Can explain for what purpose and to what extent computers are used and the computer programs used in activities related to biomedical engineering fields of study.
Learn and summarize the basic concepts of database management systems.
Can develop computer programs that can be used to solve common problems in the field of Biomedical Engineering.
Have knowledge about user interfaces on computers and can develop graphical user interface in MATLAB environment.
Learn the basic concepts of collecting and storing medical signals and write programs related to them.
Can apply numerical derivative, integration, curve fitting and interpolation in the biomedical field.
Can learn basic information about computer-aided decision support systems and make simple applications.
Makes laboratory applications regarding the information learned in the courses.
Mode of Delivery
Face to face
Prerequisites
Yes(MAT152)
Recommended Optional Programme Components
No
Course Description
In this course; it is explained how the computers are used in biomedical engineering and various applications are made in this field. In this context, design and simulation. program in electronics, some biomedical data structures, data acquisition, management, numerical analyses, visualization methods are thought. Basics of medical image processing, graphical user interface development, decision support systems are also taught and some applications are made.
Course Contents
WEEK
TOPICS
1st Week
Introduction to Programming and Algebraic Calculations
2nd Week
Statistical Analysis Parameters and Distributions
3rd Week
Regression Analysis and Error Propagation
4th Week
Data Filtering
5th Week
Process Control Charts
6th Week
Fourier Transform
7th Week
Nonlinear Equations
8th Week
Midterm Exam
9th Week
Biological Signals
10th Week
Numerical Derivation and Integration
11th Week
Differential Equations and Initial Value Problems
12th Week
Linear Transformations
13th Week
Introduction to Image Analysis
14th Week
Multidimensional Analysis
Recommended or Required Reading
Heys, Jeffrey J. Chemical and biomedical engineering calculations using Python. John Wiley & Sons, 2017.
McKinney, Wes. Python for data analysis: Data wrangling with Pandas, NumPy, and IPython. " O'Reilly Media, Inc.", 2012.
Planned Learning Activities and Teaching Methods
Lecture
Presentation
Problem Solving
Questions/Answers
Experiment
Report Preparation
Assessment Methods and Criteria
Quantity
Percentage (%)
Mid-term
1
30
Assignment
1
5
Quiz
4
10
Practice
1
15
Project
1
5
Total(%)
65
Contribution of In-term Studies to Overall Grade(%)
65
Contribution of Final Examination to Overall Grade(%)
