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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS BST 5004 LAB-ON-A-CHIP SYSTEMS IN BIOMEDICINE ELECTIVE 3 0 0 9

Offered By

Biomedicine and Health Technologies

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR SINAN GÜVEN

Offered to

Biomedicine and Health Technologies

Course Objective

To learn principles of lab-on-a-chip technologies. To be familiar with techniques in microfluidics, biosensors and nanotechnology. To understand cell based bioengineering applications. To understand the importance of lab-on-a-chip technologies in biomedicine.

Learning Outcomes of the Course Unit

1   To understand fundamental principles of lab-on-a-chip systems in biomedicine 2   To be able to distinguish physical and biochemical aspects of BioMEMS technologies 3   To learn design principles of lab-on-a-chip systems 4   To learn different lab-on-a-chip systems 5   To learn cell culture techniques on lab-on-a-chip systems 6   To understand the potency of bioengineering in biomedicine 7   To understand tissue and disease models applications using lab-on-a-chip systems 8   To be able to access literature, present and discuss bioengineering approaches

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to BioMEMS 2 Physical and chemical aspects in lab-on-a-chip systems 3 Biomaterials 4 Bioreactors 5 Bioreactor design in micro scale 6 Biosensors 7 Biosensor design 8 Lab-on-a-chip systems 9 Microfluidic system design 10 Midterm 11 3D cell culture techniques in lab-on-a-chip systems 12 Nanotechnology in biomedicine 13 Drug delivery applications in lab-on-a-chip systems 14 Point of care technologies 15 High throughput screening systems 16 Final

Recomended or Required Reading

1. Mobile Health Technologies Methods and Protocols, Editors: Avraham Rasooly, Keith E. Herold, Humana Press, 2015. 2. Introduction to biosensors: From electric circuits to immunosensors, Yeong-Yeol Yoon, Springer, 2013 3. Introduction to BioMEMS, Albert Folch, CRC Press 2013

Planned Learning Activities and Teaching Methods

Lecturing, presentations, homeworks

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FIN FINAL EXAM 3 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + FIN *0.50 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + RST * 0.50 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

sinan.guven@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 5 70 Preparation for midterm exam 1 15 15 Preparation for final exam 1 20 20 Preparing assignments 2 25 50 Preparing presentations 1 15 15 Final 1 10 10 Midterm 1 5 5 TOTAL WORKLOAD (hours) 227

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 LO.1 5 5 5 5 LO.2 5 5 5 5 LO.3 5 5 5 5 LO.4 5 5 5 5 LO.5 5 5 5 5 LO.6 5 5 5 5 LO.7 5 5 5 5 LO.8 5 5 5 5 5