Histology and Embryology (DR) Preview
PhD	TR-NQF-HE: Level 8	QF-EHEA: Third Cycle	EQF-LLL: Level 8

Course Introduction and Application Information

Course Code:

LEE6001

Course Name:

Advanced Biostatistics

Semester:

Fall
Spring

Course Credits:

ECTS

Language of instruction:

Turkish

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Departmental Elective

Course Level:

PhD

TR-NQF-HE:8. Master`s Degree

QF-EHEA:Third Cycle

EQF-LLL:8. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Dr. Öğr. Üy. BÜLENT EDİZ

Course Lecturer(s):

Dr. Öğr. Üyesi Bülent Ediz

Course Assistants:

Course Objective and Content

Course Objectives:	To gain the ability to collect, analyze and interpret data in order to transform data into information in health and social fields and to give basic information about Research Methodology and Statistics as a basis for research in the field of health.
Course Content:	Data collection, analysis, use of appropriate statistical techniques and models in health and social fields, interpretation of results

Learning Outcomes

The students who have succeeded in this course;
1) Research planning
2) Collecting and summarizing research data
3) Analyze data
4) Interpreting the results of the analyzed data
5) Data entry to SPSS program, analysis and interpretation of results
6) statistical literacy

Course Flow Plan

Week	Subject	Related Preparation
1)	Definition of Statistics - Statistics in Health Sciences - Data Collection, Ways of collecting information, summarizing information, Organizing data, drawing graphs
2)	Descriptive Statistical Analysis: Means, Variability and Measures
3)	Concept of Probability and Fundamental Probability Distributions, Binomial Distribution and Poisson Distribution
4)	Sampling and Sampling Methods, Hypothesis testing, Normal distribution and z test
5)	Student's t distribution and test, One-way and two-way analysis of variance (ANOVA)
6)	Chi-square distribution and test, Non-parametric tests, Regression and Correlation analysis
7)	SPSS Application
8)	SPSS Application
9)	SPSS Application
10)	SPSS Application
11)	R Application
12)	R Application
13)	R Application
14)	R Application
15)	Final week
16)	Final week

Sources

Course Notes / Textbooks:	Kan,İ.: Biyoistatistik, Uludağ Üniv. Basımevi, Bursa, 2009. Özdamar, K.: SPSS ile Biyoistatistik, Nisan yayınevi, 2018. Sümbüloğlu, V., Sümbüloğlu,K.: Sağlık Bilimlerinde Araştırma Yöntemleri, Hatiboğlu yayınevi, Ankara, 2013
References:	Kan,İ.: Biyoistatistik, Uludağ Üniv. Basımevi, Bursa, 2009. Özdamar, K.: SPSS ile Biyoistatistik, Nisan yayınevi, 2018. Sümbüloğlu, V., Sümbüloğlu,K.: Sağlık Bilimlerinde Araştırma Yöntemleri, Hatiboğlu yayınevi, Ankara, 2013

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5	6
Program Outcomes
1) Be able to comprehend the interdisciplinary interaction with which the field is related; Ability to reach original results by using knowledge that requires expertise in analyzing, synthesizing and evaluating new and complex ideas.
2) Be able to evaluate and use new information in the field with a systematic approach.
3) Be able to examine social relations and the norms that guide these relations from a critical perspective, develop them and manage actions to change them when necessary.
4) Be able to develop new ideas and methods related to the field by using high-level mental processes such as creative and critical thinking, problem solving and decision making.
5) Be able to contribute to the process of the society in which one lives in becoming and sustaining an information society by introducing scientific, technological, social or cultural advances in the field.
6) Be able to contribute to progress in the field by independently carrying out an original study that brings innovation to the field, develops a new idea, method, design and/or application, or applies a known idea, method, design and/or application to a different field.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Be able to comprehend the interdisciplinary interaction with which the field is related; Ability to reach original results by using knowledge that requires expertise in analyzing, synthesizing and evaluating new and complex ideas.	3
2)	Be able to evaluate and use new information in the field with a systematic approach.	3
3)	Be able to examine social relations and the norms that guide these relations from a critical perspective, develop them and manage actions to change them when necessary.	3
4)	Be able to develop new ideas and methods related to the field by using high-level mental processes such as creative and critical thinking, problem solving and decision making.	3
5)	Be able to contribute to the process of the society in which one lives in becoming and sustaining an information society by introducing scientific, technological, social or cultural advances in the field.	3
6)	Be able to contribute to progress in the field by independently carrying out an original study that brings innovation to the field, develops a new idea, method, design and/or application, or applies a known idea, method, design and/or application to a different field.	3

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	1	% 30
Final	1	% 70
total		% 100
PERCENTAGE OF SEMESTER WORK		% 30
PERCENTAGE OF FINAL WORK		% 70
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Workload
Course Hours	14	42
Study Hours Out of Class	15	105
Homework Assignments	13	39
Final	1	2
Total Workload		188