| NEUROSCIENCE (ENGLISH, THESIS) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| NSC5026 | Neuroimaging Methods in Neuroscience | Fall | 3 | 0 | 3 | 7 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
| Language of instruction: | Turkish |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assist. Prof. HANİFE YASEMİN KESKİN ERGEN |
| Course Objectives: | To provide knowledge of major neuroimaging methods and their scientific basis To develop skills in interpreting structural and functional brain images To foster critical evaluation of neuroimaging research To relate neuroimaging findings to cognitive and behavioral neuroscience |
|
The students who have succeeded in this course; At the end of the course, students will be able to: 1. Describe the principles and applications of key neuroimaging modalities 2. Interpret structural and functional brain imaging data 3. Compare advantages and limitations of different imaging techniques 4. Critically evaluate findings from neuroimaging literature 5. Design basic experimental paradigms using neuroimaging tools |
| The course is carried out in the classical method by presenting the weekly prepared topics by the lecturer to the students for discussion in class. |
| Week | Subject | Related Preparation |
| 1) | Introduction to Neuroimaging | |
| 2) | Physics of MRI and Basic Brain Anatomy | |
| 3) | Functional MRI (fMRI): Principles | |
| 4) | Data Analysis in fMRI Studies | |
| 5) | Diffusion Tensor Imaging (DTI) | |
| 6) | Positron Emission Tomography (PET) | |
| 7) | Electroencephalography (EEG) & MEG | |
| 8) | Midterm exam | |
| 9) | Student Presentations | |
| 10) | Student Presentations | |
| 11) | Student Presentations | |
| 12) | Student Presentations | |
| 13) | Student Presentations | |
| 14) | Student Presentations |
| Course Notes / Textbooks: | Seçilen güncel makaleler ve vaka örnekleri haftalık olarak paylaşılır. |
| References: | Huettel, S.A., Song, A.W., & McCarthy, G. (2014). Functional Magnetic Resonance Imaging Poldrack, R.A., Mumford, J.A., & Nichols, T.E. (2011). Handbook of Functional MRI Data Analysis |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 14 | % 20 |
| Presentation | 1 | % 30 |
| Final | 1 | % 50 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 50 | |
| PERCENTAGE OF FINAL WORK | % 50 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Study Hours Out of Class | 14 | 2 | 28 |
| Presentations / Seminar | 1 | 3 | 3 |
| Midterms | 1 | 3 | 3 |
| Final | 1 | 3 | 3 |
| Total Workload | 79 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Understands fundamental theoretical and practical knowledge in the field of neuroscience. | 3 |
| 2) | Gains advanced knowledge of the structure, functioning, and disorders of the nervous system. | 5 |
| 3) | Can design and analyze experiments using scientific research methods. | 5 |
| 4) | Communicates effectively and contributes to teamwork in multidisciplinary environments. | 3 |
| 5) | Conducts scientific research in accordance with ethical standards and reports results responsibly. | 2 |
| 6) | Follows current literature in neuroscience and makes critical evaluations. | 4 |
| 7) | Applies appropriate statistical methods to analyze neuroscientific data. | 3 |
| 8) | Develops original work in the field using new knowledge and technologies. | 4 |
| 9) | Evaluates the importance of neuroscience for individual and public health. | 3 |
| 10) | Effectively presents knowledge and skills through written, oral, and visual means. | 2 |