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 |
NSC5017 | Experimental 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 : | Assoc. Prof. TİMUÇİN AVŞAR |
Course Objectives: | 1. To provide foundational knowledge of experimental neuroscience tools and methods. 2. To improve students’ ability to interpret scientific data. 3. To develop critical thinking in evaluating experimental designs. 4. To familiarize students with ethical practices in neuroscience research. |
The students who have succeeded in this course; Students who successfully complete the course will be able to: 1. Describe key experimental methods used in neuroscience. 2. Interpret data derived from electrophysiological, imaging, and behavioral studies. 3. Critically assess the strengths and limitations of experimental approaches. 4. Discuss the ethical aspects of animal and human research in neuroscience. 5. Review and present experimental studies in the literature. |
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 Experimental Neuroscience | |
2) | Ethics in Experimental Neuroscience | |
3) | Animal Models in Neuroscience | |
4) | Basic Electrophysiology Techniques | |
5) | Imaging the Brain: fMRI, PET, and Optical Imaging | |
6) | Behavioral Testing and Analysis | |
7) | Optogenetics and Chemogenetics | |
8) | Midterm exam | |
9) | Genetic Engineering in Neuroscience | |
10) | DNA isolation methods | |
11) | PCR and PCR Types | |
12) | DNA sequencing methods | |
13) | Flow cytometry and cell sorting methods | |
14) | Research article discussion |
Course Notes / Textbooks: | Ders notları |
References: | Purves et al. (2018). Neuroscience, 6th Edition. Kandel et al. (2013). Principles of Neural Science. Selected articles from Nature Neuroscience, Neuron, and Journal of Neuroscience (shared weekly via LMS). |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 14 | % 20 |
Midterms | 1 | % 40 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 1 | 14 |
Homework Assignments | 2 | 2 | 4 |
Midterms | 1 | 3 | 3 |
Final | 1 | 3 | 3 |
Total Workload | 66 |
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. | 4 |
2) | Gains advanced knowledge of the structure, functioning, and disorders of the nervous system. | 4 |
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. | 3 |
6) | Follows current literature in neuroscience and makes critical evaluations. | 5 |
7) | Applies appropriate statistical methods to analyze neuroscientific data. | 4 |
8) | Develops original work in the field using new knowledge and technologies. | 5 |
9) | Evaluates the importance of neuroscience for individual and public health. | 4 |
10) | Effectively presents knowledge and skills through written, oral, and visual means. | 4 |