Application requirements for the Interdisciplinary Biomedical Technologies Master's Program are as follows:
a) Students who graduated from the Faculties of Science, Engineering, Medicine, Pharmacy, Dentistry, and Veterinary Medicine of a higher education institution that provides undergraduate education in Turkey (or a higher education institution with YÖK equivalency) can apply.
b) Required License Average: >2.25/4.00
c) Required ALES score: >70 (provided that it has been taken in the last 5 years)
d) Since the program's language is English, the candidates must get at least 60 points from YDS, YÖKDİL, or equivalent language exams. Candidates who do not have the exams to be exempted from the foreign language preparatory class in programs where the medium of instruction is English must take the Foreign Language Exemption Exam conducted by our university.
e) AYBU Graduate School of Natural and Applied Sciences entry requirements are valid for other matters related to the application.
(Graduate Education and Training Regulations Article 6: The master's program with a thesis consists of at least seven courses, a seminar course, and thesis work, provided that they are not less than twenty-one credits in total. The seminar course and thesis work are non-credit and are evaluated as successful or unsuccessful. Master's program with thesis One academic term consists of at least 120 ECTS credits, of which at least eight courses, including the seminar course and thesis work, provided that it is not less than 60 ECTS credits. Article 11: The non-thesis master's program consists of thirty credits and at least ten courses, not less than 60 ECTS, and a term project course).
List of courses offered in this programme is shown below:
Fundamentals of Biomedical Engineering
The course introduces several areas of research found in Biomedical Engineering. Topics include introductory biomechanics, bioinstrumentation systems, circuit elements and concepts, linear network analysis, bio-potentials, biosensors, various imaging techniques, fundamentals of bioinformatics, and molecular engineering. A required class project will help students identify and formulate solutions to a problem found in the biomedical engineering field.
Fundamentals of Biological Sciences and Biotechnology
An introduction to essential principles of biological science. Topics include, but are not limited to, the nature of science and the scientific method, chemistry for biology, biochemistry, cell structure, metabolism reproduction and genetics, gene regulation, organisms, and the theory of evolution. This course is for non-science majors.
Introduction to Bioinformatics and its Biomedical Applications
The main topics that will be presented in this class consist of two subfields: the development of computational tools and databases and the application of these tools and databases in generating biological knowledge to understand better-living systems, the main subject of gen proteomics.
Physiology for Engineers
This course teaches students to apply knowledge of mathematics, science, and engineering to cellular and systems physiology, including function, dysfunction, and the underlying treatment mechanisms. The course also addresses professional and ethical responsibilities associated with the development, testing, and implementation (or withholding) of biomedical devices or treatments.
Nanotechnology for Engineering and Medicine
This course enables students to understand the science of the ``nano`` in physics, engineering, chemistry, biology, and medicine, to acquire a basic understanding of the current state of the development of nanotechnologies. This will be done by giving information about the preparation and characterization techniques of various nanostructures, highlighting the significant applications of nanoscale phenomena and structures in technology and science, leading to an understanding of innovation in the nanotechnology sector, and discussing nanoparticle-related problems and their safety assessment.
Biomaterials and Biocompatibility
This course serves as an engineering introduction to biomaterials and biocompatibility, assuming an already established background in biology and organic chemistry. The first part of the class covers the structure and properties of materials used as biomaterials, including ceramics, metals, synthetic polymers, and natural materials. The structures, chemistry, and surface morphology of these materials and how these factors ultimately define the material's biocompatibility are reviewed. The second part of the course covers host reactions to biomaterials and emphasizes typical clinical applications of biomaterials. The process of material selection for biocompatibility is introduced regarding body responses, including cell and tissue interaction, immunological responses, and toxicity and safety.
Advanced Topics in Analytical Chemistry
This course will present the current research areas in analytical chemistry, comprehend the chemical and physical principles to retrieve chemical information by measurement and data evaluation, and raise awareness for applying an appropriate chemical analysis method to a societal problem. Special topics will include but are not limited to spectroscopy, recent developments in instrumental methods of chemical analysis, surface analysis, electroanalytical techniques, and sensors/biosensors.
Cellular Biology and Biochemistry
The course applies the basic concepts of cellular structures and various cellular phenomena within a cell and among cells within tissues and organs. Therefore, it should allow engineering students to deepen their knowledge of cell biology and structure, fundamental biochemistry of proteins and enzymes, metabolic pathways and biosynthesis of metabolites, molecular biology, genetic coding, and protein synthesis. Thus, students will gain experience solving biomedical problems to integrate the constraints of a biological system better and enable them to communicate with specialists in both fields.
Structure and Function of Biomolecules
This course is designed to provide comprehensive knowledge of the molecular building blocks (nucleic acids, proteins, and lipids), their structures, interactions, properties, origins, and evolution, together with impacts on molecular medicine, at a level suitable for graduate-level students. Additionally, modern and current techniques used in structural and functional analysis of nucleic acids and proteins and protein engineering applications with model cases will be included.
Advanced Topics on Medical Biotechnology
This course provides comprehensive knowledge on gene cloning, the introduction of foreign DNA into bacterial cells, the creation of recombinant DNA molecules composed of DNA from multıple sources, amplification of DNA using PCR techniques, and analysis of nucleic acids (DNA and RNA) and proteins. Information from genomic and proteomic databases (genbank, swiss-prot) will also be covered.
M.Sc Seminar
Seminer dersi için, öğrencinin danışmanı ile birlikte saptayacağı bir konuda seminer hazırlaması, önceden tanımlanan süre içinde uygun bir şekilde sunması ve seminer raporunu da danışmanına teslim etmesi öngörülmüştür.
M.Sc Thesis
Kredili derslerini ve seminer dersini başarı ile tamamlayan öğrencilerin, Anabilim Dalı Başkanlığının önerdiği ve Enstitü Yönetim Kurulunun onayladığı bir konuda ve tez danışmanının sorumluluğunda yaptıkları çalışmadır.
Methods of Applied Mathematics
This course provides graduate students with the advanced analytical methods that will be the bases for their research areas. Course contents include matrices and system of linear equations, eigenvalue problems, ordinary differential equations, series solutions, special functions, partial differential equations: elliptic, parabolic, and hyperbolic equations, separation of variables, Laplace transforms, Fourier transforms, Green's function, perturbation methods.
Advances in Nanocomposite Technology
This course covers nanocomposites, their historical evolution, synthesis methods, advances in their fabrication techniques, and their utilization. Main extent of this course is based on nanocomposites of carbon nanostructures, such as, carbon/polymer-metals and carbon/polymer-metal oxides. Their conventional and novel synthesis procedures are described and their applications in energy and biochemical applications are extensively discussed.
Polymers for Advanced Technologies
This course aims to give fundamental knowledge about polymers used in advanced technologies, their properties, applications and processing techniques. Course content include advanced polymers, their structure and properties, applications and processing of high-technology polymers, high performance polymers and engineering polymers.
Surface Modification Technology
The main objective of this course is to introduce various surface modification methods used in the development and improvement of materials for specific applications. In addition to this, experimental surface characterization techniques as well as some recent & future application trends in the surface engineering field are covered.
Advanced Materials Characterization Techniques
The course will teach the basics in analytical techniques, how to characterize the structures and chemistries of materials, to select the proper characterization techniques to solve problems in research and/or industry. Course content: Analysis of microstructure by x-ray diffraction, Materials characterization by microscopy and optical techniques,Thermal analysis methods, Sample preparation for chosen characterization technique, Microstructure analysis by using characterization result.
Nanofabrication Techniques
The course aims to teach students the techniques to fabricate micro- and nanostructured miniaturized devices (MEMS devices), the material properties for the selection of a particular technique and the multi-dimensional perspective of nanofabrication techniques. Course contents are; Introduction to Nanotechnology, Basic and Advanced Lithography Techniques, Basic and Advanced Deposition Techniques, Bonding Methods, Etching Methods (Dry and Wet etch), Scanning Probe Methods, Molecular Assembly, Techniques developed towards Molecular Machines and Recent Advancements in Nanotechnology.
Fundamentals of Electrochemical Science
This course covers the fundamentals of electrochemical science, starting with an introduction to electrochemistry. The following lectures will cover the essential parameters of an electrochemical cell with a brief explanation of different types of electrolyte solutions and reactions at the electrode surface. Later, electroplating, anodization, corrosion, and electropolishing will be discussed.
Biosensors: Physical and Chemical Properties
This course covers the physical and chemical properties of biosensors wıth explaining their technologies, methods and applications. Course topics includes (but not limited to) biosensor approaches such as electrochemistry, fluorescence, acoustics, and optics; aspects of selective surface chemistry including methods for biomolecule attachment to transducer surfaces; characterization of biosensor performance; blood glucose detection; fluorescent DNA microarrays; label-free biochips; bead-based assay methods. The course covers: surface chemistry and physics of selected surface chemistry materials and polymers in biosensor field usage with surface characterization methodology; modification of biomaterials surfaces.
Optical Sensors
The aim of the course is to learn optical sensors and to get how to apply to practical environment. Course content include Introductory concepts, Sensors and Transducers, Fundamental concepts in optics, Interferometric detection, Plasmon resonance based sensors, Thin films and bulk materials, Magnetic and Thermal sensors, Mechanical structures for sensing, Chemical sensing., Biochemical sensor, Lab-on-chip systems, Fabrication technologies.
Robotics
The aim of the course is to gain the ability to research on robotic area and to provide industrial robot systems. Course content includes evolution of robots, elements of robotic systems, manipulator mathematics, homogeneous transformations, end-effector position and orientation, kinematics, inverse-kinematics, differential changes, task and path planning, manipulator dynamics, robot control, image processing in robotic systems.
Applied Machine Learning
The course aims to to gain ability to have a basic understanding of the general principles of learning,, have an overview of the existing techniques for machine learning and understand how these techniques work, implement programs that learn adaptive behavior, using these techniques, to be up-to-date with the current state of the art in machine learning research, and to be able to contribute to contemporary machine learning research. Course content includes concept of machine learning, general principles of learning, current and future learning systems, development of learning systems, directions and areas within learning systems, evaluation of learning systems, specific learning approaches.
Power Electronics
The goal of the course is to provide supplements of linear and non-linear electric circuits with special emphasis towards power electronic circuits. The main topics addressed in the course regards current and voltage harmonic distortion and powers in non-sinusoidal steady-state, Power diodes and SCRs, single phase and three phases rectifiers, Power electronic switches, emerging component, basics of pulse width modulation (PWM), single-phase and three-phase inverters and others. At the end of the course students master power electronics technologies with a special emphasis towards the biomedical engineering field.
Advanced Mechanics of Materials
This course introduces students to elasticity theory and advanced topics in mechanics of solids, including three-dimensional stress and strain and their transformations, equations of compatibility, continuity and equilibrium, and strain energy methods. Specific design applications in thick-walled cylinders, shrink-fit assemblies, rotating disks, and thermal stresses are also covered.
Numerical Optimization
This course aims to teach numerical optimization methods for science and engineering applications. Course contents include: Optimization and its usage in real-world, Defining a given problem as a cost function, Unconstrained optimization, Conjugate gradient methods, Quasi-Newton methods, Least-squares problems, Constrained optimization and Penalty Methods.
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