Course Detail
Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|---|---|---|---|---|
ENGINEERING in NEUROSCIENCE | BME4215535 | Spring Semester | 3+0 | 3 | 6 |
Course Program |
Prerequisites Courses | |
Recommended Elective Courses |
Language of Course | English |
Course Level | First Cycle (Bachelor's Degree) |
Course Type | Elective |
Course Coordinator | Assist.Prof. Zafer İŞCAN |
Name of Lecturer(s) | Assist.Prof. Zafer İŞCAN |
Assistant(s) | |
Aim | 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. |
Course Content | This course contains; Introduction to Engineering in Neuroscience,Neurons and action potentials,Brain and its structure,Brain oscillations and their meaning ,Neuroimaging Methods: Electroencephalography ,Explanation of Assignments,Brain-computer interfaces,Other neuroimaging methods,Dealing with artifacts ,Brain Stimulation Methods (TACS, TDCS, TMS) ,Designing a Research Experiment ,Presentations of Assignment #2 (1st week) ,Presentations of Assignment #2 (2nd week),Presentations of Assignment #2 (3rd week). |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
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 |
Teaching Methods: | |
Assessment Methods: |
Course Outline
Order | Subjects | Preliminary Work |
---|---|---|
1 | Introduction to Engineering in Neuroscience | Read the Syllabus |
2 | Neurons and action potentials | Read the lecture slides |
3 | Brain and its structure | Read the lecture slides |
4 | Brain oscillations and their meaning | Read the lecture slides |
5 | Neuroimaging Methods: Electroencephalography | Read the lecture slides |
6 | Explanation of Assignments | Find a proper software |
7 | Brain-computer interfaces | Read the lecture slides |
8 | Other neuroimaging methods | Read the lecture slides |
9 | Dealing with artifacts | Read the lecture slides |
10 | Brain Stimulation Methods (TACS, TDCS, TMS) | Read the lecture slides |
11 | Designing a Research Experiment | Read the lecture slides |
12 | Presentations of Assignment #2 (1st week) | Upload your presentation file |
13 | Presentations of Assignment #2 (2nd week) | |
14 | Presentations of Assignment #2 (3rd week) |
Resources |
According to the related topics different references will be used. |
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications | |||||||
No | Program Qualification | Contribution Level | |||||
1 | 2 | 3 | 4 | 5 | |||
1 | An ability to apply knowledge of mathematics, science, and engineering | X | |||||
2 | An ability to identify, formulate, and solve engineering problems | X | |||||
3 | An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability | X | |||||
4 | An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice | X | |||||
5 | An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice | X | |||||
6 | An ability to function on multidisciplinary teams | X | |||||
7 | An ability to communicate effectively | X | |||||
8 | A recognition of the need for, and an ability to engage in life-long learning | X | |||||
9 | An understanding of professional and ethical responsibility | X | |||||
9 | An understanding of professional and ethical responsibility | X | |||||
10 | A knowledge of contemporary issues | X | |||||
11 | The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context | X | |||||
12 | Capability to apply and decide on engineering principals while understanding and rehabilitating the human body | X |
Assessment Methods
Contribution Level | Absolute Evaluation | |
Rate of Midterm Exam to Success | 30 | |
Rate of Final Exam to Success | 70 | |
Total | 100 |
ECTS / Workload Table | ||||||
Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
Course Hours | 14 | 3 | 42 | |||
Guided Problem Solving | 0 | 0 | 0 | |||
Resolution of Homework Problems and Submission as a Report | 1 | 30 | 30 | |||
Term Project | 0 | 0 | 0 | |||
Presentation of Project / Seminar | 1 | 30 | 30 | |||
Quiz | 0 | 0 | 0 | |||
Midterm Exam | 1 | 25 | 25 | |||
General Exam | 1 | 45 | 45 | |||
Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
Total Workload(Hour) | 172 | |||||
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(172/30) | 6 | |||||
ECTS of the course: 30 hours of work is counted as 1 ECTS credit. |
Detail Informations of the Course
Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|---|---|---|---|---|
ENGINEERING in NEUROSCIENCE | BME4215535 | Spring Semester | 3+0 | 3 | 6 |
Course Program |
Prerequisites Courses | |
Recommended Elective Courses |
Language of Course | English |
Course Level | First Cycle (Bachelor's Degree) |
Course Type | Elective |
Course Coordinator | Assist.Prof. Zafer İŞCAN |
Name of Lecturer(s) | Assist.Prof. Zafer İŞCAN |
Assistant(s) | |
Aim | 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. |
Course Content | This course contains; Introduction to Engineering in Neuroscience,Neurons and action potentials,Brain and its structure,Brain oscillations and their meaning ,Neuroimaging Methods: Electroencephalography ,Explanation of Assignments,Brain-computer interfaces,Other neuroimaging methods,Dealing with artifacts ,Brain Stimulation Methods (TACS, TDCS, TMS) ,Designing a Research Experiment ,Presentations of Assignment #2 (1st week) ,Presentations of Assignment #2 (2nd week),Presentations of Assignment #2 (3rd week). |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
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 |
Teaching Methods: | |
Assessment Methods: |
Course Outline
Order | Subjects | Preliminary Work |
---|---|---|
1 | Introduction to Engineering in Neuroscience | Read the Syllabus |
2 | Neurons and action potentials | Read the lecture slides |
3 | Brain and its structure | Read the lecture slides |
4 | Brain oscillations and their meaning | Read the lecture slides |
5 | Neuroimaging Methods: Electroencephalography | Read the lecture slides |
6 | Explanation of Assignments | Find a proper software |
7 | Brain-computer interfaces | Read the lecture slides |
8 | Other neuroimaging methods | Read the lecture slides |
9 | Dealing with artifacts | Read the lecture slides |
10 | Brain Stimulation Methods (TACS, TDCS, TMS) | Read the lecture slides |
11 | Designing a Research Experiment | Read the lecture slides |
12 | Presentations of Assignment #2 (1st week) | Upload your presentation file |
13 | Presentations of Assignment #2 (2nd week) | |
14 | Presentations of Assignment #2 (3rd week) |
Resources |
According to the related topics different references will be used. |
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications | |||||||
No | Program Qualification | Contribution Level | |||||
1 | 2 | 3 | 4 | 5 | |||
1 | An ability to apply knowledge of mathematics, science, and engineering | X | |||||
2 | An ability to identify, formulate, and solve engineering problems | X | |||||
3 | An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability | X | |||||
4 | An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice | X | |||||
5 | An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice | X | |||||
6 | An ability to function on multidisciplinary teams | X | |||||
7 | An ability to communicate effectively | X | |||||
8 | A recognition of the need for, and an ability to engage in life-long learning | X | |||||
9 | An understanding of professional and ethical responsibility | X | |||||
9 | An understanding of professional and ethical responsibility | X | |||||
10 | A knowledge of contemporary issues | X | |||||
11 | The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context | X | |||||
12 | Capability to apply and decide on engineering principals while understanding and rehabilitating the human body | X |
Assessment Methods
Contribution Level | Absolute Evaluation | |
Rate of Midterm Exam to Success | 30 | |
Rate of Final Exam to Success | 70 | |
Total | 100 |