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

Course Introduction and Application Information

Course Code:

SBY6006

Course Name:

Advanced Topics in Neuroscience

Semester:

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. GÖKÇER ESKİKURT

Course Lecturer(s):

Asst. Prof. Gökçer Eskikurt

Course Assistants:

Course Objective and Content

Course Objectives:	Learning advanced measurement and analysis methods used in neuroscience research and understanding the neuroanatomy and processing of language.
Course Content:	In the course, the issues to be considered in the collection of cellular, system and behavioral data from the nervous system, the transfer of these data to the computer environment, their analysis in computer environment and the use of statistical analysis packages are discussed.

Learning Outcomes

The students who have succeeded in this course;
1) Explain what is meant by the term “neuroplasticity” and describe the molecular basis of synaptogenesis
2) Compare and contrast the subcellular mechanisms that underlie neurodegenerative diseases
3) Relate how neuroplasticity underlies learning and memory and examine how neuroplasticity can be exploited in rehabilitation
4) Source and critically appraise primary research reports (publications) in an area of advanced and topical neuroscience
5) Work within a team to evaluate and write a report on the current research outcomes in the area of neuroscience

Course Flow Plan

Week	Subject	Related Preparation
1)	Neural Signaling: Voltage-dependent membrane permeability	-
2)	Neural Signaling: Voltage-dependent membrane permeability Channels and transporters	-
3)	Neural Signaling: Synaptic transmission Neurotransmittes and their receptors	-
4)	Neural Signaling: Neurotransmittes and their receptors	-
5)	Neural Signaling: Molecular signaling within neurons Synaptic plasticity	-
6)	Neural Signaling: Synaptic plasticity	-
7)	Sensation/Sensory Processing: Somatic sensory system	-
8)	Midterm	-
9)	Sensation/Sensory Processing: Pain Sensation/Sensory Processing: Vision	-
10)	Movement/Its Central Control: Lower motor neurons circuits and motor control	-
11)	Movement/Its Central Control: Lower motor neurons circuits and motor control Upper motor neurons' control of the brainstem and spinal cord	-
12)	Movement/Its Central Control: Upper motor neurons control of the brainstem and spinal cord Modulation of movement by the basal ganglia	-
13)	Movement/Its Central Control: Modulation of movement by the basal ganglia Modulation of movement by the cerebellum	-
14)	The visceral motor system	-

Sources

Course Notes / Textbooks:	Ders notları
References:	İlgili makaleler

Course - Program Learning Outcome Relationship

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

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

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

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Presentation	1	% 20
Midterms	1	% 30
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Workload
Course Hours	16	32
Study Hours Out of Class	16	48
Midterms	1	50
Final	1	60
Total Workload		190