COURSE UNIT TITLE

: BIOSTATISTIC

DEGREE PROGRAMMES

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


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/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.132
LO.232
LO.332
LO.432
LO.532

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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