Research and Planning in Medical Sciences
3 Descriptive Statistics
4 Study Designs
5 Sampling Methods
6 Power Analysis
7 Probability and Probability Distribution
8 Mid term exam
9 Parameter Estimations
10 Introduction to Hypothesis Tests
11 Parametric Tests/Non-parametric Tests
12 Categoric Data Analysis
13 Correlation Analysis/Linear Regression Analysis
14 The Evaluation of Diagnosis Tests, The Demonstration of Data by Tables and Graphics Writing Thesis and Articles
15 Final exam
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Learning outcomes of the course unit
1 1.Will be able to understand the necessity of Biostatistics 2.Will be able to specify the types of variables 3.Will be able to count the field of medical informatics applications 4.Will be able to count the steps of scientific research 5.Will be able to choose a subject for scientific study 6.Will be able to explain the concept of literature 7.Will be able to describe the study population 8.Will be able ??to interpret percentage, mean, standard deviation, median, quartile values 9.Will be able to determine study design 10.Will be able to determine sampling method 11.Will be able to count the concepts for determining the number of samples 12.Will be able to comprehend the importance of biostatistics in the science of probability distributions 13.Will be able to interpret the parameter estimates 14.Will be able to hypothesize 15.Will be able to interpret the p-value which indicates the first type of error 16.Will be able to explain normality 17.Will be able to decide about the normality of the data 18.Will be able to make a literature review 19.Will be able to distinguish questionnaire and scale concepts 20.Will be able to count rules of questionnaire design 21.Will be able to explain the gold standard concept 22.Will be able to explain the diagnostic test 23.Will be able to evaluate the area under the ROC curve 24.Will be able to interpret sensitivity, specificity, positive and negative predictive values 25.Will be able to select the appropriate chart based on the type of variables 26.Will be able to determine the appropriate chart according to the distribution of numeric variables 27.Will be able to count the title of the research report 28.Will be able to count the rules of report preparation 29.Will be able to make biostatistical critic of a scientific article 30.Will be able to explain the rate,speed, prevalence, incidence, mortality, fatality concepts 31.Will be able to explain parametric and nonparametric concepts 32.Will be able to apply one sample t test 33.Will be able to compare two independent samples in normal and homogeneous distributed variables 34.Will be able to interpret the difference between groups 35.Will be able to compare repeated measures in numeric variables 36.Will be able to apply one way analysis of variance test 37.Will be able to apply sign test 38.Will be able to apply Mann-Whitney U test 39.Will be able to Kruskal-Wallis test 40.Will be able to interpret the relationship between two categorical variables 41.Will be able to interpret inter-rater agreement 42.Will be able to apply McNemar test 43.Will be able to interpret the correlation between two numerical variables 44.Will be able to determine the dependent and independent variables 45.Will be able to interpret the correlation betwwen dependent variable and independent variables
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*Contribution level of the course unit to the key learning outcomes
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Number of stars refer to level of contribution from 1 (the least) to 5 (the most)

Planned learning activities, teaching methods and ECTS work load
  Quantity Time (hour) Quantity*Time (hour)
Lectures (face to face teaching) 14 3 42
Study hours out of classroom (study before and after the class) 14 1 14
Homework 0 0 0
Presentation / seminar 0 0 0
Quiz 0 0 0
Preparation for midterm exams 0 0 0
Midterm exams 1 5 5
Project (term paper) 0 0 0
Laboratuar 0 0 0
Field study 0 0 0
Preparation for final exam 1 10 10
Final exam 1 1 1
Research 0 0 0
Total work load     72
ECTS     3.00

Assessment methods and criteria
Evaluation during semester Quantity Percentage
Midterm exam 1 40
Quiz 0 0
Homework 0 0
Semester total   40
Contribution ratio of evaluation during semester to success   40
Contribution ratio of final exam to success   60
General total   100

Recommended and required reading
Textbook
Additional references 1-Sümbüloglu K ve Sümbüloğlu V. Biyoistatistik. Somgür Yayıncılık, Ankara, 2003. 2-2-Özdamar K. SPSS ile Biyoistatistik. Kaan Kitabevi, Eskişehir, 1999. 3-Alpar R. Spor Bilimlerinde Uygulamalı statistik.Nobel Yayın-Dağıtım, Ankara, 2001.

Files related to the course unit