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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BIS 507BIOSTATISTICS3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Compulsory
Course Objective Comprehension of fundamental concepts of and areas of practice for biostatistics, characteristics of each method, conditions under which they will be applied, evaluations, advantages and disadvantages of the system
Course Content Application of biostatistics in medicine
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1The student who takes this course knows the theoretical and practical application basics of biostatistics and its methods

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09
LO 00153352523 
Sub Total53352523 
Contribution533525230

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)10660
Assignments41040
Mid-terms11818
Midterm11010
Exam (Student)11010
Presentation11515
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2019-2020 Fall1BÜLENT AĞBUĞA


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
BIS 507 BIOSTATISTICS 3 + 0 1 Turkish 2019-2020 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. BÜLENT AĞBUĞA bakboga@pau.edu.tr SBF A0113 %70
Goals Comprehension of fundamental concepts of and areas of practice for biostatistics, characteristics of each method, conditions under which they will be applied, evaluations, advantages and disadvantages of the system
Content Application of biostatistics in medicine
Topics
WeeksTopics
1 Creating and working with data files
2 Recording data and computing values
3 Working with SPSS charts and output
4 Creating variables and computing descriptive statistics
5 t test procedures
6 univariate ve multivariate ANOVA
7 Correlation and regression analysis
8 Factor analysis
9 Mid-term
10 Nonparametric procedures
11 Nonparametric procedures
12 questionnaire analysis
13 questionnaire analysis
14 questionnaire analysis
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes