Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
1MED 136Bioistatistics28+14+02227.03.2026

 
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program School of Medicine (English)
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course The aim of this course is to teach core statistical methods which include descriptive statistics and exploratory methods, hypothesis tests, missing data, sampling methods, and regression methods for continuous and discrete outcomes. Students will also learn to use R programming language through which they will be able to analyze real medical data.
Course Content Lectures, Presentations, Computer Applications
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator Prof. Dr. Uğur Sezerman
Name of Lecturers Lecturer
Phd. Tuğçe Bozkurt Yozgatlı
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Sheldon Ross (2010) Introductory Statistics, Academic Press, 3rd edition.
Roger Peng (2016) R Programming for Data Science. Lean Puplication
Course Notes Projects, Homeworks and Exams

Course Category
Mathematics and Basic Sciences %30
Health %70

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Midterm I 1 % 40
Final Exam 1 % 40
Assignment 1 % 20
Total
3
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 1 28 28
Hours for off-the-c.r.stud 1 23 23
Laboratory 1 14 14
Total Work Load   Number of ECTS Credits 2 65

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Formulate scientific hypotheses
2 Apply core statistical methods
3 Conduct hypothesis tests
4 Apply regression methods
5 Use R programming language
6 Analyze real medical data in R

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Formulate scientific hypotheses
2 Apply core statistical methods
3 Conduct hypothesis tests
5 Use R programming language

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 P21 P22 P23 P24 P25 P26 P27 P28 P29 P30 P31 P32 P33 P34
All 3 4 4 3 1 2 3 3 5
C1
C2
C3
C4
C5
C6

  Additive Level: 1: Very Low 2: Low 3: Medium 4: High 5: Very High

  
  https://obs.acibadem.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=429291&lang=en