ELECTRICAL AND ELECTRONICS ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
EEE4444 | Engineering in Neuroscience | Fall Spring |
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: | Bachelor |
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 | |
1) | Adequate knowledge in mathematics, science and electric-electronic engineering subjects; ability to use theoretical and applied information in these areas to model and solve engineering problems. | |
2) | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | |
3) | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) | |
4) | Ability to devise, select, and use modern techniques and tools needed for electrical-electronic engineering practice; ability to employ information technologies effectively. | |
5) | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems. | |
6) | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | |
7) | Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. | |
8) | Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | |
9) | Awareness of professional and ethical responsibility. | |
10) | Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. | |
11) | Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |