Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
IST 1004	BIOSTATISTIC	COMPULSORY	3	0	0	4

Offered By

Biology

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR FERHAT MATUR

Offered to

Biology

Course Objective

By taking this course, students will understand the basic probability and statistical concepts and learn statistical analysis techniques that they can apply in their own area

Learning Outcomes of the Course Unit

1	Knowledge of basic statistical concepts, to distinguish the differences between types of variables
2	Knowledge of basic probability, knowledge of the definition of random variable
3	Knowledge of creating the frequency distribution table, knowledge of calculating measures of central tendency and measures of variability
4	To distinguish between the cases of homogeneity and relationship, knowledge of basic concepts related with hypothesis testing
5	Knowledge of reading statistical tables, to be able to understand simple linear regression

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Basic Statistical Concepts: Population, Sample, Parameter, Statistic, Data, Variable
2	Frequency Distribution Table, Graphs: Histogram, Line Graph, Bar Graph, Pie Charts
3	Stem and Leaf Display
4	Measures of Central Tendency: Arithmetic Mean, Median and Mode
5	Measures of Variability: Range, Variance, Standard Deviation
6	Probability: Basic Definitions of Probability Concept, Introduction to Probability theory
7	Random Variable, Random Variable and its Functions: Discrete Random Variable and its Functions
8	Midterm exam
9	Continuous Random Variable and its Functions
10	Normal Distribution, Standard Normal Distribution
11	Test of Hypothesis - One Sample Z test Based on Population Mean
12	One Sample t test Based on Population Mean
13	Simple Linear Regression Analysis
14	Chi Square Distribution, Chi Square Tests, Contingency Tables

Recomended or Required Reading

Textbook(s)/References/Materials:
Akgül, A. ve Çevik, O. Istatistiksel Analiz Teknikleri. Emek Ofset Ltd. Şti. Ankara. 2003.
Yardımcı Ders Kitapları
Şanslı, Ş. Tanımlayıcı Istatistik, Nobel Yayın Dağıtım, ISBN 978-605-395-146-9.

Planned Learning Activities and Teaching Methods

Presentation, lecture format, question-answer

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	VZ	Vize
2	FN	Final
3	BNS	BNS	VZ * 0.40 + FN * 0.60
4	BUT	Bütünleme Notu
5	BBN	Bütünleme Sonu Başarı Notu	VZ * 0.40 + BUT * 0.60

*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

The student s performance will be evaluated by the questions that will be asked in midterm and final exams.

Language of Instruction

Turkish

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

ferhat.matur@deu.edu.tr

Office Hours

will be announced

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	14	3	42
Preparations before/after weekly lectures	14	3	42
Preparation for final exam	1	24	24
Final	1	4	4
TOTAL WORKLOAD (hours)			112

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.3	PO.14
LO.1	3	2
LO.2	3	2
LO.3	3	2
LO.4	3	2
LO.5	3	2

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION