Course Details

BIOSTATISTICS

Course Information

Semester	Course Unit Code	Course Unit Title	T+P+L	Credit	Number of ECTS Credits	Last Updated Date
4	MBG204	BIOSTATISTICS	3+2+0	4	6	18.06.2026

Course Details

Language of Instruction	English
Level of Course Unit	Bachelor's Degree
Department / Program	MOLECULAR BIOLOGY AND GENETICS
Type of Program	Formal Education
Type of Course Unit	Compulsory
Course Delivery Method	Face To Face
Objectives of the Course	-Introducing the fundamentals of Biostatistics. -Understanding the problem and selecting appropriate statistical methods -Analyzing data with examples in life sciences and discussing the results in the view of Biostatistics -Planning a scientific study using appropriate study designs, statistical methods and hypotheses
Course Content	Introduction to biostatistics and basic concepts; descriptive statistics; probability and probability distributions; sampling methods and parameter estimation; introduction to hypothesis testing and testing statistical assumptions; one-sample, two-sample and multi-sample inference with hypothesis testing; nonparametric tests; categorical data analysis; correlation and regression analysis
Course Methods and Techniques	Theoretical course, problem solving and laboratory practice
Prerequisites and co-requisities	None
Course Coordinator	None
Name of Lecturers	Asist Prof.Dr. Gonca Buyrukoglu - gonca.buyrukoglu@agu.edu.tr
Assistants	None
Work Placement(s)	No

Recommended or Required Reading

Resources	W.W. Daniel. Biostatistics: A foundation for analysis in the health sciences; Wiley 2009
Course Notes	Lecture slides, multimedia Book:Daniel, W. W., & Cross, C. L. (2018). Biostatistics: a foundation for analysis in the health sciences. John Wiley & Sons. Rosner, B. (2010) Fundamentals of Biostatistics. 7th Edition, Boston: Brooks/Cole.
Documents	Canvas
Assignments	Canvas
Exams	Canvas

Course Category

Mathematics and Basic Sciences

%100

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

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration	Total Work Load
Soru Çözümü	5	3	15
Kişisel Çalışma	15	2	30
Ders dışı çalışma	15	3	45
Yüz Yüze Ders	15	5	75
Final Sınavı	1	15	15
Total Work Load			Number of ECTS Credits 6 180

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:

No	Learning Outcomes
1	Describe the basic concepts of Biostatistics
2	Calculate the descriptive statistics and choose the appropriate ones depending on the type of data
3	Acknowledge the basis of probability, discrete and continuous probability distributions
4	Distinguish the types of sampling methods, point and interval estimations about the unknown population parameter
5	Perform hypothesis tests based on data assumptions, exploring relationship between variables, selecting appropriate correlation coefficient for given variables
6	Interpret and report the analysis results using proper statistical methods

Weekly Detailed Course Contents

Week	Topics	Study Materials	Materials
1	Introduction to biostatistics
2	Descriptive statistics
3	Basic probability concepts
4	Probability distributions - I
5	Probability distributions - II
6	Some important sampling distributions
7	Estimation
8	Hypothesis testing - I
9	Hypothesis testing - II
10	Analysis of Variance - I
11	Analysis of Variance - II
12	Simple linear regression and correlation
13	Multiple regression
14	Revision and quiz

Contribution of Learning Outcomes to Programme Outcomes

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=76126&lang=en