1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF TECHNOLOGY
  3. BIOMEDICAL ENGINEERING DEPARTMENT
  4. 185 BIOMEDICAL ENGINEERING
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BMM 374BIOSTATISTICS3 + 06th Semester4

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective This lecture aims to show importance of biostatistics and application of the methods of concern to different data. The data acquired from biology and health sector will be used to build a web of knowledge.
Course Content Chi square, T-test, ANOVA, Kruskal-Wallis Test, Linear regression, Multiple regression.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Determinative statistics, and definitions
2Medians, standart deviations, standard error
3Excel, Minitab, SPSS
4Hipothesis building
5Various statistical modellings

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
LO 001              
LO 002              
LO 003              
LO 004              
LO 005              
Sub Total              
Contribution00000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Mid-terms12020
Final examination12222
Internet Searching/ Library Study12020
Total Work Load

ECTS Credit of the Course





104

4
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2021-2022 Fall1MELTEM BALABAN
Details 2018-2019 Spring1GÜRÇAY KIVANÇ AKYILDIZ
Details 2018-2019 Fall1GÜRÇAY KIVANÇ AKYILDIZ


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
BMM 374 BIOSTATISTICS 3 + 0 1 Turkish 2021-2022 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Lecturer MELTEM BALABAN mbalaban@pau.edu.tr TEK A0008 %60
Goals This lecture aims to show importance of biostatistics and application of the methods of concern to different data. The data acquired from biology and health sector will be used to build a web of knowledge.
Content Chi square, T-test, ANOVA, Kruskal-Wallis Test, Linear regression, Multiple regression.
Topics
WeeksTopics
1 Introduction to Biostatistics,R programming language
2 R programming language
3 R programming language
4 R programming language
5 R programming language
6 R programming language
7 R programming language
8 Biostatistical methods,R applications
9 Biostatistical methods,R applications
10 Biostatistical methods,R applications
11 Biostatistical methods,R applications
12 Biostatistical methods,R applications
13 Biostatistical methods,R applications
14 Biostatistical methods,R applications
Materials
Materials are not specified.
Resources
ResourcesResources Language
R Programlamaya Giriş,Atınç Yılmaz,KODLAB Yayın,2021Türkçe
Biyoistatistik,Kadir Sümbüloğlu,Vildan Sümbüloğlu,Hatiboğlu Yayınevi,2019Türkçe
Using R for Biostatistics,Thomas W. MacFarland, Jan M. Yatesi,Springer Nature,2021English
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam30Midterm Exam
Homework20Homework
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes