• Basic information
• Learning outcomes
• Contents
• Assessment
• Workload

Learning outcomes

Upon successful completion of this course, students will be able to:

1. To compherend history of biosensores

   Contribution to Program Outcomes

   1. Define, Chemical, Biological, Radiological and Nuclear (cbrn) concepts in a specialized way and apply them in CBRN defense
   2. Understand relevant research methodologies and techniques and their appropriate application within his/her research field
   3. Work effectively in multi-disciplinary research teams
   4. Find out new methods to improve his/her knowledge
   5. Be aware of issues relating to the rights of other researchers and of research subjects e.g. confidentiality, attribution, copyright, ethics, malpractice, ownership of data

   Method of assessment

   1. Written exam
2. The objective is to determine which principle-based system and which sensor molecule to choose to be appropriate for proper diagnosis

   Contribution to Program Outcomes

   1. Define, Chemical, Biological, Radiological and Nuclear (cbrn) concepts in a specialized way and apply them in CBRN defense
   2. Analyze critically and evaluate his/her findings and those of others
   3. Asses risks of natura lor human made CBRN threats
   4. Find out new methods to improve his/her knowledge
   5. Be aware of issues relating to the rights of other researchers and of research subjects e.g. confidentiality, attribution, copyright, ethics, malpractice, ownership of data

   Method of assessment

   1. Written exam
3. Biosensor design, to understand the requirements and application areas

   Contribution to Program Outcomes

   1. Define, Chemical, Biological, Radiological and Nuclear (cbrn) concepts in a specialized way and apply them in CBRN defense
   2. Understand relevant research methodologies and techniques and their appropriate application within his/her research field
   3. Question and find out innovative approaches
   4. Asses risks of natura lor human made CBRN threats
   5. Support his/her ideas with various arguments and present them clearly to a range of audience, formally and informally through a variety of techniques
   6. Understand relevant health and safety issues and demonstrate responsible working practices

   Method of assessment

   1. Written exam
   2. Homework assignment

Contents
Week 1:	Introduction to Biosensor Concept and History of Biosensors
Week 2:	Biosensor Technology
Week 3:	Advantages and Disadvantages of Biosensors
Week 4:	Definition of Biosensors
Week 5:	Components of Biosensors
Week 6:	Transducers
Week 7:	Biological Recognition Systems-1 (Antibodies, Receptors, Enzymes and Cells as Recognition Molecules in Biosensors)
Week 8:	Mid-term exam
Week 9:	Biological Recognition Systems-2 (Nucleic acids, aptamers, MIPs and Lectins as Recognition Molecules in Biosensors)
Week 10:	Immobilization of Biological Recognition Molecules
Week 11:	Design of Biosensors
Week 12:	Requirements of Biosensors
Week 13:	Biosensor Applications
Week 14:	Commercialization of Biosensors
Week 15*:	Future of Biosensors and Artificial Sensory Systems
Week 16*:	Final exam
Textbooks and materials:	Advances in Biosensors: Perspectives in Biosensors, editör: Bansi Dhar Malhotra, Anthony Turner, Elsevier Science, V:5, 2003, NewYork
Recommended readings:	Advances in Biosensors: Perspectives in Biosensors, editör: Bansi Dhar Malhotra, Anthony Turner, Elsevier Science, V:5, 2003, NewYork
	* 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	35
Other in-term studies:		0
Project:		0
Homework:	10	15
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:	3	14
Practice, Recitation:	0	0
Homework:	6	10
Term project:	0	0
Term project presentation:	0	0
Quiz:	0	0
Own study for mid-term exam:	16	1
Mid-term:	3	1
Personal studies for final exam:	16	1
Final exam:	3	1
		Total workload:
		Total ECTS credits:	*
	* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)