Lesson plan / COMPUTER APPLICATIONS IN BIOMEDICAL ENGINEERING

Lesson Information

Course Credit 4.0
Course ECTS Credit 5.0
Teaching Language of Instruction Türkçe
Level of Course Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course Compulsory
Mode of Delivery Face-to-face
Does the course require compulsory or optional work experience? Z
Course Coordinator Prof. Dr. MİNE ERGÜVEN
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course The aim is to teach how to make adaptation, use and design of computer programs at medicine/health, treatment and monitorizing namely bioinformatics.
Course Content Medical informatic patient data; Curve fitting for medical data and interpolation; Medical signals collection, storage, analysis; Medical signals collection, storage, analysis; The reliability of information systems; The research in biomedical engineering such as the disciplines medicine, pharmacology and genetics and the sorftwares used for analysis and MATLAB applications; Algorithms, data base and simulation development techniques.

Weekly Course Subjects

1Medical informatic patient data.
2Curve fitting for medical data and interpolation.
3Curve fitting for medical data and interpolation.
4Medical signals collection, storage, analysis.
5Medical signals collection, storage, analysis.
6The reliability of information systems
7The reliability of information systems
8Midterm exam
9The research in biomedical engineering such as the disciplines medicine, pharmacology and genetics and the sorftwares used for analysis and MATLAB applications.
10The research in biomedical engineering such as the disciplines medicine, pharmacology and genetics and the sorftwares used for analysis and MATLAB applications
11The research in biomedical engineering such as the disciplines medicine, pharmacology and genetics and the sorftwares used for analysis and MATLAB applications
12Algorithms, data base and simulation development techniques.
13Algorithms, data base and simulation development techniques.
14Algorithms, data base and simulation development techniques.

Resources

1- Course notes