Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|
| ENGINEERING in NEUROSCIENCE | BME4215535 | Spring Semester | 3+0 | 3 | 6 |
| Course Program | Perşembe 09:00-09:45 Perşembe 10:00-10:45 Perşembe 11:00-11:45 |
| 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 | Perşembe 09:00-09:45 Perşembe 10:00-10:45 Perşembe 11:00-11:45 |
| 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 |
Numerical Data
Ekleme Tarihi: 09/10/2023 - 10:40Son Güncelleme Tarihi: 09/10/2023 - 10:41
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