| Course Type | Elective Course |
|---|
| Course Level | Master's Degree With Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- To have information about sleep structure and stages.
- To have information about the physiological markers in sleep.
- Ability to analyze macro structures in Sleep Signals.
- Ability to analyze micro structures in Sleep Signals.
- Ability to analyze sound signals in Sleep Signals.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | What is Sleep? Structure of Sleep, Stages of Sleep; Physiological Markers in Sleep; Physiological Markers in Sleep
Polysomnography, Sleep Disorders, Macro Analysis of Sleep Signals, Case Study: EEG, EKG, Respiration etc.
Micro-Analysis of Sleep Signals, Case study: EEG, EMG, ERP etc;Analysis of Sound Signals in Sleep |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
1st Week What is Sleep? Structure of sleep, sleep stages |
|
2nd Week |
2nd Week Physiological Markers in Sleep |
|
3rd Week |
3rd Week Physiological Markers in Sleep |
|
4th Week |
4th Week the polysomnography |
|
5th Week |
5th Week Sleep disorders |
|
6th Week |
6th Week Macro Analysis in Sleep Signals, Case Study: EEG, ECG, Respiration, etc. |
|
7th Week |
7th Week Macro Analysis in Sleep Signals, Case Study: EEG, ECG, Respiration, etc. |
|
8th Week |
8th Week MIDTERM |
|
9th Week |
9th Week Micro Analysis in Sleep Signals, Case Study: EEG, EMG, ERP etc. |
|
10th Week |
10th Week Micro Analysis in Sleep Signals, Case Study: EEG, EMG, ERP etc. |
|
11th Week |
11th Week Micro Analysis in Sleep Signals, Case Study: EEG, EMG, ERP etc. |
|
12th Week |
12th Week Analysis of Sound Signals in Sleep |
|
13th Week |
13th Week Project Presentations |
|
14th Week |
14th Week Project Presentations |
|
| Recommended or Required Reading | Rangayyan, Rangaraj M. Biomedical signal analysis. Vol. 33. John Wiley & Sons, 2015.
Oppenheim, Alan V. Discrete-time signal processing. Pearson Education India, 1999.
American Academy of Sleep Medicine (AASM) Sleep Scoring Book, 2007
|
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Presentation
- Project
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Project |
1 |
60 |
| Attendance |
1 |
10 |
| Total(%) |
|
100 |
| Contribution of In-term Studies to Overall Grade(%) |
|
100 |
| Contribution of Final Examination to Overall Grade(%) |
|
0 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
72 |
72 |
| Preparation for Quiz |
0 |
0 |
0 |
| Individual or group work |
2 |
3 |
6 |
| Preparation for Final exam |
1 |
24 |
24 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
24 |
24 |
| Laboratory (including preparation) |
0 |
0 |
0 |
| Final exam |
1 |
96 |
96 |
| Homework |
|
|
|
| Project |
1 |
24 |
24 |
| Total Work Load | 288 |
| Total Work Load / 30 (h) | 9.6 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
