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
SBE 6068	COMPUTER APPLIED STATISTICS	ELECTIVE	1	2	0	6

Offered By

The Institute Of Health Sciences

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR BELGIN ÜNAL

Offered to

Public Health
Pediatric Nursing
Audiology
Psychiatric Nursing
COMMUNITY HEALTH NURSING
Laboratory Animal Science
Occupational Health
Medical Education
Canser Epidemiology Doctorate
Cardiopulmonary Physiotherapy and Rehabilitation PhD Program
Anatomy
Internal Medicine Nursing
Physical Therapy and Rehabilitation
Molecular Pathology
Perfusion Techniques
Veterinary Pharmacology and Toxicology
Basic Oncology
Exercise Physiology
Toxicology
Physical Education and Sport Doctoral
Biochemistry
Biomechanics
Canser Epidemiology
Doctorate Program Rare Diseases
Histology and Embryology
Medical Biology and Genetics
Basic Oncology
Biophysics
Medical Physics
Fundamentals of Nursing
Physiology
Musculoskeletal Tissue Engineering
Translational Oncology
Oncology Nursing
Medical Parasitology
Microbiology
Pharmacology
Surgical Nursing
Nursing Management
Basic Neuroscience
Molecular Medicine
Translational Oncology
Molecular Medicine
Physical Therapy and Rehabilitation
Obstetrics and Gynaecology Nursing

Course Objective

The aim of this course is to teach biostatistical methods that are used in planning, conducting and analysing of the scientific research by using statistical softwares

Learning Outcomes of the Course Unit

1	Preparing data base, checking the data bas efor mistakes and data cleaning
2	Calculating and interpreting descriptive statistics
3	Testing hypothesis and interpreting the results
4	Interpreting the results of lineer regression and logistic regression analysis
5	Estimating sample size and carrying out power analysis

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Introduction Basic concepts in biostatistics
2	Introduction to SPSS package
3	Preparing data base- data base cleaning
4	Descriptive statistics
5	Hypothesis testing
6	Chi square test application and interpretation
7	T tests
8	Mann Whitney U test Wilcoxon signed rank test
9	Correlation and Linear regression
10	Analysis of Variance (ANOVA)
11	Multivariate analysis and modelling methods
12	Mulipl regression
13	Logistic regression
14	Sample size

Recomended or Required Reading

1. K. Özdamar. SPSS ile Biyoistatistik. Kaan Kitabevi, Eskişehir, 2003.
2. Aksakoğlu G. Sağlıkta araştırma teknikleri ve analiz yöntemleri. DEÜ Rektörlük
Matbaası, Izmir 2001.
3. http://www.spss.com.tr/
4.http://www.pitzer.edu/offices/information_technology/documentation/miscellaneous/spssbasics. pdf
5. http://kerem.koseoglu.info/down/spss_manual_v5_(kk).pdf

Planned Learning Activities and Teaching Methods

Interactive presentation take 33% of the course duration.Rest of the time is spent with practicals using teaching guidelines and data bases. Homeworks will be given after each lecture and feedback will be provided to each student.

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	ASG	ASSIGNMENT
2	FIN	FINAL EXAM
3	FCG	FINAL COURSE GRADE	ASG * 0.50+ FIN* 0.50
4	RST	RESIT
5	FCGR	FINAL COURSE GRADE (RESIT)	ASG * 0.50+ RST* 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

If the average of homework score and final exam score is over 75 then the student will pass the course.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Belgin Ünal, belgin.unal@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	15	1	15
Tutorials	30	1	30
Preparations before/after weekly lectures	15	2	30
Preparation for final exam	1	20	20
Preparing assignments	15	3	45
Preparing presentations	1	8	8
Final	1	2	2
TOTAL WORKLOAD (hours)			150

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.1	PO.2	PO.3	PO.4	PO.5	PO.6	PO.7	PO.8	PO.9	PO.10	PO.11	PO.12
LO.1	1	1	1	1	1	5	5	5	1	1	1	1
LO.2	1	1	1	1	1	5	5	5	1	1	1	1
LO.3	1	1	1	1	1	5	5	5	1	1	1	1
LO.4	1	1	1	1	1	4	4	4	1	1	1	1
LO.5	1	1	1	1	1	4	4	4	1	1	1	1

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