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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS BMT 5019 MEDICAL DEVICES ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR MEHMET KUNTALP

Offered to

Industrial Ph.D. Program In Advanced Biomedical Technologies Industrial Ph.D. Program In Advanced Biomedical Technologies Biomedical Tehnologies (English)

Course Objective

The aim of this course is to provide students with knowledge on medical devices and instruments commonly used in hospitals, clinics and homes.

Learning Outcomes of the Course Unit

1   Get acquainted with diagnose and monitore devices. 2   Get acquainted with therapeutic devices. 3   Get acquainted with assist devices.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Medical Device Classification & Regulations 2 Physiological Signal Monitors 3 Mobile and remote monitoring devices 4 Unobtrusive Sensing Devices 5 Medical Imaging Systems 6 Auditory, Ophthalmology and Respiratory Measurement Devices 7 Medical Software Systems 8 Physical Therapy Devices 9 Electro Therapy Devices 10 Surgical Equipment 11 Assist Devices 12 Mechanical Prosthetic Devices 13 Neurostimulators 14 Wireless In-Body Devices

Recomended or Required Reading

will be announced

Planned Learning Activities and Teaching Methods

Homeworks, student presentations, exams

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FCG FINAL COURSE GRADE MTE * 0.50 + ASG * 0.50 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

wiill be posted

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

mehmet.kuntalp@deu.edu.tr

Office Hours

will be announced

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparations before/after weekly lectures 13 4 52 Preparation for midterm exam 1 25 25 Preparing presentations 4 12 48 Midterm 1 3 3 TOTAL WORKLOAD (hours) 167

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 3 4 3 2 2 LO.2 3 4 3 2 2 LO.3 3 4 3 2 2