Courses

First Year

Fall Semester

Course Code Course Title Local Credit ECTS
BME520 Advance Biostatistics 3 10
BME562 Biomedical Research Methods 3 10
BME5XX Elective I 3 10
Total Credits 9 30

Spring Semester

Course Code Course Title Local Credit ECTS
BME5XX Elective II 3 10
BME5XX Elective III 3 10
BME5XX Elective IV 3 10
Total Credits 9 30

Second Year

Fall Semester

Course Code Course Title Local Credit ECTS
BME5XX Elective V 3 10
BME502 Seminar for Biomedical Engineering 0 10
BME500 Thesis I 0 10
Total Credits 3 30

Spring Semester

Course Code Course Title Local Credit ECTS
BME501 Thesis II 0 30
Total Credits 0 30

BIOMEDICAL ENGINEERING EDUCATION PLAN MASTER PROGRAM (with THESIS)

Course Code Course Title T A C ECTS Compulsory/Elective
BME500 Thesis I 0 0 0 40 Compulsory
BME501 Thesis II 0 0 0 40 Compulsory
BME543 Advance Tissue Engineering 3 0 3 10 Elective
BME507 dvance Biomedical Signal Processing 3 0 3 10 Elective
BME505 Advance Image Processing 3 0 3 10 Elective
BME503 Advance Bioformatics 3 0 3 10 Elective
BME510 Biomaterials for Medical Diagnosis and Therapy 3 0 3 10 Elective
BME512 Advance Artifical Organs 3 0 3 10 Elective
BME502 Biomedical Seminars 0 0 0 10 Compulsory
BME504 Advance Biomechanics 3 0 3 10 Elective
BME580 Advance Artificial Neural Networks 3 0 3 10 Elective
BME590 Modelling of Complex Biological Systems 3 0 3 10 Elective
BME511 Magnetic Resonance Imaging 3 0 3 10 Elective
BME520 Advance Biostatistics 3 0 3 10 Compulsory
BME570 Advance Electromagnetic & Medical Applications 3 0 3 10 Elective
BME518 Ultrasound Imaging and Doppler Techniques 3 0 3 10 Elective
BME555 Biomedical Micro and Nano Systems 3 0 3 10 Elective
BME532 Pattern Recognition 3 0 3 10 Elective
BME560 Advance Biomechanical Cardiovascular Systems 3 0 3 10 Elective
BME562 Biomedical Reserach Methods 3 0 3 10 Compulsory
MAT501 Advanced and Applied Mathematics 3 0 3 10 Elective
BME536 Machine Vision 3 0 3 10 Elective
BME506 Information Theory & Coding 3 0 3 10 Elective
BME533 Physics in Nuclear Medicine 3 0 3 10 Elective
BME534 Advance Microprocessor 3 0 3 10 Elective
BME504 Mathematical and Computational Methods in Biomechanics of Human Skeletal System 3 0 3 10 Elective

 

Description of Master Courses

BME543 – Advance Tissue Engineering
The course will cover the application of engineering principles, combined with molecular cell biology, to develop fundamental understanding of property function relationships in tissues. Exploitation of the understanding to manipulate cell and tissue properties rationally to alter, restore, maintain, or improve cell and tissue functions as well as to design bioartificial tissue substitutes.

BME507 – Advance Biomedical Signal-Image Processing
This course is designed for biomedical engineering master students. The purpose of the course is to provide biomedical signal and image processing background on technical aspects. Fundamentals of digital signal-image processing, signal-image conditioning, frequency analysis, digital filtering methods, feature extraction methods, classification methods and applications on EEG – ECG signals and CT-MRI images are introduced in detail. Students are provided with overviews of the major techniques that engineers have used to explore in biomedical engineering level.

BME505 – Advance Image Processing
Introduction to medical imaging and various medical, imaging systems. Nuclear magnetic moment, nuclear spin, resonance, connector constants, spin systems, MR spectroscopic data processing. Application of MR spectroscopy on brain, muscles, tissue and etc.

BME503 – Advance Bioinformatics
This course is graduate level bioinformatics course, which emphasizes as a basis for understanding bioinformatics and their applications. The course focuses on a general introduction to the uses of biological databases in the generating biological knowledge to better understand living systems, for purposes of aiding healing of diseases. Topics include Genomic Era, the anatomy of genome, probabilistic models of genome sequences, biological databases, sequence alignment, gene and promoter prediction, molecular phylogenetics, post-genomic epidemic, structural bioinformatics and proteomics. This course covers the fundamental concepts molecular biology, database management systems, and probabilistic models.

BME510 – Biomaterials for Medical Diagnosis and Therapy
This course highlights the capabilities of biomaterials and devices for patient diagnostics and therapy. It is broken down into four major areas: in vitro and in vivo diagnostics (optical, electrical, mechanical), nanotechnology-enhanced analytical tools and techniques for diagnostics, and the future for patient diagnostics.

BME512 – Advance Artificial Organs
Medical devices that replace the function of one of the major organs in the body must usually interface with flowing blood. Examples include total artificial hearts, left ventricular assist devices, membrane oxygenators, hemodialysis systems and encapsulated endocrine cells. The design of these devices relies on integration of knowledge from a variety of fields, in particular computational fluid dynamics and blood rheology. We will study the process by which a concept for a device eventually leads to a functioning, blood-contacting medical device. An introduction to computational fluid dynamics (the finite difference and finite volume methods) will be integrated with computer-aided design and testing of devices using the software package Fluent.

BME580 – Advance Artificial Neural Networks
This course explores the organization of synaptic connectivity as the basis of neural computation and learning. Perceptrons and dynamical theories of recurrent networks including amplifiers, attractors, and hybrid computation are covered. Additional topics include backpropagation and Hebbian learning, as well as models of perception, motor control, memory, and neural development.

BME590 – Modelling of Complex Biological Systems
This course introduces the current approaches for mathematical modelling and analysis of biological systems using both computer simulation and mathematical techniques. The course reviews the basic of modelling methodology, stochastic and deterministic models, numerical and analytical methods, and model validation. Examples throughout the course are drawn from population dynamics, biochemical networks, ecological models, neuronal modelling, and physiological systems.

BME511 – Magnetic Resonance Imaging
This course is designed for biomedical engineering master students. The purpose of the course is to provide detailed information on technical aspects of magnetic resonance imaging. Biomedical diagnostic magnetic resonance imaging systems and the physical principles of nuclear magnetic resonance imaging are introduced in detail. Students are provided with overviews of the major physical techniques that engineers have used to explore in biomedical engineering level.

BME570 – Advanced Electromagnetic and Medical Applications
Coulomb’s Law, Electric Field Intensity, Electric Potential, The Field Outside an Electrically Charged Body, Gauss Law, Poisson’s Equation, Laplace’s Equation, Conductors, Calculation of the Electric Field Produced by A Simple Cahrge Distribution, Electric Dipole, The Linear Electric Quadrupole, Electric Field Outside An Arbitrary Charge Distribution, Ptential Energy of A Charge Distribution, Energy Density in an Electric Field, Forces on Conductors, Dielectric Materials, Electric Polarization, Electric Field at an Exterior Point, The Bound Charge Densities, Electric Field at an Interior Point, The Electric Susceptibility, Divergence of E and the Dielectric Displacement D, Relative Permittivity, Calculation of Electric Fields Involving Dielectrics, Frequency Dependence, Anisotropy and Nonhomogeneity, Potential Energy of a Charge Distribution in the Presence of Dielectrics, General Methods for Solving Laplace’s and Poisson’s Equations, Continuity of V, D,E, at the Interface Between Two Dielectric Media, Normal Component of the Electric Displacement, Tangential Component of the Electric Field Intensity, Bending of Lines of Force, The Uniqueness Theorem, Images, Point Charge Near an Infinite Grounded Conducting Plane, Solution of Laplace’s Equation in Rectangular Coordinates, Solution of Laplace’s Equation in Spherical Coordinates, Solution of Poisson’s Equation for E, Magnetic Forces, The Magnetic Induction B, The Biot Savart Law, The Force on a Point Charge Moving in a Magnetic Field, The Divergence of the Magnetic Induction B, The Vector Potential A, The Line Integral of the A over a Closed Curve, The Curl of B, Ampere’s Circuital Law, Magnetic Dipole, Faraday Induction Law, Faraday Induction Law in Differential Form, Induced Electric Field Intensity in Terms of the Vector Potential A, Energy Stored in a Magnetic Field, Magnetic Energy in terms of B, Magnetic Energy in terms of J and A, Magnetic Energy in terms of I and Φ, Magnetic Field Intenisty H, Ampere’s Circuit Law, The Equivalent Current Density and J, Boundary Conditions, Maxwell Equations, Maxwell Equations in Integral Form, Nonhomogeneous Wave Equations for E and B, Plane Electromagnetic Waves in Free Space, Poynting Vector, The E, H Vectors in Homogeneous, Isotropic, Linear and Stationary Media, Propagation of Plane Electromagnetic Waves in Nonconductors, Propagation of Plane Electromagnetic Waves in Conducting Media, Propagation of Plane Electromagnetic Waves in Good Conductor Media, Reflection and Refraction, The Laws of Reflection and Snell’s Law of Refraction, Fresnel’s Equations, Refelction and Refraction at the Interface Between Two Nonmagnetic Nonconductors, Guided Waves, Radiation of the Electromagnetic Waves, The Vector Potential A and H, The Electric Field Intensity E, Radiation From a Half-Wave Antenna

BME518 – Ultrasound Imaging and Doppler Techniques
The course is designed for biomedical engineering master students. The purpose of the course is to provide detailed information on technical aspects of ultrasound imaging. Biomedical diagnostic ultrasound imaging systems and the physical principles of Ultrasound and Doppler techniques are introduced in detail. Students are provided with overviews of the major physical techniques that engineers have used to explore in biomedical engineering level.

BME555 – Biomedical Micro and Nano Systems
The course defines the understanding of biomedical micro and nano systems manufacturing techniques. Design, fabrication and operation issues in applications of micro-total analysis systems, drug delivery systems, devices and instrumentation for diagnosis and treatment of human disease will be presented.

BME532 – Pattern Recognition
This course is designed for biomedical engineering master students. Purpose of this course is to provide pattern recognition and classification techniques. Different event detection, feature extraction and classification methods are introduced in detail. Students are provided with overviews of the major techniques that engineers have used to explore in biomedical engineering level.

BME560 – Advance Biomechanical Cardiovascular Systems
Introduction and basic concepts of biomechanics, Dynamics of mechanics, Materials properties of Hard and soft tissues, and mechanical properties, Biomechanical behaviors, Materials for prosthesis and mechanical properties, Applications and behaviors of human body, Biomechanical systems and examples.

BME562 – Biomedical Research Methods
The course defines the understanding of science and engineering and describes the links between the interrelated technical subjects. Further, it considers the methods of scientific research and focuses on the five methods mostly widely used for natural sciences and engineering, giving much emphasis on experimental and field studies research methods. It also stresses the importance of integrated research methods. It stresses the important aspects of writing research proposal, presenting and report (thesis) writing. Finally, it provides some information on research ethics and on resolving controversies in research.

MAT501- Advanced and Applied Mathematics
This course aims to review of vector analysis, complex numbers, review of ordinary differential equations, variation of parameters and Cauchy-Euler differential equations, system of linear differential equations. Laplace Transforms and fourier series, beta gamma functions, bessel2s functions and partial differential equations.

BME506 – Information Theory and Coding
This course covers intermediate to advanced information theory and channel coding topics. Topics covered include fundamentals of channel coding as well as powerful error-correcting codes such as low-density parity-check codes and turbo codes.