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:

SBY5006

Course Name:

Basic Mathematics for Neuroscience

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:

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. GÖKÇER ESKİKURT

Course Lecturer(s):

Asst. Prof. Gökçer Eskikurt

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of this course is to develop students' ability to think abstractly, to give a mathematical background to analyze mathematical problems related to neuroscience.
Course Content:	The importance of mathematics in human history, Historical development of mathematics, Numbers, Set theory, Function concept and operations, Data and data collection and analysis, Measures of central tendency and dispersion

Learning Outcomes

The students who have succeeded in this course;
1) Defines and uses some mathematical terms and concepts.
2) Gains the ability to apply mathematical concepts and techniques to neuroscience problems.
3) Have the basic knowledge required for the biostatistics course.
4) A sense of responsibility develops through homework assignments.
5) Draws graphs of the data obtained from experiments and formulates them.

Course Flow Plan

Week	Subject	Related Preparation
1)	Sets, real numbers	-
2)	Equations and Inequalities, Exponential and Rooted Expressions	-
3)	Permutations, Combinations and Binomial coefficients	-
4)	Matrices, Linear Equation systems	-
5)	Determinants	-
6)	Relations and Functions	-
7)	Functions obtained from experiments and their uses, Statistical Functions	-
8)	Limit and Continuity	-
9)	Limit and Continuity	-
10)	Exponential and Logarithmic functions	-
11)	Exponential and Logarithmic functions	-
12)	Concept of Derivative, Differentiation Rules, Derivatives of Basic Functions	-
13)	Differential of Composite Functions. Applications of Derivatives, Extrema of Functions	-
14)	Differential of Composite Functions. Applications of Derivatives, Extrema of Functions	-

Sources

Course Notes / Textbooks:	Ders notları
References:	İlgili güncel yayınlar

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	3	4	5
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.	3	3
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.				2
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.				2
4) Ability to use communication and computer technologies efficiently in their work.		2
5) Transcribe and present the findings and research results verbally or in writing.				3
6) Ability to work within the team in the field of neuroscience research			3
7) Undertake the responsibility of the task alone and carry out independent work.			3	3
8) Having a sense of ethical responsibility in research.			3	3

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.	3
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.	2
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.	2
4)	Ability to use communication and computer technologies efficiently in their work.	1
5)	Transcribe and present the findings and research results verbally or in writing.	2
6)	Ability to work within the team in the field of neuroscience research	2
7)	Undertake the responsibility of the task alone and carry out independent work.	2
8)	Having a sense of ethical responsibility in research.	2

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Workload
Course Hours	14	28
Special Course Internship (Work Placement)	14	84
Study Hours Out of Class	14	84
Midterms	1	2
Final	1	2
Total Workload		200