COURSE UNIT TITLE

: BIOMEDICAL SYSTEMS AND CONTROL

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EED 4406 BIOMEDICAL SYSTEMS AND CONTROL ELECTIVE 4 0 0 6

Offered By

Electrical and Electronics Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR GÜLESER KALAYCI DEMIR

Offered to

Electrical and Electronics Engineering

Course Objective

The primary aims of this course are to examine the techniques employed in control theory, systems analysis, and model identification and to provide students with knowledge about the applications of these techniques in the biomedical systems.

Learning Outcomes of the Course Unit

1   Be able to define the human physiological control systems and biomedical control systems from an engineering perspective
2   Be able to apply the control theory principles to the biomedical systems
3   Be able to understand challenges and solution approaches to different biomedical control systems
4   Be able to design biomedical control systems using PID Controllers
5   Be able to design biomedical control systems using fuzzy logic
6   Be able to simulate biomedical control systems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

EED 3016 - CONTROL SYSTEMS

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Fundamental Concepts , introduction to engineering and physiological control systems, Homoestosis
2 Mathematical modelling
3 Simulation studies on mathematical modelling
4 Time response characteristics
5 Stability + PID Controllers
6 Blood pressure control and simulation studies
7 Midterm
8 Frequency response, time delayed systems
9 Fuzzy control and biomedical applications
10 Fuzzy control and biomedical applications
11 Linear Programming, drug delivery and administration, dosage optimization
12 Medical Robots
13 Robot Kinematics
14 Simulation studies

Recomended or Required Reading


Biomedical Applications of Control Engineering, Selim S. Hazısalihzade, Springer, Berlin, 2013

Cardiovascular and Respiratory Systems: Modeling, Analysis, and Control, Jerry J. Batzel, Franz Kappel, Daniel Schneditz, Hien T. Tran , Frontiers in Applied Mathematics.


Modeling And Control In Biomedical Systems, B.w. Patterson, Elsevier Science Ltd.

Planned Learning Activities and Teaching Methods

A series of lectures on course materials will be given using PowerPoint presentations and blackboard.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.20 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

All the outcomes will be evaluated by examinations and assignments.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Assoc.Prof.Dr. Guleser Kalayci Demir
Dokuz Eylul University
Electrical and Electronics Engineering
Tınaztepe Campus Buca Izmir Turkey
guleser.kalayci@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 4 52
Preparation for final exam 1 10 10
Preparing assignments 1 20 20
Preparation for midterm exam 1 10 10
Preparations before/after weekly lectures 13 4 52
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 148

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.1544
LO.255
LO.35413
LO.4552
LO.5552
LO.644423