Course Detail

Course Description Course Outline Course Contribution to Program Qualifications Assessment Methods ECTS-Workload Detail Informations of the Course Numerical Data

Course Description

Course	Code	Semester	T+P (Hour)	Credit	ECTS
DIGITAL TWINS in BIOMEDICAL ENGINEERING	BME4116673	Fall Semester	3+0	3	6

Course Program

Prerequisites Courses
Recommended Elective Courses

Language of Course	English
Course Level	First Cycle (Bachelor's Degree)
Course Type	Elective
Course Coordinator	Assist.Prof. Kevser Banu KÖSE
Name of Lecturer(s)	Assist.Prof. Kevser Banu KÖSE
Assistant(s)
Aim	The aim is to introduce and apply numerical methods of modeling and simulations in biomedical systems. The course aims at giving the main methods of applied physics applications of biomedical dynamic systems. The focus is to study methods and applications that are of relevance in biomedical engineering within diagnostic and therapeutic applications as well as for physiological processes and virtual tests.
Course Content	This course contains; Introduction and general concepts, Overview of the course and, the general insight of modeling and simulation of complex systems,Analogies in Biosystem Modeling and Definition of Multi-Physics Definitions,Partial Differential Equations for Dynamic Systems, Numerical Analysis,Medical Image Analysis, Medikal Görüntü Verisi ile 3B Segmentasyon, Bilgisayar Destekli Tasarım Araçları,ANSYS Design Modeler, ANSYS Meshing Applications,Computational Fluid Dynamics / Nümerical Analysis of Blood Flow,Vascular Device Design, Virtual Operation, and Flow Analysis,Computational Modeling of Musculoskeletal System,Surgical Planning and Simulation, Patient-Specific Implant and Graft Design and Virtual Tests,Applications on Hemodynamic Models,Applications with physiological models,Virtual Device Test Applications,Student Presentations,Student Presentations.

Course Learning Outcomes	Teaching Methods	Assessment Methods

Can visualize biomedical device design and virtual performance tests with numerical methods.	10, 11, 13, 16, 2, 21, 22, 3, 9	R
Outline the concepts used in the modeling of complex biomedical systems.	13, 14, 21, 37
Defines how numerical solutions can be applied to mathematical models that cannot be resolved analytically and the software tools for them	11, 13, 3, 37
Translate a dynamic physiological phenomenon into a mathematical set of equations.	11, 12, 14, 15, 21
Can perform fluid dynamics and structural mechanics analysis in biological systems with the finite element method.	11, 2	E, F, G
Simulate three-dimensional differential equations and boundary value problems with finite element analysis.		D, F

Teaching Methods:	10: Discussion Method, 11: Demonstration Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 15: Role Play and Drama Technique, 16: Question - Answer Technique, 2: Project Based Learning Model, 21: Simulation Technique, 22: Knowledge Map Technique, 3: Problem Baded Learning Model, 37: Computer-Internet Supported Instruction, 9: Lecture Method
Assessment Methods:	D: Oral Exam, E: Homework, F: Project Task, G: Quiz, R: Simulation-Based Evaluation

Course Outline

Order	Subjects	Preliminary Work
1	Introduction and general concepts, Overview of the course and, the general insight of modeling and simulation of complex systems
2	Analogies in Biosystem Modeling and Definition of Multi-Physics Definitions
3	Partial Differential Equations for Dynamic Systems, Numerical Analysis
4	Medical Image Analysis, Medikal Görüntü Verisi ile 3B Segmentasyon, Bilgisayar Destekli Tasarım Araçları	tudents should have 3D Slicer, FreeCAD, MeshMixer and ANSYS Aim software ready on their devices before the lesson
5	ANSYS Design Modeler, ANSYS Meshing Applications
6	Computational Fluid Dynamics / Nümerical Analysis of Blood Flow
7	Vascular Device Design, Virtual Operation, and Flow Analysis
8	Computational Modeling of Musculoskeletal System
9	Surgical Planning and Simulation, Patient-Specific Implant and Graft Design and Virtual Tests
10	Applications on Hemodynamic Models
11	Applications with physiological models	Applications in Lesion Mechanism Models and Comparisons through Data Visualization
12	Virtual Device Test Applications	Students should create a Simscale account and access the software on the web
13	Student Presentations
14	Student Presentations

Resources

1- Finite Element Analysis for Biomedical Engineering Applications - 2019 -CRC Press, Z. C. Yang , 2- Numerical Methods in Biomedical Engineering - Stanley Dunn, Alkis Constantinides, Prabhas V. Moghe -Academic Press Elsevier, 3- Quantitative Human Physiology: An Introduction (Biomedical Engineering) 2nd Edition - Joseph J Feher -Academic Press ElsevierSoftware: ANSYS, Slicer3D, Inobitec, Geomagic, FreeCAD, Simscale, Autodesk MeshMixer, Materialise Mimics Student Editio

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
No	Program Qualification	Contribution Level
No	Program Qualification	1	2	3	4	5
1	An ability to apply knowledge of mathematics, science, and engineering				X
2	An ability to identify, formulate, and solve engineering problems					X
3	An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability					X
4	An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice				X
5	An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice					X
6	An ability to function on multidisciplinary teams			X
7	An ability to communicate effectively	X
8	A recognition of the need for, and an ability to engage in life-long learning		X
9	An understanding of professional and ethical responsibility		X
10	A knowledge of contemporary issues			X
11	The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context					X

Assessment Methods

Contribution Level	Absolute Evaluation
Rate of Midterm Exam to Success		30
Rate of Final Exam to Success		70
Total		100

ECTS / Workload Table
Activities	Number of	Duration(Hour)	Total Workload(Hour)
Course Hours	0	0	0
Guided Problem Solving	0	0	0
Resolution of Homework Problems and Submission as a Report	0	0	0
Term Project	0	0	0
Presentation of Project / Seminar	0	0	0
Quiz	0	0	0
Midterm Exam	0	0	0
General Exam	0	0	0
Performance Task, Maintenance Plan	0	0	0
Total Workload(Hour)			0
*Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30=(0/30)**			0
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course