COURSE UNIT TITLE

: BIOSENSORS AND THEIR BASIC PRINCIPLES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BYT 5009 BIOSENSORS AND THEIR BASIC PRINCIPLES ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ŞENOL ALPAT

Offered to

Ph.D. in Biotechnology
Ph.D. in Biotechnology
BIOTECHNOLOGY

Course Objective

In the course the students should be able to define biosensors as analytical devices incorporating a biological material integrated within a physicochemical transducer, or transducing microsystem, which may be optical, electrochemical, thermometric, piezoelectric or magnetic. In addition the students will learn where and which purposes the biosensors can be used.

Learning Outcomes of the Course Unit

1   Gain an ability how a biosensor is prepared
2   Gain ability to design biosensors
3   Gain an insight about type of transducers used in biosensors
4   Be able to understand the important performance factors in biosensors
5   To explore and compare the advantages/disadvantages of using methods
6   Be able to review, compare and interpret the results of the research about biosensors.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 General overview of biosensors
2 Bioreseptors and their immobilization
3 Preparation of transducer with conductive polymers
4 Electrochemical biosensors
5 Enzyme sensors
6 Some specific applications of enzyme sensors
7 Performance factors of enzyme sensors
8 Midterm exam
9 Optic biosensors
10 Nucleic acid analysis and biosensors
11 Immunosensors
12 Affinity biosensors
13 Use fields of biosensors
14 General evaluation

Recomended or Required Reading

Eggins, R. B, (1996), Biosensors: an Introduction, Wıley&Teubner, New York, 212p.
Telefoncu, A. (Ed), (1999), Biyosensörler : Ege Ün.Fen Fak Basım Evi, Izmir, 280 p.
Cunningham,J.A.,Introduction toBioanalytical Sensors,(1998), John Wiley&Sons, New York,403 p.
Malhotra, D. B,&Turner P,F,A.,(2003),Advances in Biosensors,Elsevier Science,Amsterdam, 176 p.

Planned Learning Activities and Teaching Methods

Brain storm, cooperative learning, problem based learning, interactive learning, presentation

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 PRS PRESENTATION
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE* 0.30 + ASG * 0.20 + PRS * 0.10 + FIN * 0.40
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE* 0.30 + ASG * 0.20 + PRS * 0.10 + RST * 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

long-answer exam, homework, article investigation, prpare projects, presentation and in-class activities

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

senol.alpat@deu.edu.tr
Buca Eğitim Fakültesi
Kimya Eğitimi Anabilim Dalı

Office Hours

Monday 8-10

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 10 2 20
Preparation for midterm exam 1 12 12
Preparation for final exam 1 12 12
Preparing presentations 2 12 24
Design Project 2 24 48
Preparing assignments 2 16 32
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 191

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6
LO.1545553
LO.2555543
LO.3434443
LO.4434443
LO.5335443
LO.6555553