Course Information
Course Title Code Semester T + P ECTS
Biosensors BMM425 7 3 + 0 6

Prerequisites None

Language Turkish
Level Bachelor's Degree
Type Area Elective
Coordinator Assoc.Prof. MUHAMMET UZUNTARLA
Instructors
Goals The working principles of biosensors, biosensor technology and applications in business. Provides contribute to the development on development of biosensors, application areas and principles of operation.
Contents The basic principles of operation of biosensors, the biological components of biosensors physical and chemical properties of the nucleic acids, enzymes-substrate relationship, the antigen-antibody interactions, ligand-receptor interactions, biological signals and converting applications and biosensors will be discussed in this course.
Work Placement(s) Absent

Number Learning Outcomes
1 Facilities of biosensors in the application , information on the advantages and disadvantages of use.
2 The prevalence of daily life and the importance of biosensors.
3 Will provide a better understanding of the importance of interdisciplinary collaborations.
4 Can facilitate students to use the existing biosensors and assist with designing new biosensors.
5 Will help students understand the principles and applications of biological functioning of the sensors provide a solid foundation.

Mode of Delivery Face-to-Face
Planned Learning Activities & Teaching Methods Theoretical and interactive narrative
Assessment Methods Midterm the final exam



Course Content
Week Topics Study Materials
1 General information about Biosensors Read on the subject.
2 The component parts of a biosensor (analyte semi-permeable membranes, the detector and the transducer and so on.) And principles of operation of these components Read on the subject.
3 The component parts of a biosensor (analyte semi-permeable membranes, the detector and the transducer and so on.) And principles of operation of these components Read on the subject.
4 Key requirements for biosensors (highly selective, fast turnaround, reliability, repeatable, stability, longevity, etc.). Read on the subject.
5 Key requirements for biosensors (highly selective, fast turnaround, reliability, repeatable, stability, longevity, etc.). Read on the subject.
6 Key requirements for biosensors (highly selective, fast turnaround, reliability, repeatable, stability, longevity, etc.). Read on the subject.
7 Classification of biosensors: nucleic acid-based biosensors (principles of hybridization and DNA microchips) Read on the subject.
8 Classification of biosensors: nucleic acid-based biosensors (principles of hybridization and DNA microchips) Read on the subject.
9 Midterm Read on the subject.
10 Protein-based biosensors (enzyme sensors - enzyme / substrate interactions) Read on the subject.
11 Protein-based biosensors (enzyme sensors - enzyme / substrate interactions) Read on the subject.
12 Immunosensors - antigen / antibody interactions Read on the subject.
13 Immunosensors - antigen / antibody interactions Read on the subject.
14 Bioreceptors - receptor / ligand interactions and cell biosensors Read on the subject.



Sources
Textbook 1)Andreas Manz, Nicole Pamme and Dimitri Iossifidis, Bioanalitical Chemistry, Imperial College Pres, 2003 2)Kiyoshi Toko, Biomimetic Sensor Technology: Cambrige University Pres, 2000 Susan R. Mikkelsen, Eduardo CortonJohn Bioanalitical Chemistry, Willwy
Additional Resources 1)Brian R. Eggins, Chemical Sensors and Biosensors, Wiley&Sons Ltd., 2002 2)Susan R. Mikkelsen, Eduardo CortonJohn Bioanalitical Chemistry, Willwy and Sons Inc. Publication, 2004



Assessment System Quantity Percentage
In-Term Studies
Mid-terms 1 100
In-Term Total 1 100
Contribution of In-Term Studies to Overall 40
Contribution of Final Exam to Overall 60
Total 100





Course's Contribution to PLO
No Key Learning Outcomes Level
1 2 3 4 5
1 Has principal knowledge about Math, Science and Engineering subjects related to their own branches. x
2 Uses Math, Science and theoretical and practical knowledge of their own areas to find solutions for current engineering problems. x
3 Identifies, formulates and solves engineering problems, for that purpose, selects and applies appropriate analytical methods and modeling techniques. x
4 Analyzes a system, a component, or a process, designs under realistic constraints to meet the desired requirements; implements the methods of modern design accordingly. x
5 Selects and uses modern techniques and tools necessary for engineering applications. x
6 Designs and performs experiments, collects data, analyzes and interprets the results. Finds solutions to problems in the fields of medicine and biology using engineering techniques. x
7 Works effectively as an individual and multidisciplinary teams. x
8 Collects information and does research of resources for this purpose, uses databases and other information resources. x
9 Is aware of necessity of lifelong learning; monitors developments in science and technology and continuously renews himself/herself. x
10 Uses informatics and communication technology with computer software that is minimum required by the European Computer Driving Licence Advanced Level. x
11 Communicates effectively verbal and written, uses at least one foreign language at B1 level of European Language Portfolio. x
12 Is aware of universal and social effects of engineering solutions and applications, Is aware of entrepreneurship and innovation and has knowledge of contemporary issues. x
13 Has principal knowledge about professional and ethical responsibility. x
14 Holds awareness about project management, workplace practices, employee health, environmental and occupational safety; and about the legal implications of engineering applications. x
15 Trains individuals to be preferred in biomedical industry by national and international institutions and have the qualification of hardware. x
16 Provides training and consulting services to improve the quality and reliability in the use of technology in hospitals in the field of clinical engineering. x
17 Provides consulting and technical support services to hospitals, health organizations and medical technology manufacturers/sellers. x



ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities Quantity Duration (Hour) Total Work Load (h)
Course Duration 14 3 42
Hours for off-the-classroom study (Pre-study, practice) 14 4 56
Assignments 6 2 12
Mid-terms 1 25 25
Final examination 1 30 30
Total Work Load (h) 165
Total Work Load / 30 (h) 5.5
ECTS Credit of the Course 6