Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
MBG1042018139BIOSTATISTICSCompulsory124
Level of Course Unit
First Cycle
Objectives of the Course
The course aims to teach the biology students the descriptive statistics, the essential elements of research methodology and statistics.
Name of Lecturer(s)
Prof. Dr. Hasan SEVGİLİ
Learning Outcomes
1Students know basis statistical concepts.
2Knows distribution types, data types, graph and hypothesis.
3Can do basic statistic practice using Excel
Mode of Delivery
Formal Education
Prerequisites and co-requisities
No
Recommended Optional Programme Components
No
Course Contents
Descriptive statistics are distinguished from inferential statistics, in that descriptive statistics aim to summarize a data set, rather than use the data to learn about the population that the data are thought to represent. This generally means that descriptive statistics, unlike inferential statistics, are not developed on the basis of probability theory. Even when a data analysis draws its main conclusions using inferential statistics, descriptive statistics are generally also presented.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1What is statistic? Why do life scientists need to know about experimental design and statistics?
2Basic scientific method, null and alternate hypothesis
3Variables, experimentals units, types of data, variation
4Sampling and populations
5The normal distribution and other distributions
6Working from samples, data, populations and statictics
7Statistical tests and significance levels
8Normal distributions-tests for comparing the means of one and two samples
9Midterm Exam
10Type I and Type 2 errors and sample size
11Comparing Means
12Correlation
13Regression
14Basic parametric and nonparametric tests
15Using Excel
16Final Exam
Recommended or Required Reading
Sokal, R.R., Rohlf, F.J., 1973, Introduction to Biostatistics, W. H. Freeman and Company, USA. McKillup, S. 2005. Statistics Explained: An Introductory guide for life sciences. Cambridge University Press. Alpar, R. 2010. Spor, Sağlık ve Eğitim Bilimlerinden örneklerle Uygulamalı İstatistik ve Geçerlik-Güvenirlik. Detay yayıncılık.
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
Yarıyıl (Yıl) İçi Etkinlikleri40
Yarıyıl (Yıl) Sonu Etkinlikleri60
SUM100
Language of Instruction
Turkish
Work Placement(s)
No
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Report Preparation14040
Report Presentation122
Individual Study for Mid term Examination12020
Individual Study for Final Examination12020
13030
TOTAL WORKLOAD (hours)116
Contribution of Learning Outcomes to Programme Outcomes
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21
LO11 1 1 1       4 4   3
LO2              4 4    
LO3              4 4    
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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