| 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 | 14.05.2025 |
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Language of Instruction
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English
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Level of Course Unit
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Bachelor's Degree
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Department / Program
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MOLECULAR BIOLOGY AND GENETICS
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Type of Program
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Formal Education
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Type of Course Unit
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Compulsory
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Course Delivery Method
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Face To Face
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Objectives of the Course
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The aim of this course is to introduce students the fundamentals of biostatistics and biostatistics methods with specific applications and examples in life sciences and to make them understand and evaluate the literature in their field
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Course Content
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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
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Course Methods and Techniques
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Theoretical course, assignments and laboratory practice
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
|
Asist Prof.Dr. Berrak Yetimler - berrak.yetimler@agu.edu.tr
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
|
Crawley, M. J. (2013). The R Book. Chichester, West Sussex, United Kingdom: Wiley. Scientific research and review articles
Scientific research and review articles
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Course Notes
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Lecture slides, multimedia
Book: Rosner, B. (2010) Fundamentals of Biostatistics. 7th Edition, Boston: Brooks/Cole.
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Documents
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Canvas
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Assignments
|
Canvas
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Exams
|
Canvas
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Course Category
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Mathematics and Basic Sciences
|
%100
|
|
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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
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In-Term Studies
|
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Quiz/Küçük Sınav
|
4
|
%
20
|
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Ödev
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4
|
%
20
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Final examination
|
3
|
%
60
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Total
|
11
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%
100
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ECTS Allocated Based on Student Workload
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Activities
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Total Work Load
|
|
Araştırma Ödevi
|
4
|
3
|
12
|
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Ders dışı çalışma
|
15
|
3
|
45
|
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Yüz Yüze Ders
|
15
|
5
|
75
|
|
Final Sınavı
|
3
|
15
|
45
|
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Total Work Load
| |
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Number of ECTS Credits 6
177
|
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
|
1
| Be familiar with the terms and application of some standard statistical procedures, such as variance, logistic regression, power analysis, hypothesis testing in the field of biology. |
|
2
| Learn about survival analysis for the first time during their undergraduate studies |
|
3
| Perform some case studies |
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4
| Learn about the current developments in the field |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 1 |
Introduction
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| 2 |
Populations and samples.
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| 3 |
Types of biological data.
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| 4 |
Data transformations.
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| 5 |
Survival data analysis.
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| 6 |
Calculation of Life tables
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| 7 |
Sample size determination in clinical trials
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| 8 |
Measures of association.
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| 9 |
The odds ratio
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| 10 |
Application of generalized linear models and logistic regression to biological data.
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| 11 |
Analysis of data from matched samples.
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| 12 |
Some example sase studies
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| 13 |
Some example case studies
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| 14 |
Latest trends in Biostatistics
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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