School of Engineering \ Biomedical Engineering
Course Credit
ECTS Credit
Course Type
Instructional Language
Programs that can take the course
Department of Biomedical Engineering
BMM 316 course gives general information about biosensing mechanisms, production methods and working mechanisms of these systems. Within the scope of the course, general information about the basics of biosensor design, analysis of optical, electrical, mechanical sensors, transducer properties, biosensor performance parameters will be given. Sensor types will be grouped according to the interaction with the target analyte and electrochemical, mass sensitive and optical sensors will be examined. In addition to these topics, bioreceptor-target analyte interaction will be analysed and the parameters affecting the system will be explained in detail.
Textbook and / or References
• Biosensors: Fundamentals and Applications--- Bansi Dhar Malhotra & Chandra Mouli Pandey
• Biosensors--- Akifumi Kawamura, Takashi Miyata
• Biomedical Sensors and Instruments. Togawa, T., Tamura, T., & Öberg, P. Å. (2011). • Güncel makaleler ve ders notları
The aim of the course is to provide a solid foundation to help students understand the principles and applications of biosensors. In addition to this, the purpose of this course is to provide the students with the knowledge about the advantages and disadvantages of biosensors.
1. Learning the basic knowledge of biosensors, performance parameters such as LOD, LOQ and LDR, biosensor classification conditions, as well as the types, advantages and modifications of biosensing elements
2. Understanding the working principles of potentiometric, amperometric, voltammetric and impedimetric electrochemical sensors, SPR and fluorescence-based biosensors and mass-sensitive biosensors using piezoelectric transducers
3. Learning the working principles of biopotential electrodes and understanding the electrode–electrolyte interface.
4. Learning the working principles of pressure, force, and flow sensors (strain gauge, piezoelectric, capacitive) and their biomedical applications.
5. Learning the working principles of optical sensors (PPG, pulse oximetry, photodetectors) and the clinical measurement uses of Beer–Lambert law.
6. Developing a design project by conducting research on biomedical sensors/actuators and presenting the results in written form.
Week 1: Introduction to Biosensors
Week 2: Fundamental Components and Classification of Biosensors
Week 3: Performance Parameters and Electrochemical Biosensors
Week 4: Electrochemical Biosensors
Week 5: Optical and Mass-based Biosensors
Week 6: Biorecognition Elements of Biosensors
Week 7: Biopotential Electrodes & Measurements
Week 8: Semiconductor Device and Optical Transducers
Week 9: Physical Measurements
Week 10: Multisensors Data Fusion and ROC Curve
Week 11: Applications of Transducers in Temperature, Force and Flow Measurements
Week 12: Wearable Sensors and Internet of Things
| Tentative Assesment Methods |
| Activities |
Number |
Weight (%) |
| Course Attendance/Participation |
12 |
8% |
| Laboratory |
- |
- |
| Application |
- |
- |
| Homework |
- |
- |
| Project |
1 |
10% |
| Presentation |
- |
- |
| Field Work |
- |
- |
| Internship |
- |
- |
| Course Boards |
- |
- |
| Quiz |
6 |
17% |
| Midterm Exam |
1 |
35% |
| Final Exam |
1 |
30% |
|
Total |
100% |
| Tentative ECTS-Workload Table |
| Activities |
Number/Weeks |
Duration (Hours) |
Workload |
| Course Hours (first 6 weeks) |
6 |
4 |
24 |
| Course Hours (last 6 weeks) |
6 |
3 |
18 |
| Laboratory |
- |
- |
- |
| Application |
- |
- |
- |
| Homework |
- |
- |
- |
| Project |
1 |
10 |
10 |
| Presentation |
- |
- |
- |
| Field Work |
- |
- |
- |
| Internship |
- |
- |
- |
| Course Boards |
- |
- |
- |
| Preparation for Quiz |
6 |
5 |
30 |
| Preparation for Midterm Exam |
1 |
20 |
20 |
| Final Exam |
1 |
2 |
2 |
| Preparation for Final Exam |
1 |
20 |
20 |
| Study Hours Out of Class (preliminary work, reinforcement, etc.) |
12 |
4 |
48 |
| Total Workload | | |
172 |
| Total Workload / 30 | | |
172 / 30 |
| | |
5.733333 |
| ECTS Credits of the Course | | |
6 |
|
Program Outcome
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Course Outcome
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D, C
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D, C
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| 3 |
D, C
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| 4 |
D, C
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D, C
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| 6 |
D, C
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B, A
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A
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B
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A
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