COURSE UNIT TITLE

: SIGNALS AND SYSTEMS FOR BIOMEDICAL TECHNOLOGIES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BMT 5036 SIGNALS AND SYSTEMS FOR BIOMEDICAL TECHNOLOGIES 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 DOCTOR GÜLAY TOHUMOĞLU

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
1. to give some basic understanding of the nature of common biomedical signals,
2. to apply the essential techniques for analyzing analog and digital biomedical
signals,
3. to analyze linear time invariant systems.
4. to develop computing skills by using MATLAB for signal analysis and system modeling.
5. to explore the application of electronic systems, engineering in medicine,biology.
and biomedical engineering.

Learning Outcomes of the Course Unit

1   apply fundamental knowledge of engineering, mathematics and science
2   use the techniques, skills and modern tools in electrical and biomedical engineering to practice as a biomedical engineer
3   identify, formulate, solve and evaluate engineering problems;
4   function and communicate effectively in multi-disciplinary teams.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Biomedical signals and systems
2 Basic properties of signals and systems and MATLAB instruction
3 Time-domain analysis of linear continuous-time systems
4 Fourier series signal representation
5 Fourier transforms and continuous-time applications
6 Sampling and Discrete-time signal processing
7 Difference Equations and their solutions
8 Midterm Examination
9 Laplace transform properties; inverse Laplace transform
10 Frequency response of linear systems
11 Discrete Fourier Transform
12 Time Frequency and wavelet analysis
13 Model based Analysis of Physiological signals
14 Different Examples and Applications in Biomedical systems

Recomended or Required Reading

Signals and Systems Analysis in Biomedical Engineering, Northrop, R. B.,
CRC Press, 2003, ISBN# 9780849315572
Signals and Systems Analysis in Biomedical Engineering, Devasahayam Suresh R., 2000,
Springer,
ISBN: 978-0-306-46391-4
Signal Processing & Linear Systems. BP Lathi,
Electronics for medical personnel, Edward J Bukstein, Howard W Sams, Last Ed.
ISBN-13: 978-0672209314
Biomedical Device Technology: Principles And Design, Charles C. Thomas Publisher,
2008,ISBN-13: 978-0398077006

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. All class
members are expected to attend the lecture hours and take part in the discussions.
Besides the taught lecture, individual projects are to be prepared by the students and
presented.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 MTE MIDTERM EXAM
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE ASG * 0.30 + MTE * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.30 + MTE * 0.30 + RST * 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

ASSIGNMENT x (%30)+MIDTERM Value x (%30)+FINAL EXAM VALUE x (%40)= MEAN that correspond to MARK
Asiignment covers the mean of the total number of assignments mark and project mark if it is given instead of an assignment.

Language of Instruction

English

Course Policies and Rules

Attendencies to classroom is compulsary with the 70% rate of the lectures

Contact Details for the Lecturer(s)

gulay.tohumoglu@deu.edu.tr

Office Hours

To 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 5 65
Preparation for midterm exam 1 6 6
Preparation for final exam 1 8 8
Preparing assignments 5 6 30
Design Project 1 25 25
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 177

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1345
LO.234
LO.325
LO.445