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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS BIK 0632 AFFINITY BIOSENSORS ELECTIVE 2 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR ERHAN DINÇKAYA

Offered to

Industrial Ph.D. Program In Advanced Biomedical Technologies

Course Objective

Teaching the applications and basic principles of affinity biosensors

Learning Outcomes of the Course Unit

1   Be able to explain principles of affinity biosensors 2   Be able to understand various applications of affinity biosensors 3   Gain an ability to read scientific literature searching and interpret the knowledge on affinity biosensors 4   Be able to communicate various applications of affinity biosensors and different analytical purposes

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Principles of affinity biosensors 2 Affinity biosensors based on electrochemical 3 Affinity biosensors based on amperometry 4 Affinity biosensors based on potantiometry 5 Affinity biosensors based on conductometry 6 Affinity biosensors based on electrochemical impedans spectroscopy 7 Affinity biosensors based on optic 8 Mid-term Exam 9 Affinity biosensors based on piezoelectric cristal 10 Affinity biosensors based on SPR 11 Affinity biosensors based on thermistors 12 Class discussion on reading assigment 13 Evaluation, comprehension and comparison of techniques 14 Project presentation

Recomended or Required Reading

Rogers, Kim , Mulchandani, Ashok,1998,Affinity Biosensors,Humana Pres

Planned Learning Activities and Teaching Methods

Midterm %40 Final %60

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FIN FINAL EXAM 3 FCG FINAL COURSE GRADE MTE * 0.40 + FIN * 0.60 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60

Further Notes About Assessment Methods

to be announced.

Assessment Criteria

to be announced.

Language of Instruction

Turkish

Course Policies and Rules

to be announced.

Contact Details for the Lecturer(s)

Prof.Dr.Erhan Dinçkaya

Office Hours

to be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 2 28 Preparing presentations 2 10 20 Preparing assignments 2 1 2 Preparation to PBL Session 14 4 56 Preparation for midterm exam 1 23 23 Preparation for final exam 14 3 42 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 175

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 4 5 LO.2 3 5 LO.3 2 LO.4 1 1