About Biomedical Engineering Master's Program

Biomedical engineering is an interdisciplinary engineering field that applies fundamental engineering principles and methods to solve health-related problems using advanced quantitative and analytical techniques.

Biomedical Engineering Master's program is for undergraduate graduates who have received basic engineering education; By specializing in a sub-field of Biomedical Engineering, it aims to gain the ability to produce scientific knowledge and design new products in this field.

Educational Objectives of the Master's Program in Biomedical Engineering 

Able to conduct advanced research and development in a specific field within the scope of Biomedical Engineering,

Able to apply this knowledge gained in the field of specialization,

Taking part in projects in the field of Biomedical Engineering; graduates who can conduct research that can produce conference papers, publications and patents are aimed.

For detailed information, click on the Biomedical Engineering Department Page.

Applications must be made directly to the Graduate School of Natural and Applied Sciences within the dates determined by the institute. Documents related to the educational background requested at the time of application are:

Click for the online application form.
Sertificate of licence
transcript
ALES Score (A minimum of 55 is required) or GRE *(Recommended for foreign students and a minimum GRE of 149 is required.)
English proficiency certificate (at least 66 points for TOEFL, at least 55 points for YDS)
Click for two reference letters. (reference form must be filled)
For other required documents, application dates and necessary forms, see the website of the Graduate School of Natural and Applied Sciences. Candidates can apply online via the Electronic Application System (http://ebs.yeditepe.edu.tr).

    Course Descriptions

BME511 Advanced Magnetic Resonance Imaging Techniques (3+0+0)3+10.

In this course, the principles of the new developments and advances in MR imaging data acquisition and reconstruction strategies that are available in the clinical setting for the diagnosis and follow-up of diseases will be discussed. Diffusion weighted imaging, perfusion weighted imaging, spectroscopic imaging, MR susceptibility weighted imaging, functional MRI, arterial spin labeling, cardiac MR imaging, interventional MRI.

BME512 Medical Imaging Reconstruction (3+0+0)3+10.

Medical image reconstruction provides the radiological images that are used in the clinical setting for diagnosis and follow-up of diseases after the data acquisition, and it is vital to reconstruct the data in accordance with the data acquisition strategy. In this course, magnetic resonance, PET, CT and X-ray data acquisition and reconstruction methods, and the artifacts that might result during data reconstruction and their remedies will be discussed. The laboratory sessions will aim to teach the students how to program the data reconstruction methods. X-ray image reconstruction, CT backprojection, CT fan beam reconstruction, PET 3D filtered back projection, cartesian and non-cartesian MR reconstruction (EPI, spiral, rosette imaging), convolution regridding, density weighting, off-resonance correction algorithms, data reduction and half-Fourier techniques (direct reconstruction, keyhole imaging, homodyne reconstruction, conjugate synthesis, POCS), data reduction in time (UNFOLD, k-t Blast, k-t SENSE), multi-coil reconstructions, parallel imaging techniques (SENSE, SMASH, GRAPPA, GROG), compressend sensing.

BME513 Magnetic Resonance Spectroscopic Imaging (3+0+0)3+10.

In this course, magnetic resonance spectroscopic imaging technique that is widely used in the clinical setting for the diagnosis and follow-up of several diseases, which is also a hot research topic, will be taught. 1H, 13C and 31P NMR spectroscopy, nuclear spin states, nuclear magnetic moment, resonance, chemical environment and chemical shift, shielding, spin-spin splitting, spin-spin coupling, coupling constants, A2 AB AX spin systems, typical 31P, 13C and 1H spectra of chemical compounds, T1 and T2 relaxation, MR spectroscopic imaging, clinical MRS pulse sequences (PRESS, STEAM, ISIS), MR spectroscopic data reconstruction, underlying biochemistry and cellular physiology, clinical MR spectroscopic applications (pediatric, brain, prostate, muscle, cardiac, soft tissue applications).

BME514 Computational Methods in Biomedical Engineering (3+0+0)3+10.

Application of numerical methods to solve biomedical engineering problems. Solving linear systems of equations, model fitting using least squares techniques, data interpolation, numerical integration and differentiation, solving differential equations and data visualization.

BME515 Biomedical Signals and Processing (3+0+0)3+10.

Fundamental of biomedical signals. Signals in time and transform domains. Discretization of signals. Discrete time signals in the transform domain Digital filters and filter design. Processing of signals using digital filters. Optimal filtering. Signal modeling techniques as applied to biomedical signals such as ECG, EMG and EEG.

BME516 Medical Instrument Design (3+0+0)3+10.

General principles of signal acquisition, amplification, processing, recording and display in medical instruments. Design, construction and performance evaluation techniques.

BME517 Rehabilitation Engineering (3+0+0)3+10.

Application of biomedical engineering analysis and design expertise to overcome disabilities and improve quality of life for the handicapped. Exploration of the relationship between engineering innovation, the engineering design process, the human-technology interface, and the physical medicine and rehabilitation medical community. Unmet technological needs and design solutions.

BME518 Medical Informatics(3+0+0)3+10.

An overview of medical informatics. Standards for medical informatics. Computer based health records. Information systems at hospitals covering hospital information system, laboratory information system and PACS. Home health care information systems. Stages in system analysis and design, principles of database systems, medical language, coding and classification systems.

BME530 Micro-Nano Biomaterials For Biomedical Engineering(3+0+0)3+10.

This course reviews the basics of material science, hierarchical biological materials, structure-function relations, biocompatibility and the chemistry of biomaterials. It includes micro-nanoscale materials used in biomedical engineering, including self-assembled protein-based structures and polymers, biomimetic/bio-inspired synthetic materials, carbon nanotubes, shape-memory alloys and super elastic materials, single crystal deposition by cells, bottom-up construction of biomaterials, interfacial adhesion under wet and dry conditions, processing and micro/nanostructure to mechanical, electrical, optical, and magnetic characterization of advanced ceramics, composites and hybrid materials at different length scales, as well as materials used in applications such as regenerative medicine, tissue engineering to cancer therapy.

BME531 Advanced Biomaterials for Imaging and Radiology(3+0+0)3+10.

This course reviews the basics of material science and the biocompatibility and chemistry of biomaterials and radioactivity. The course topics include the basics of nanomaterials, biomaterials used in radiology and imaging, as well as light emitting/detecting and conducting/insulating systems, such as photonic crystals, nanowire heterostructure photodetectors, self-assembled nano-dielectrics, organic light emitting diodes and photovoltaics, transparent conducting thin films, plasmonics, single-molecule electronics. The polymeric biomaterials, proteins and tags used in delivery of radioactive materials, gold nanoparticles, and photonic crystals will be covered.

BME532 Advanced Laboratory Analysis Techniques and Devices(3+0+0)3+10.

This course reviews the basics of biochemical analysis and instruments and biosensors used in detection of various biological compounds associated with various diseases. The course topics include quality assurance and quality control, precision and accuracy of methods used in clinical chemistry, the basics of nanomaterials, biomaterials used in immunological and radioisotope techniques and imaging, fluorimetry, spectrophotometry, chromatography (TLC, GC and HPLC), electrophoresis, coulometry, osmometry, refractometry, atomic emission and absorption, ion selective, oxygen and carbon dioxide electrodes, as well as a general understanding of the interdisciplinary field of lab-on-chip devices, including the different stages of lab-on-a-chip development, such as design, materials (silicon, glass, and polymer), microfabrication, microliquid handling and microliquid handling components, back-end processing, functional integration, and applications in chemistry and medicine.

BTEC550 Methods in Scientific Research (3+0+0)3+10.
Scientific Research Methodology, Elements of Scientific Research, History of Scientific Philosophy, Guidelines for Empirical Research, Steps of Scientific Method - Research, Problem, Hypothesis, Experiment, Results, Discussion and Conclusion, Writing a Research Paper - Guide, Structure of Research Paper , Types of Research Study Design - Experimental, Observational, Qualitative, Quantitative, Opinion-based, Semi-experimental, Descriptive, Correlational Studies, Literature Review and its significance, Data Analysis - Statistical Interpretation of raw data.

BME561 Statistical and Adaptive Digital Signal Processing (3+0+0)3+10.

Fundamentals of discrete time signal processing, random variables, vectors and sequences, discrete random processes, stationary discrete time stochastic processes, analysis of linear systems with stationar random inputs, World decomposition, Yule Walker equations, Innovation Representation of random vectors and Innovation process, signal modeling, AR, MA, ARMA models, optimum filtering problem, principle of orthogonality, solution of normal equations, Linear Prediction, algorithms and structures for optimum linear filters, Wiener filter theory, signal modeling and parametric spectral estimation, Levinson and Schür Algorithms, Lattice Filters, Gram Schmidt orthogonalization, Joint Process estimation, Adaptive filters, Steepest Descent method, LMS adaptation algorithm, Kalman filter theory, application to adaptive filters with stationary and nonstationary inputs, Method of Least Squares, deterministic normal equation, Recursive Least Squares adaptive filters, Recursive Least Squares Lattice Filters.

BME565 Medical Acoustic and Speech Processing (3+0+0)3+10.

Heart sounds, lung sounds, pathological heart and lung sounds, Ear, nose and throat, digital models for the speech signal. Time domain models for speech and sound processing. Digital representations. Short time Fourier analysis. Sub Band coding. Transform coding. Linear predictive coding. Homomorphic speech and sound processing. Delayed decision coding. Performance measurement in digital processing systems. Digital signal processors.

BME590 Research Seminar 0 (0+0+0) 2.

Students could ask upto two technical elective courses from the undergraduate BME curriculum to be counted as the graduate level courses with their advisor’s consent. In addition to coursework, students must prepare a seminar and a thesis as a degree requirement. The seminar and thesis are non-credit requirements and are evaluated on a pass/fail basis. A student who has succesfully completed his/her courses in the first semester may subsequently start work on the thesis under the supervision of his/her advisor.

BME599 Term Project (0+0+0) 0+30.

In addition to coursework, students must prepare a project as a degree requirement. The project is non-credit requirement and evaluated on a pass/fail basis.

BME600 M.Sc. Thesis (0+0+0) 0+60.

In addition to coursework, students must prepare a thesis as a degree requirement. The thesis is non-credit requirement and evaluated on a pass/fail basis.