Syllabus ( BENG 666 )
|
|
Basic information
|
|
| Course title: |
Wearable Technologies in Bioengineering |
| Course code: |
BENG 666 |
| Lecturer: |
Assoc. Prof. Dr. Hakan OFLAZ
|
| ECTS credits: |
7.5 |
| GTU credits: |
3 (3+0+0) |
| Year, Semester: |
1/2, Fall and Spring |
| Level of course: |
Third Cycle (Doctoral) |
| Type of course: |
Area Elective
|
| Language of instruction: |
English
|
| Mode of delivery: |
Face to face
|
| Pre- and co-requisites: |
none |
| Professional practice: |
No |
| Purpose of the course: |
With the integration of Medical Technologies into textile products, it has become possible to measure and monitor biological data. Routine behaviors and activities of people in their daily lives can be tracked and many important biological data such as SpO2, blood pressure, heart rate, step count, breath rate, blood sugar data can be recorded. This data provides information and clues about the health of its user. In this way, remote preventive medicine services can be provided. The aim of this course is to introduce these technologies to students and develop their thinking skills. |
|
|
|
Learning outcomes
|
|
Upon successful completion of this course, students will be able to:
-
Design wearable technologies used in bioengineering
Contribution to Program Outcomes
-
Develop their knowledge in the fields of Bioengineering and Biotechnology at the level of expertise based on undergraduate and graduate qualifications
-
Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself
-
Ability to work effectively in disciplinary and multi-disciplinary teams; individual working skills.
-
Ability to solve problems that require expertise in the fields of Bioengineering and Biotechnology by using scientific research methods
Method of assessment
-
Written exam
-
Seminar/presentation
-
Explain what kind of data and for what purpose are followed with wearable technologies
Contribution to Program Outcomes
-
Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself
-
Have investigative, productive and entrepreneurial capacity by using very important mental processes such as creative and critical thinking, taking initiative and decision making
-
Ability to solve problems that require expertise in the fields of Bioengineering and Biotechnology by using scientific research methods
Method of assessment
-
Written exam
-
Seminar/presentation
-
Explain what kind of data is followed with wearable technologies in preventive medicine and functional medicine
Contribution to Program Outcomes
-
Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself
-
Have professional and social ethical values
-
Ability to solve problems that require expertise in the fields of Bioengineering and Biotechnology by using scientific research methods
Method of assessment
-
Written exam
-
Seminar/presentation
|
|
|
Contents
|
|
| Week 1: |
Introduction to wearable technologies |
| Week 2: |
Wearable technologies and textile engineering |
| Week 3: |
Wearable technologies in bioengineering |
| Week 4: |
Wearable technology products used in bioengineering applications |
| Week 5: |
Data tracking and data recording with wearable technologies |
| Week 6: |
Communication and data transfer of wearable technologies with mobile phone applications |
| Week 7: |
Making sense of the obtained data |
| Week 8: |
Use of wearable technologies in Preventive Healthcare, Midterm |
| Week 9: |
The importance of wearable technologies in the field of preventive medicine |
| Week 10: |
Interface software and analysis of obtained data |
| Week 11: |
Feedback sent to the user over the obtained data |
| Week 12: |
Increasing the user's living standards and using them in preventive and complementary health services |
| Week 13: |
Functional medicine, Project presentations |
| Week 14: |
Functional medicine applications, Project presentations |
| Week 15*: |
- |
| Week 16*: |
Final Exam |
| Textbooks and materials: |
Jane McCann (Editor), David Bryson (Editor), Smart Clothes and Wearable Technology, Woodhead Publishing; 2nd edition (October 4, 2022), ISBN-10 ? : ? 0128195266 |
| Recommended readings: |
Edward Sazonov, Wearable Sensors: Fundamentals, Implementation and Applications, Academic Press; 2nd edition (November 10, 2020)
|
|
|
* Between 15th and 16th weeks is there a free week for students to prepare for final exam.
|
|
|
|
|
Assessment
|
|
|
| Method of assessment |
Week number |
Weight (%) |
|
| Mid-terms: |
8 |
30 |
| Other in-term studies: |
|
0 |
| Project: |
13, 14 |
20 |
| Homework: |
|
0 |
| Quiz: |
|
0 |
| Final exam: |
16 |
50 |
| |
Total weight: |
(%) |
|
|
|
|
Workload
|
|
|
| Activity |
Duration (Hours per week) |
Total number of weeks |
Total hours in term |
|
| Courses (Face-to-face teaching): |
3 |
14 |
|
| Own studies outside class: |
4 |
14 |
|
| Practice, Recitation: |
0 |
0 |
|
| Homework: |
0 |
0 |
|
| Term project: |
5 |
10 |
|
| Term project presentation: |
4 |
1 |
|
| Quiz: |
0 |
0 |
|
| Own study for mid-term exam: |
4 |
4 |
|
| Mid-term: |
2 |
1 |
|
| Personal studies for final exam: |
4 |
4 |
|
| Final exam: |
2 |
1 |
|
| |
|
Total workload: |
|
| |
|
Total ECTS credits: |
* |
|
|
* ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
|
|
|
-->
