EEE4444 Engineering in NeuroscienceBahçeşehir UniversityDegree Programs ELECTRICAL AND ELECTRONICS ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ELECTRICAL AND ELECTRONICS ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
EEE4444 Engineering in Neuroscience Fall 3 0 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
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.

Learning Outcomes

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

Course Content

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

Weekly Detailed Course Contents

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

Sources

Course Notes / Textbooks: İlgili konulara göre farklı kaynaklardan faydalanılacaktır.
According to the related topics different references will be used.
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 1 % 20
Presentation 1 % 20
Midterms 1 % 20
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 2 28
Presentations / Seminar 1 20 20
Homework Assignments 1 20 20
Midterms 1 20 20
Final 1 20 20
Total Workload 150

Contribution of Learning Outcomes to Programme Outcomes

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.