MATHEMATICS (TURKISH, PHD) | |||||
PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
EEE4444 | Engineering in Neuroscience | Fall | 3 | 0 | 3 | 6 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | En |
Type of course: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi ZAFER İŞCAN |
Course Objectives: | This course aims at introducing neuroscience, one of the most popular research areas to engineering students and let students use their engineering knowledge in this field. |
The students who have succeeded in this course; Students who complete this course successfully: 1- Learn main concepts in neuroscience and physical structure of brain in general. 2- Know about brain's electrical activity (Electroencephalogram: EEG). 3- Learn working principles of several brain-computer interfaces. 4- Become familiar with various neuroimaging and neurostimulation methods. 5- Examine the effects of artifacts on EEG and learn how these effects can be removed. 6- Acquire skills on reviewing and presenting research papers on neuroscience 7- Apply signal processing methods on neuroimaging data using software |
Introduction to neuroscience, Neurons and action potentials, Brain and its structure, Brain oscillations, Neuroimaging methods: Electroencephalogram, Brain-computer interfaces, Other neuroimaging methods, Dealing with artifacts, Brain stimulation methods, Designing a research experiment |
Week | Subject | Related Preparation | |
1) | Introduction to Engineering in Neuroscience | ||
2) | Neurons and action potentials | ||
3) | Brain and its structure | ||
4) | Brain oscillations and their meaning | ||
5) | Neuroimaging Methods: Electroencephalography | ||
6) | Brain-computer interfaces | ||
7) | Midterm & Assignment 1(Matlab) | ||
8) | Other neuroimaging methods: MRI, PET, fNIRS… etc. | ||
9) | Dealing with artifacts | ||
10) | Brain Stimulation Methods (TACS, TDCS, TMS) | ||
11) | Designing a Research Experiment | ||
12) | Presentations of Assignment #2 | ||
13) | Presentations of Assignment #2 | ||
14) | Evaluation of the course and free discussion |
Course Notes: | İlgili konulara göre farklı kaynaklardan faydalanılacaktır. According to the related topics different references will be used. |
References: |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | % 0 | |
Laboratory | % 0 | |
Application | % 0 | |
Field Work | % 0 | |
Special Course Internship (Work Placement) | % 0 | |
Quizzes | % 0 | |
Homework Assignments | 1 | % 20 |
Presentation | 1 | % 20 |
Project | % 0 | |
Seminar | % 0 | |
Midterms | 1 | % 20 |
Preliminary Jury | % 0 | |
Final | 1 | % 40 |
Paper Submission | % 0 | |
Jury | % 0 | |
Bütünleme | % 0 | |
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 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Special Course Internship (Work Placement) | 0 | 0 | 0 |
Field Work | 0 | 0 | 0 |
Study Hours Out of Class | 14 | 2 | 28 |
Presentations / Seminar | 1 | 20 | 20 |
Project | 0 | 0 | 0 |
Homework Assignments | 1 | 20 | 20 |
Quizzes | 0 | 0 | 0 |
Preliminary Jury | 0 | 0 | 0 |
Midterms | 1 | 20 | 20 |
Paper Submission | 0 | 0 | 0 |
Jury | 0 | 0 | 0 |
Final | 1 | 20 | 20 |
Total Workload | 150 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution |