Neuroscience (Master) (with Thesis) Preview
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Course Introduction and Application Information

Course Code:

SABE5001

Course Name:

Basic Statistics

Semester:

Spring

Course Credits:

ECTS

Language of instruction:

Turkish

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Departmental Elective

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Dr. Öğr. Üy. BÜLENT EDİZ

Course Lecturer(s):

Dr. Öğretim Üyesi Bülent EDİZ

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:	In health and social fields, data collection, analysis, use of appropriate statistical techniques and models, 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
8)	SPSS
9)	SPSS
10)	SPSS
11)	R Program
12)	R Program
13)	R Program
14)	R Program
15)	Final Exam

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) To be able to define the basic concepts of neuroscience, understand and express neurophysiological functions of brain and neuroanatomical structures, functional organization of central nervous system and basic principles of normal functioning.
2) To have theoretical knowledge about etiopathogenesis of neurological and psychiatric diseases and to have knowledge of neurological and cognitive impairments and central nervous system pathology knowledge in these diseases.
3) To be able to have basic theoretical knowledge about transcranial neuromodulation methods and to use these methods in the field of study, such as radiological and electrophysiological research and investigation methods used in neurological and psychiatric diseases such as electronomyfromography, electroencephalography, evoked potentials and neuroimaging methods.
4) Ability to use communication and computer technologies efficiently in their work.
5) Transcribe and present the findings and research results verbally or in writing.
6) Ability to work within the team in the field of neuroscience research
7) Undertake the responsibility of the task alone and carry out independent work.
8) Having a sense of ethical responsibility in research.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	To be able to define the basic concepts of neuroscience, understand and express neurophysiological functions of brain and neuroanatomical structures, functional organization of central nervous system and basic principles of normal functioning.
2)	To have theoretical knowledge about etiopathogenesis of neurological and psychiatric diseases and to have knowledge of neurological and cognitive impairments and central nervous system pathology knowledge in these diseases.
3)	To be able to have basic theoretical knowledge about transcranial neuromodulation methods and to use these methods in the field of study, such as radiological and electrophysiological research and investigation methods used in neurological and psychiatric diseases such as electronomyfromography, electroencephalography, evoked potentials and neuroimaging methods.
4)	Ability to use communication and computer technologies efficiently in their work.
5)	Transcribe and present the findings and research results verbally or in writing.
6)	Ability to work within the team in the field of neuroscience research
7)	Undertake the responsibility of the task alone and carry out independent work.
8)	Having a sense of ethical responsibility in research.

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	56
Special Course Internship (Work Placement)	14	56
Total Workload		112