Skip to main content

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUC. to COGNITIVE ELECTRO. and BRAIN OSCILLA. -Spring Semester2+026
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelSecond Cycle (Master's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Bahar GÜNTEKİN
Name of Lecturer(s)Prof.Dr. Lütfü HANOĞLU, Prof.Dr. Gürkan ÖZTÜRK, Prof.Dr. Bahar GÜNTEKİN
Assistant(s)
AimThe aim of the course is teach the EEG-Brain Dynamics Methodologies, principles of EEG recording and analysis.
Course ContentThis course contains; 1. Introduction to Neuron and Neuronal Networks,2.Attention, Perception, Learning, Remembering Processes,3.Cognitive Paradigms in Brain Reserach,4.Emotional Paradigms in Brain Research,5.Preparations for EEG recording,6.Application of EEG recording,7.Application of EEG recording,8. ArtefaCT rejection,9. Analysis of Evoked/Event related Potentials,10. Analysis of event related Power Spectrum,11.Analysis of Digital Filtering,12.Analysis of EEG coherence,13.Analysis of phase locking factor.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Preparations for EEG recording Performing EEG recording Performing artefact rejection in EEG Analysis of Event Related Potentials Analysis of event related Power Spectrum Analysis of Digital Filtering Analysis of phase locking factor Analysis of EEG coherence10, 13, 14, 16, 19, 9A
Student will be able to perform EEG artefact rejections, they will be able to analyze Event Related Potentials. 10, 13, 14, 16, 19, 9A
Students will learn to analyze Event related Power spectrum, Event Related digiltal filtering, phase locking factor, event related coherence analysis.10, 13, 14, 16, 19, 9A
Students will learn the functional roles of delta, theta, alpha, beta and gamma responses during functions of the brain. Students will also learn how these responses change during different brain pathologies. 10, 13, 14, 19, 9A
Teaching Methods:10: Discussion Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 19: Brainstorming Technique, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
11. Introduction to Neuron and Neuronal Networks
22.Attention, Perception, Learning, Remembering Processes
33.Cognitive Paradigms in Brain Reserach
44.Emotional Paradigms in Brain Research
55.Preparations for EEG recording
66.Application of EEG recording
77.Application of EEG recording
88. ArtefaCT rejection
99. Analysis of Evoked/Event related Potentials
1010. Analysis of event related Power Spectrum
1111.Analysis of Digital Filtering
1212.Analysis of EEG coherence
1313.Analysis of phase locking factor
Resources
EEG-Brain Dynamics - Relation between EEG and Brain Evoked Potentials,Elsevier/North-Holland, Amsterdam (1980) ,( Başar E.) Amsterdam (1980) ,( Başar E.) Brain Function and Oscillations I. Brain Oscillations. Principles and Approaches Springer, Berlin- Heidelberg- New York (1998) ( Başar E.) Brain Function and Oscillations II. Integrative Brain Function. Neurophysiology a nd Cognitive Processes Springer, Berlin- Heidelberg- New York (1999) ( Başar E ) Memory and Brain Dynamics: Oscillations Integrating Attention, Perception, Learning a nd Memory CRC Press I SBN : 041530864 ( Başar, E. )

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Has the essential knowledge about the structure and functioning of the nervous system.
X
2
Knows the essential scientific questions of neuroscience and current fields of research.
X
3
Have knowledge and interpretation skills about neurodegenerative processes.
4
Know the principles of technologies for the measurement of molecular and cellular level parameters.
5
Able to comment on related scientific researches with respect to rational, method and results.
X
6
Knows main laboratory techniques.
X
7
Able to explain main scientific questions regarding neuroscience.
X
8
Able to evaluate all new information regarding the field and associate them based on available knowledge.
X
9
Uses the communication and computer technology effectively in theoretical and practical studies.
X
10
Able to present theoretical or research data orally or written in Turkish as well in English languages.
X
11
Adheres to ethical values and behaves according to dynamics of social responsibility.
X
12
Behaves in accordance with the principle that neuroscience research should eventually aim clinical implications and benefit.
X
13
Able to participate neuroscience research teams; individually undertake the responsibility of the work assigned and perform it independently.
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14228
Guided Problem Solving148112
Resolution of Homework Problems and Submission as a Report000
Term Project000
Presentation of Project / Seminar000
Quiz000
Midterm Exam11616
General Exam12424
Performance Task, Maintenance Plan000
Total Workload(Hour)180
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(180/30)6
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUC. to COGNITIVE ELECTRO. and BRAIN OSCILLA. -Spring Semester2+026
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelSecond Cycle (Master's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Bahar GÜNTEKİN
Name of Lecturer(s)Prof.Dr. Lütfü HANOĞLU, Prof.Dr. Gürkan ÖZTÜRK, Prof.Dr. Bahar GÜNTEKİN
Assistant(s)
AimThe aim of the course is teach the EEG-Brain Dynamics Methodologies, principles of EEG recording and analysis.
Course ContentThis course contains; 1. Introduction to Neuron and Neuronal Networks,2.Attention, Perception, Learning, Remembering Processes,3.Cognitive Paradigms in Brain Reserach,4.Emotional Paradigms in Brain Research,5.Preparations for EEG recording,6.Application of EEG recording,7.Application of EEG recording,8. ArtefaCT rejection,9. Analysis of Evoked/Event related Potentials,10. Analysis of event related Power Spectrum,11.Analysis of Digital Filtering,12.Analysis of EEG coherence,13.Analysis of phase locking factor.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Preparations for EEG recording Performing EEG recording Performing artefact rejection in EEG Analysis of Event Related Potentials Analysis of event related Power Spectrum Analysis of Digital Filtering Analysis of phase locking factor Analysis of EEG coherence10, 13, 14, 16, 19, 9A
Student will be able to perform EEG artefact rejections, they will be able to analyze Event Related Potentials. 10, 13, 14, 16, 19, 9A
Students will learn to analyze Event related Power spectrum, Event Related digiltal filtering, phase locking factor, event related coherence analysis.10, 13, 14, 16, 19, 9A
Students will learn the functional roles of delta, theta, alpha, beta and gamma responses during functions of the brain. Students will also learn how these responses change during different brain pathologies. 10, 13, 14, 19, 9A
Teaching Methods:10: Discussion Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 19: Brainstorming Technique, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
11. Introduction to Neuron and Neuronal Networks
22.Attention, Perception, Learning, Remembering Processes
33.Cognitive Paradigms in Brain Reserach
44.Emotional Paradigms in Brain Research
55.Preparations for EEG recording
66.Application of EEG recording
77.Application of EEG recording
88. ArtefaCT rejection
99. Analysis of Evoked/Event related Potentials
1010. Analysis of event related Power Spectrum
1111.Analysis of Digital Filtering
1212.Analysis of EEG coherence
1313.Analysis of phase locking factor
Resources
EEG-Brain Dynamics - Relation between EEG and Brain Evoked Potentials,Elsevier/North-Holland, Amsterdam (1980) ,( Başar E.) Amsterdam (1980) ,( Başar E.) Brain Function and Oscillations I. Brain Oscillations. Principles and Approaches Springer, Berlin- Heidelberg- New York (1998) ( Başar E.) Brain Function and Oscillations II. Integrative Brain Function. Neurophysiology a nd Cognitive Processes Springer, Berlin- Heidelberg- New York (1999) ( Başar E ) Memory and Brain Dynamics: Oscillations Integrating Attention, Perception, Learning a nd Memory CRC Press I SBN : 041530864 ( Başar, E. )

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Has the essential knowledge about the structure and functioning of the nervous system.
X
2
Knows the essential scientific questions of neuroscience and current fields of research.
X
3
Have knowledge and interpretation skills about neurodegenerative processes.
4
Know the principles of technologies for the measurement of molecular and cellular level parameters.
5
Able to comment on related scientific researches with respect to rational, method and results.
X
6
Knows main laboratory techniques.
X
7
Able to explain main scientific questions regarding neuroscience.
X
8
Able to evaluate all new information regarding the field and associate them based on available knowledge.
X
9
Uses the communication and computer technology effectively in theoretical and practical studies.
X
10
Able to present theoretical or research data orally or written in Turkish as well in English languages.
X
11
Adheres to ethical values and behaves according to dynamics of social responsibility.
X
12
Behaves in accordance with the principle that neuroscience research should eventually aim clinical implications and benefit.
X
13
Able to participate neuroscience research teams; individually undertake the responsibility of the work assigned and perform it independently.
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 27/11/2023 - 00:05Son Güncelleme Tarihi: 27/11/2023 - 00:06