KÄ°M718 - AFFINITY SENSORS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| AFFINITY SENSORS | KÄ°M718 | Any Semester/Year | 3 | 0 | 3 | 10 |
| Prequisites | none | |||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Question and Answer | |||||
| Instructor (s) | Prof. Dr. Nilay Bereli | |||||
| Course objective | The aim of the course is to introduce what are chemical sensors; principles and applications of affinity based biosensors and their types depending on the transducers. | |||||
| Learning outcomes |
| |||||
| Course Content | The course covers the topics of; learning general terms relating to chemical sensors, definiton and application of affinity based biosensors, and their types depending on the transducers. | |||||
| References | Lecture notes / Recent publications F.G. Banica, "Chemical sensors and biosensors: Fundamentals and applications", 22, John Wileys & Sons Ltd., West Sussex, UK. K.R. Rogers, A. Mulchandani,"Affinity Biosensors: Techniques and Protocols (Methods in Biotechnology)", 1998, Humana Press Inc, New Jersey, USA. K. Iniewski, "Biological and Medical Sensor Technologies", 2012, CRC Press, Taylor & Francis Group, Florida, USA. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | First meeting and general information about course and its structure |
| Week 2 | -What are chemical sensors - Definition and components /Recognition methods / Transduction methods - Sensor configuration and fabrication / Sensor calibration - Sensors in flow analysis systems / Applications of chemical sensors |
| Week 3 | -Principles of affinity based biosensors -Protein structure and properties -Enzymes and enzymatic sensors -Affinity based recognition |
| Week 4 | -Nucleic acids in chemical sensors -Nanomaterial applications in chemical sensors |
| Week 5 | -Thermochemical sensors -Potentiometric sensors -Amperometric enzyme sensors |
| Week 6 | -Electrochemical affinity and nucleic acid sensors -Electrical impedance based sensors |
| Week 7 | -Optical sensors-fundamentals -Electromagnetic radiation / Optical waveguides -Spectrochemical transduction methods / Fiber optic sensors arrays |
| Week 8 | -Label-free transduction - Surface plasmon resonance spectrometry -Interferometric transduction |
| Week 9 | -Optical sensors-applications -Nanomaterials in optical transduction -Quantum dots / Carbon nanotubes / Metal nanoparticles |
| Week 10 | -Nanomaterials in optical transduction -Porous silicon / Luminescent lanthanide compounds |
| Week 11 | -Acoustic wave sensors -Piezoelectric effect / Quartz crystal microbalance sensors -Surface acoustic wave sensors -Microcantilever sensors |
| Week 12 | Midterm |
| Week 13 | Student presentation (hot topics in affinity sensors) |
| Week 14 | Student presentation (hot topics in affinity sensors) |
| Week 15 | General remarks |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 13 | 30 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 0 | 0 |
| Presentation | 1 | 20 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 1 | 30 |
| Final exam | 1 | 50 |
| Total | 130 | |
| Percentage of semester activities contributing grade succes | 1 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 10 | 140 |
| Presentation / Seminar Preparation | 1 | 40 | 40 |
| Project | 0 | 0 | 0 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 1 | 40 | 40 |
| Final Exam (Study duration) | 1 | 40 | 40 |
| Total Workload | 31 | 133 | 302 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Specializes through postgraduate studies and introduces innovative scientific concepts to their field. | X | ||||
| 2. Analyzes sophisticated ideas and obtains original results by evaluating interdisciplinary interactions. | X | ||||
| 3. Evaluates, criticizes, interprets, and communicates new information in their field without prejudice. | X | ||||
| 4. Develops new ideas, methods, and applications in their field or adapts them to different areas. | X | ||||
| 5. Develops scientific strategies using various research methods based on advanced knowledge and experience. | X | ||||
| 6. Contributes to scientific knowledge by publishing original articles in national/international refereed journals. | X | ||||
| 7. Contributes to original work and interdisciplinary problem-solving, taking a leadership role in their field. | X | ||||
| 8. Develops new thoughts and methods using creative and critical thinking for problem-solving. | X | ||||
| 9. Defends original views and communicates effectively while discussing with competent people. | X | ||||
| 10. Accesses international sources, updates knowledge, and communicates with colleagues using a foreign language. | X | ||||
| 11. Conducts research in national and international scientific research groups. | X | ||||
| 12. Keeps track of advancements in their field, internalizes them, and contributes to society's knowledge and sustainability. | X | ||||
| 13. Manages data related to their field effectively and securely, considering societal, scientific, cultural, and ethical values. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest