TYPE OF COURSE UNIT | Elective Course |
LEVEL OF COURSE UNIT | Doctorate Of Science |
YEAR OF STUDY | - |
SEMESTER | - |
NUMBER OF ECTS CREDITS ALLOCATED | 10 |
NAME OF LECTURER(S) | Professor Yusuf Ziya İder
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LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students; 1) Student have general knowledge about transducer,sensors and analog signal conditioner circuits 2) Can be select appropriate DAQ instrument for their application 3) General knowledge about digital signal processing 4) Can be design Graphic User Interface 5) Can be made real time biomedical signal measurement and analysis aplication in computer
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MODE OF DELIVERY | Face to face |
PRE-REQUISITES OF THE COURSE | No |
RECOMMENDED OPTIONAL PROGRAMME COMPONENT | Electronics
Logic design
Microprocessor
Instrumentation
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COURSE DEFINITION | System design methods; Overview of sensors and transducers used in the biomedical field
Analog signal conditioning circuits; Graphical user interface design; DAQ systems;
Offline data receiving and sending; Basic signal processing applications |
COURSE CONTENTS | WEEK | TOPICS |
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1st Week | System designing methods | 2nd Week | General perspective of censors and transducers in biomedical engineering | 3rd Week | Analog signals conditioning circuits | 4th Week | Graphical user intarface design | 5th Week | Graphical user intarface design | 6th Week | DAQ systems | 7th Week | DAQ systems | 8th Week | Midterm | 9th Week | Offline data acquisition and transmitting | 10th Week | Offline data acquisition and transmitting | 11th Week | Offline data acquisition and transmitting | 12th Week | Basic signal processing applications | 13th Week | Basic signal processing applications | 14th Week | Project presentations | 15th Week | |
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RECOMENDED OR REQUIRED READING | Measurement and instrumentation theory and application Morris, Alan S. Matlab, signal prcessing , DAQ toolbox Internet and library sources. |
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Discussion,Presentation |
ASSESSMENT METHODS AND CRITERIA | | Quantity | Percentage(%) |
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Mid-term | 1 | 30 | Assignment | 1 | 10 | Project | 1 | 20 | Total(%) | | 60 | Contribution of In-term Studies to Overall Grade(%) | | 60 | Contribution of Final Examination to Overall Grade(%) | | 40 | Total(%) | | 100 |
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ECTS WORKLOAD |
Activities |
Number |
Hours |
Workload |
Midterm exam | 1 | 72 | 72 | Preparation for Quiz | 0 | 0 | 0 | Individual or group work | 2 | 3 | 6 | Preparation for Final exam | 1 | 24 | 24 | Course hours | 14 | 3 | 42 | Preparation for Midterm exam | 1 | 11 | 11 | Laboratory (including preparation) | 0 | 0 | 0 | Final exam | 1 | 96 | 96 | Homework | 1 | 24 | 24 | Project | 1 | 24 | 24 | Total Workload | | | 299 |
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Total Workload / 30 | | | 9,96 |
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ECTS Credits of the Course | | | 10 |
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LANGUAGE OF INSTRUCTION | English |
WORK PLACEMENT(S) | No |
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