The MSBME program accepts students from different undergraduate disciplines to be admitted to this program. As such, in order to provide the best learning experience to the graduate students regardless of their undergraduate background, the program is designed to help the student bridge the gap between their background and the MSBME program.
As a first step, the program provides 2 remedial courses based on the admitted student's bachelor's background. The remedial courses are chosen such that all students are prepared for the graduate core courses offered by the program. The graduate student is required to take the remedial courses in the first semester such that by the second semester all graduate students have the core-based information and background that qualifies them to continue towards the graduate core courses offered by the program. An example for such case, a student with B.Sc. in Medicine, Dentistry, or Health Sciences has enough biological background to continue forward with some MSBME courses; however, they fall short in the mathematical background from an engineering point of view. Therefore, they are required to successfully finish two remedial courses, "Differential Equations for Engineers" and "Mathematics for Engineers". The opposite goes for students with engineering background, where they fall short in biological background. Hence, they are required two remedial courses, "Human Anatomy and Physiology", and "Cell Biology". The same goes for students with science or pharmaceutical background, the MSBME program specifies to students their required remedial courses. Once the remedial courses are taken, all students are allowed to register for the graduate core courses.
It is advised that during the first year, students do not take any track electives till remedial and core courses are successfully passed.
Another issue that may raise a concern for graduate students from different bachelor's disciplines is the choice of elective courses from the 5 different tracks given in Fig. 5. The five tracks offered are:
1- Bioelectronics and Instrumentation, 2- Biomedical Systems and Feedback Control, 3- Applied Computational Bioengineering, 4- Biomedical Physics and Imaging, 5-Biomaterials, Cellular and Tissue Engineering. Each track has a list of corresponding electives that are offered.
Students are advised to check the course description and if it has, any pre-requisite courses required. If an elective course has pre-requisite courses listed before taking the graduate elective course,
students wishing to take the course must prove they have the pre-requisite course taken during their bachelor's degree, or an equivalent course that qualifies them for the graduate elective
course.Before registering for an elective course, students are advised to talk to their supervisor, and the course instructor to check for any pre-requirement of the elective course. For example, a student interested in taking "Biomedical Image Processing" needs to check the pre-requisites which are "Signals and Systems", and "Programming I". Students from electrical and computer engineering background have taken the pre-requisites during their bachelor's, so they can directly register for the course "Biomedical Image Processing".
However, students from science, medicine, or others, most likely did not take either course during undergraduate. Therefore, they are requested to check with course instructor to check if any equivalent courses were taken during undergraduate studies, or if they are required to take one or both courses before registering the elective.
For this, students are allowed to attend the undergraduate courses offered at the university with the recommendation of the course instructor, track co-coordinator and the program principle coordinator. On this note, the completion of the program will take more than 2 years considering the need for any remedial courses for chosen track/elective courses.
The need for extra remedial courses will be faced by students desiring to divert from their bachelor's background, an engineer interested more in the biomaterial, cellular, and tissue engineering, or a pharmacist interested in the electronics behind biomedical research will require to build his knowledge in electronics and instrumentation before taking certain track electives.
Overall, the graduate students are highly advised to refer to their academic advisor and track coordinators before taking decisions on registering for elective courses for guidance.
Program Objectives
The M.Sc. in BME program is designed to achieve the following goals:
- Identify and analyze potential problems in biomedical engineering.
- Formulate structured solutions for biomedical engineering present and anticipated problems.
- Implement solutions effectively in various domains in biomedical engineering and/or interrelated areas of industry, research, and clinical practice.
- Promote advanced scientific research and scholarly activities that facilitate progression to higher academic degrees.
- Prepare qualified future leaders in biomedical engineering field
-
Program Learning outcomes
Upon the successful completion of the MSc. in Biomedical Engineering program the student will be able to:
- Apply advanced theories and methodologies in the field of Biomedical Engineering.
- Design and conduct experiments/simulations for biomedical research.
- Communicate effectively in oral and written form to present complex and diverse Biomedical Engineering problems and solutions to professional audiences.
- Value the principles of professional ethics issues and develop fair and valid judgments in contemporary contexts.
- Function on multidisciplinary teams with management and leadership capabilities.
- Propose advanced Biomedical Engineering solutions with sustainability factors in global, economic, environmental, and societal context.
- Use advanced biomedical engineering tools to analyze and interpret data.
Admission Requirements
- The student must hold a bachelor's degree or equivalent from a recognized university with a CGPA of 3.00 out of 4.00. Students with a CGPA between 2.5 and 2.99 may be admitted conditionally.
- The degree must be in a major that qualifies the student to study the master's program.
- Students in programs taught in English must obtain 550 on the TOEFL (PBT) (should be taken inside the university), 79 on the TOEFL (IBT) (outside the university) or 6 on IELTS (Academic).
- Attachment of ‘no objection certificate’ from the authorities responsible for national service for male Emirati students.
- Attachment of a letter of study approval from Kuwait Embassy Cultural Office for Kuwaiti students only.
- Attachment of People of Determination card (if applicable).
- In case the student works in a certain place, please attach a letter from the employer stating that the student is working for this agency.
Program Structure
Requirement
|
Credit Hours |
| Compulsory (Core) Courses |
12 |
| Elective Courses |
12 |
| Thesis |
9 |
| Total Credit Hours |
33 |
Program Tracks
| Bioelectronics and Instrumentation |
| Biomedical Systems and Feedback Control |
| Applied Computational Bioengineering |
| Biomedical Physics and Imaging |
| Biomaterials, Cellular, and Tissue Engineering |
Study Plan: Course ListCompulsory (Core) Courses (12 credit hours)
| # |
Course # |
Course Name |
Credit Hours |
College/Dept. |
| 1. |
1440515 |
Mathematical Methods for Bioengineering |
3 |
Math |
| 2. |
0402580
|
Introduction to Biomedical Engineering |
3 |
All |
| 3. |
0402501 |
Engineering Research Methodology |
3 |
All |
| 4. |
0502500 |
Hospital Labs Rotation |
2 |
Medicine |
| 5. |
0402582 |
Graduate Seminar |
1 |
EE |
Elective Courses (12 credit hours)Table 3 summarizes the list of elective courses offered under each track. Students are free to choose the track most suitable to their interest, and with the guidance of their supervisor.
"R = Recommended" and "O = Optional"
|
Course Name |
Credit Hours |
Priority |
College/Dept. |
|
Bioelectronics and Instrumentation |
| Biomedical Sensors and Instrumentation |
3 |
R |
EE |
| Implantable Biomedical Microsystems |
3 |
O |
EE |
| Mixed Analog-Digital IC Design |
3 |
R |
EE |
| Advanced Signal Processing for Biomedical Engineering |
3 |
O |
EE |
|
Biomedical Nanotechnology |
3 |
O |
EE/ Chem |
| Biomedical Systems and Feedback Control |
| Measurement and Instrumentation in Physiology and Medicine |
3 |
R |
MD/HS |
| Advanced Signal Processing for Biomedical Engineering |
3 |
R |
EE |
| Modelling in Physiology and Medicine |
3 |
O |
MD/CS |
| Linear and Non-Linear Multivariable Control System |
3 |
O |
EE/MD |
| Human-Machine Interaction |
3 |
O |
MD |
| Robotics and Dynamics control in Biomedicine |
3 |
O |
EE/MD |
| Neural Networks and Biomedical Applications |
3 |
O |
EE/MD |
| Robust Feedback Control |
3 |
O |
EE |
| Biomedical Image Processing |
3 |
O |
EE/MD/HS |
|
Applied Computational Bioengineering |
| Statistics, Data Analysis and Algorithms in Genomic Biology |
3 |
R |
CS/MD |
| Applied Parallel Programming for Bioengineering |
3 |
O |
EE/CS/MD |
| Introduction to System Biology Modelling |
3 |
O |
CS/MD |
| Bioinformatics Networks |
3 |
O |
CS/MD |
| Machine Learning |
3 |
O |
CS/MD |
| Data Mining |
3 |
O |
CS/MD |
| Neural Networks and Biomedical Applications |
3 |
O |
EE/ MD |
|
Biomedical Physics and Imaging |
| Medical Imaging and Instrumentation |
3 |
R |
HS/Phy |
| Biomedical Image Processing |
3 |
R |
EE/MD/HS |
| Molecular Imaging Application |
3 |
O |
MD/HS |
| Modelling in Physiology and Medicine |
3 |
O |
MD/CS/HS |
| Biomedical photonic |
3 |
O |
MD/Phy/Pharm |
| Radiation Measurements and Instrumentation |
3 |
O |
NE/HS/Phy |
| Advanced Radiobiology and Radiation Protection |
3 (2+1) |
O |
HS/Phy/NE |
| Biophysics |
3 |
O |
HS/MD |
| Principles of Tissue Engineering and Gene Therapy |
3 |
O |
MD/Biotech |
|
Biomaterials, Cellular, and Tissue Engineering |
| Principles of Tissue Engineering and Gene Therapy |
3 |
R |
MD/Biotech |
| Advanced Cell Biology |
3 |
R |
Biotech |
| Bioinformatics Networks |
3 |
O |
CS/MD/Biotech |
| Biomaterials for Medical Applications |
3 |
O |
CH/ ME |
| Cellular and Molecular Neuroscience |
3 |
O |
MD |
| Novel Drug Delivery Systems |
3 |
O |
Pharm |
| Stem Cell Biology and Engineering |
3 |
O |
Biotech |
|
General Electives |
| Independent Studies in Biomedical Engineering |
3 |
O |
ALL |
| Selected Topics in Biomedical Engineering |
3 |
O |
ALL |
| Commercialization of Biomedical Innovation |
3 |
O |
ALL |
| Healthcare Operation, Planning, and Risk Management |
3 |
O |
ALL |
Thesis (9 credit hours)Students to enroll in the proposed program will have to prepare an extensive graduation report based on actual research work conducted at the research labs of faculty supervising the student or fieldwork under the supervision of a faculty members involved with the program. The report will account for (be equivalent to) nine credit hours of the program and will have to be enrolled in during the fourth semester of the study program.
Remedial CoursesAs a first step, the program provides two remedial courses based on the admitted student's bachelor's background as shown in Table 6. The remedial courses are chosen such that all students are prepared for the graduate core courses offered by the program. It is advised that during the first year, students do not take any track electives till remedial and core courses are successfully passed.
Table 6: Remedial courses list for different undergraduate disciplines joining the M.Sc. in Biomedical Engineering Program
|
Course No. |
Course Name |
Credit Hours (CH) |
College/Dept. |
|
Bachelor's Degree in Engineering or Science (except Biotechnology) |
0901720
|
Human Anatomy and Physiology |
2+1 |
Medicine |
| 1450251 |
Cell Biology |
3 |
Biotechnology |
|
Bachelor's Degree in biotechnology |
0901720
|
Human Anatomy and Physiology |
2+1 |
Medicine |
| 1440262 |
Mathematics for Engineers
|
3 |
Math |
Bachelor's Degree in medicine, Dental Medicine, or Health Science
|
| 1440261 |
Differential Equations for Engineers
|
3 |
Math |
| 1440262 |
Mathematics for Engineers |
3 |
Math |
|
Bachelor's Degree in pharmacy |
| 1440262 |
Mathematics for Engineers |
3 |
Math |
| 1450251 |
Cell Biology |
3 |
Biotechnology |
Course Description
| 0402580 |
Introduction to Biomedical Engineering |
3 Credit Hours |
This course serves as an introduction to and overview of the field and areas of biomedical engineering. The biomedical engineering areas such as bioelectric phenomena, bioinformatics, biomaterials, biomechanics, bioinstrumentation, biosensors, biosignal processing, biotechnology, computational biology and complexity, genomics, medical imaging, optics and lasers, radiation imaging, tissue engineering, and moral and ethical issues will be covered in this course. Historical perspective of the major developments in a specific biomedical engineering domain as well as the fundamental principles that underlie biomedical engineering design, analysis, and modeling procedures in that domain are also included. In addition, examples of some of the problems encountered, as well as the techniques used to solve them, are provided.
|
| 1440515 |
Mathematical Methods for Bioengineering |
3 Credit Hours |
| The course offers mathematical methods for solving application problems in biomedical engineering, including computational techniques centered at many aspects of systems biology and bioengineering research. Mathematical concepts related to modelling of physiological & bio-molecular process are considered. It will cover the fundamental technique to Ordinary Differential Equations (ODE) using Laplace transformation, Fourier series, integrals, and solve Partial Differential Equations (PDE) including Bessel function, Legendre polynomials, and introduce complex analysis. Theory of supervised and unsupervised learning, Monte Carlo computation, analysis of gene expression data and genome sequence data. The course will also cover classical equations for mathematical physics: heat equations, wave equations, and potential equations. Representation and analysis of bio-signals, biological fluid mechanics, pharmacokinetics and mathematical diffusion will be covered as well. Numerical solving will be based on the use of MATLAB. |
| 0402501 |
Engineering Research Methodology |
3 Credit Hours |
| Students learn how to apply the engineering research process and methods of inquiry to solve engineering problems. Literature survey for research work, building expertise in the areas of interest, this involves critiquing current research work. Basic principles of experimental designs; analyze and evaluate the results. Evaluate the quality of the results and limitations. They will also learn how to communicate findings in specific engineering formats to specialist audiences. Students will learn basic project management and teamwork skills in addition to research ethics. Course project will allow the students to apply research methodology components on research problems of their choice. Students, possibly in small teams, are expected to present and defend their research proposals. |
0502500
|
Hospital Lab Rotation |
2 Credit Hours |
| Masters students in Biomedical Engineering are required to take lab rotations at the University Hospital Sharjah (UHS). This non-credit course will introduce the students to biomedical equipment and tools used in various clinical departments. For example, the students will rotate in the anesthesia and surgical department, interventional and stress-test cardiovascular procedures labs, orthopedic and physical rehabilitation facilities, radiology department, medical diagnostic labs, and central hospital laboratory. |
| 0402582 |
Graduate Seminar |
1 Credit Hours |
| Students are required to attend seminars given by faculty members, visitors, and fellow graduate students. Each student is also required to present a seminar outlying the research topic of the master thesis. |
| 0402600 |
Master Thesis |
9 Credit Hours |
| The student has to undertake and complete research topic under the supervision of a faculty member. The thesis work should provide the student with an in-depth understanding of a research problem in Biomedical Engineering. It is expected that the student, under the guidance of the supervisor, will be able to conduct research somewhat independently, and may also be able to provide solution to that problem. |
| 0402583 |
Biomedical Sensors and Instrumentation |
3 Credit Hours |
| This course will identify basic principles involved in biomedical sensors instrumentation, mechanisms of different sensors, their classification, regulation and ethical use. Biosensors principles, types and properties, performance factors in biosensors, enzymatic biosensors etc. Development of an understanding of the measurement principles of medical instrumentation, including noise-filtering instrumentation amplifier, computer control, sampling, data collection of bioelectrical signals (ECG, EEG, EMG), measurement of respiratory function, cardiac variables, blood pressure, and blood flow. This knowledge will be applied to solve real world problems of medical device development, troubleshooting, and the identification of ethical principles in the use of medical sensors in patient care. |
| 0402584 |
Implantable Biomedical Microsystems |
3 Credit Hours |
| A general overview on the multi-disciplinary field of implantable biomedical microsystems is introduced in the course. The material to be covered comprises extensive contents and in-depth discussions on both system- and circuit-level aspects of the design of implantable microsystems. This includes wireless interfacing, microelectrode array fabrication, and circuit design for implantable neural recording microsystems. Different design aspects of neural stimulation microsystems, cochlear implants, and visual prostheses are also reviewed briefly. Key issues of biomaterial/tissue interactions such as foreign body response and biocompatibility and biocompatibility assessment are covered. Issues concerned with design for implantability and envisions for testability are also dealt with. |
| 0402585 |
Mixed Analog-Digital IC Design |
3 Credit Hours |
| This course will provides a solid understanding and an overview of analog and mixed-signal integrated circuit analysis, design, simulation, and layout consideration for Low frequency applications. Examination of Gilbert multipliers; operational amplifiers; frequency compensation techniques; advanced biasing techniques; voltage references; and mixed-signal systems such as compactors and data converters including analog-to-digital converters (ADC) and digital-to-analog converters (DAC). Students will learn transistor-level design of analog and digital circuits, layout techniques for analog and digital circuit modules, and special physical considerations that arise in a mixed-signal integrated circuit. Students will design a custom mixed-signal integrated circuit over the semester in the course project that will be submitted at the end of the semester. |
| 0402586 |
Advanced Signal Processing for Biomedical Engineering |
3 Credit Hours |
| Introduction to advanced concepts in biomedical signal processing that go beyond the conventional analysis of linear, stationary, normal signals. Allow students to develop computational algorithms for analysis of clinically relevant physiological signals. Identifying modern signal processing tools used to analyze major physiological signals in order to investigate the generation, the form, the dynamics and the information content of the signals; and draw diagnostics/prognostic conclusions, based on quality signal processing, about the normality and abnormality of the organ systems. |
| 0408500 |
Biomedical Nanotechnology |
3 Credit Hours |
| Students are introduced to the biomedical applications of nanoparticles and nanopatterned surfaces. Examining the use of inorganic (metallic and metal oxide) and organic (carbon-nanotubes and liposomes) nanoparticles and nanopatterned flat surfaces in diagnosis, biosensing and bioimaging devices, drug delivery systems, and bone-substituting implants. And the study of surface effects emerging from nanostructured materials. |
| 0901721 |
Measurement and Instrumentation in Physiology and Medicine |
3 Credit Hours |
| To provide an understanding of the principles of measurement in physiology and medicine and the use of instrumentation in clinical setting. The course will introduce the principles of physiological measurement, measurement and instrumentation for diagnosis and management, maintenance of homeostasis and inter-relationship between variables. The course will focus on various measurements such as, pressure and flow, respiratory and cardiovascular instrumentation, biopotential signals (EEG, ECG, EMG) , blood gas analysis, instrumentation for critical care, imaging modalities (x-ray, ultrasonic, CT, PET, MRI), therapeutic instrumentation, microscopy, and ambulatory monitoring. |
0900719
|
Modelling in Physiology and Medicine |
3 Credit Hours |
The course provides the basic methods of formulating differential equations for lumped parameter non-linear biomedical systems. This course will provide an understanding of mathematical modelling methodology and the range of modelling modalities relevant to applications in physiology and medicine. The course will start with an overview of modelling methodology and modelling modalities (including statistical, mathematical, logical and graphical forms). It will then introduce approaches to mathematical modelling in physiology and medicine for continuous and discrete systems as well as address problems of system sensitivity and model reduction. The final part will include model identification, identifiability analysis, parameter estimation and model validation.
|
| 0402587 |
Linear and Non-Linear Multivariable Control System |
3 Credit Hours |
This course provides an introduction to linear nonlinear multivariable deterministic dynamical systems. Topics covered include: modeling of Linear systems using differential equation, transfer function and state space model; stability of linear feedback systems; linear control; linearization of linear systems;
feedback linearization; Lyapunov stability analysis; sliding mode control; canonical form of multivariable systems; Nonlinear multivariable control systems; Absolute stability of nonlinear MIMO systems. |
| 1411536 |
Human-Machine Interaction |
3 Credit Hours |
| The interaction between human and machine is addressed in this course, highlighting the importance of facilitating such interaction. The course will introduce how desktop applications, internet browsers, handheld instruments, and computer kiosks make use of the prevalent graphical user interfaces (GUI). Also, how Voice User Interfaces (VUI) are used for speech recognition and synthesizing systems. The concept of multimodality and intelligent adaptive interfaces rather than command/action-based ones, and active rather than passive interfaces will be introduced. Description and application of core theories, models and methodologies in the field of Human Machine Interaction will be presented with implementation of simple GUI using different tools. |
| 0402588 |
Robotics and Dynamics control in Biomedicine |
3 Credit Hours |
| The primary goal of this course is to acquaint the students with the fundamentals of robot design and control and different areas of research that lead to the development of medical robotic systems. Focus is on robotic-arm with introduction to other healthcare robots. Topics include an overview of a healthcare robotic systems, exoskeleton, serial manipulator, forward kinematic, inverse kinematics, Jacobian and forward velocity kinematics, inverse velocity kinematics, motion control and trajectory design. |
| 0402589 |
Neural Networks and Biomedical Applications |
3 Credit Hours |
| The course will introduce the basic mathematical concepts for understanding nonlinearity and feedback in neural networks, with examples drawn from both neurobiology and computer science. The course will focus on recurrent feedback loops as they dominate the synaptic connectivity of the brain. The course will introduce basic neuron models such as McCulloch-Pitts model, and radial basis function model; basic neural network models including multilayer perceptron, radial basis function based multilayer perceptron and neural network decision trees; basic learning algorithms including the delta learning rule, the back-propagation algorithm and self-organization learning; and applications including pattern recognition, function approximation and information visualization. |
| 0402630 |
Robust Feedback Control |
3 Credit Hours |
| Introduces the elements and concept of robust feedback control theory of biomedical system behavior that varies considerably in normal operation. The course will cover norms of signals and systems, nominal stability and performance of feedback biomedical systems, structured and unstructured uncertainty, performance limitations, model uncertainty and robustness in biomedical engineering, parametrization of stabilizing controllers, linear fractional transformation and sensitivity minimization problem, H-infinity robust control technique. Some simulation case studies of H-infinity control technique will be presented to show the efficacy and importance of robust control in biomedical engineering systems. |
| 0402594 |
Biomedical Image Processing |
3 Credit Hours |
| Basic concepts in the field of imaging and image processing including 2D representation of 3D world. Introduction to image acquisition will include how images are generated such as the use of solid state arrays and laser scanners. The effect of practical aspects including resolution and image size on the performance and utility. Digital image representation, sampling and quantization are also introduced. This will be followed by techniques for improving image quality such as restoration, geometric correction and enhancement such as the use of degradation models. Some of the image processing techniques to be covered are, compression and coding of images, image segmentation technique, image measurements, color image processing, and introduction to computer vision. |
| 1440516 |
Statistics, Data Analysis and Algorithms in Genomic Biology |
3 Credit Hours |
| This course will provide the students with the main statistical and computational modelling tools for analyzing experiments involving genomic data obtained from genomics (DNA), transcriptomics (RNA), epigenetics (methylated DNA) and metabolomics. Fundamentals of probability and statistics such as linear modeling, statistical inference, multiple testing, sample size calculation and experimental design are covered. Special emphasis will be given to the statistical analysis of large-scale genomic experiments. The statistical package libraries such as STATS and non-linear statistical package MASS within R programming environment will be used but no prior computing experience is assumed. |
| 0402593 |
Applied Parallel Programming for Bioengineering |
3 Credit Hours |
Introducing fundamental issues in design and development of parallel programs for various types of parallel computers. The course will cover various programming models including linear programming based on SSR (Sequence Selection and Repetition) according to both machine type and application area. Cost models, debugging, and performance evaluation of parallel programs with actual application examples. Parallel programming with emphasis on developing applications for processors with many computation cores. Computational thinking, forms of parallelism, programming models, mapping computations to parallel hardware, efficient data structures, paradigms for efficient parallel algorithms, and application case studies from the bioengineering High-Performance Application field.
|
| 0900720 |
Introduction to System Biology Modelling |
3 Credit Hours |
| The goal of this course is to highlight elementary design principles inherent in biology. Many of the underlying principles governing biochemical reactions in a living cell can be related to network circuit motifs with multiple inputs/outputs, feedback and feedforward. This course introduces the student to methods that can be used to tackle complex systems head-on using case studies that comprise the foundation of systems biology. The initial lectures of the course focuses on bringing students quickly up to speed with a variety of modeling methods in the context of a synthetic biological circuit. This is later applied on much more complicated network models are addressed―including transcriptional, signaling, metabolic, and even integrated multi-network models.In order to achieve those objectives the course introduces the student to mathematical techniques for quantitative analysis and simulations of basic circuits in genetic regulation, signal transduction and metabolism. Several continuous and discrete mathematical models such as ordinary, partial differential equations, dynamical systems and stochastic processes are used to formulate evolutionary biological models. Numerical methods are used in explaining the self-organization of biological networks; and biochemical simulations are discussed using recent and suitable software. The course will use case studies on topics that include end-product inhibition in biosynthesis, optimality and robustness of the signaling networks and kinetic proofreading. |
0900707
|
Bioinformatics Networks |
3 Credit Hours |
| This course will introduce students to Biological databases especially GenBank at the NCBI in addition to some of the most commonly used software and tools for genetic analysis of nucleic acid, protein sequences and designing primers and probes for PCR. In addition, the course explores and explains some of the computational biology tools found on the Internet and how they can be applied to problems in genomics and molecular biology to extract genomic signature that can shed light on the molecular mechanism of disease. |
| 1411531 |
Machine Learning |
3 Credit Hours |
| This course provides a broad introduction to machine learning. Topics include Regression: Simple and Multiple, Ridge, Kernel Feature, Feature Selection & Lasso; Classification: supervised learning such as Linear Classifiers & Logistic Regression; Decision Trees, support vector machines, and neural networks; unsupervised learning (such as clustering, recommender systems, deep learning); and best practices in machine learning such as Overfitting/Regularization and bias/variance theory. |
| 1411565 |
Data Mining |
3 Credit Hours |
| Data mining has become one of the most interesting and rapidly growing fields. Data mining techniques are used to uncover hidden information, such as patterns, in databases and perform predictions. The data to be mined may be complex data including multimedia, spatial, and temporal. Topic include data processing, association rules, clustering, and classification. This course is designed to provide graduate students with a solid understanding of data mining concepts and tools. |
| 0502502 |
Medical Imaging and Instrumentation |
3 Credit Hours |
| This course covers the physics, equipment and technical principles underlying the following medical instrumentation methods: tissue culture and in vitro imaging, X-ray radiography, computed tomography (CT), single photon and positron emission tomography (SPECT), positron emission tomography (PET) including SPECT/CT and PET/CT, magnetic resonance imaging (MRI), ultrasound (US) and doppler imaging techniques. It will also address the mathematical framework describing image encoding/decoding, point- spread function/modular transfer function, signal-to-noise ratio, contrast behavior for each of the medical imaging modalities. The use of commercial software is advised for the implementation and study of basic concepts. |
| 0502503 |
Molecular Imaging Application |
3 Credit Hours |
This course introduces a new discipline that combines cell biology, molecular biology, and diagnostic imaging. Two basic applications of molecular imaging are diagnostic imaging and therapeutic. This course will focus on the role of diagnostic imaging in detecting molecules, genes, and cells in vivo that are specific to a disease; mainly by the ability to identify receptor sites related to target molecules characterizing the disease studied. Emphasis will be on how these molecular imaging techniques can help study molecular mechanisms of disease in vivo. Topics include DNA/protein synthesis, transgenic mice, novel contrast agents and small animal imaging.
|
| 1430501 |
Biomedical photonic |
3 Credit Hours |
| This course studies interaction between light and biological materials; it then uses the information gathered to search and study for non-invasive diagnostic methods. The course should provide knowledge about light sources and light delivery systems, optical biomedical imaging techniques, optical measurement technologies and their specific applications in medicine. Fundamental principles will be accompanied by practical and contemporary examples. Different selected optical systems used in diagnostics and therapy will be discussed, new techniques for live cell imaging used in early diagnosis for cancer, diabetes, or other diseases will be also reviewed. Fluorescent probes and some nanotechnology applications like quantum dots will be included. |
| 0407550 |
Radiation Measurements and Instrumentation |
3 Credit Hours |
| This course covers a background in therapeutic radiotherapy instrumentation, dosimetry and treatment planning. Clinical radiation generators considered include kilovoltage units, Van de Graafs, Linacs, beatatron, microtron, cyclotron and radionuclide based units. Means for dose measurement using ionization chambers, solid state detectors (TLD), calorimetry, film and chemical dosimetry as well as dosimetric calculation methods employing depth doses, tissue air ratios, tissue maximum ratios, irregular field techniques and methods for inhomogeneity corrections. The concept of Monte Carlo will be introduced through simulation lab to help students understand the characteristics of ionizing radiation in simple and complex situations. |
| 0502501 |
Advanced Radiobiology and Radiation Protection |
3 Credit Hours |
| The course covers the basic principles of ionizing radiation and its physical and biological effects. The physical interactions of photons as well as of charged particles; the factors which underpin the differing radio-sensitivities of different tumors and normal tissue versus tumor tissue; fundamentals in dosimetry; deterministic as well as stochastic effects; and fundamental knowledge about radiation protection. Generation of ionizing radiation including the x-ray tube, the clinical linear accelerator, and different radioactive sources in radiology, and radiotherapy are addressed. Applications in radiology, nuclear medicine and radiotherapy with a special focus on the physics underlying these applications is reviewed. Radiation protection in industrial fields including nuclear reactors, navigation, and normal tissue versus environmental will be covered. Fundamentals of shielding calculations should be covered. |
| 1430500 |
Biophysics |
3 Credit Hours |
This postgraduate course is a 3 credit-hour course, which focuses on the application of physical principles with the aims of helping students to:
- Develop quantitative understanding of biophysical processes in natural and engineered macromolecules, membranes, and cells.
- Learn about modern biophysical methods capturing single molecule properties
- Apply biophysical principles to the solution of biomedical engineering problems.
The goals of this course focus on presenting biophysical concepts with the aim of mapping their application within the rapidly expanding interdisciplinary context. To achieve that, the course combines physics and biology concepts along with advanced mathematical tools & computational techniques to solve the multi-scale nature of biophysical problems and exploring macroscopic and microscopic applications. |
| 1103600 |
Principles of Tissue Engineering and Gene Therapy |
3 Credit Hours |
This course should give an overview on the current state in tissue engineering and regenerative medicine, for example stem cell bioengineering and cell therapy, at the level of basic principles and of specific applications, with additional focus on clinical trials.
|
| 1450512 |
Advanced Cell Biology |
3 Credit Hours |
| Students will be introduced to the advanced topics in Cell Biology including: Brief discussion of evolution of Cell from simple molecules; revision of structure and function of main eukaryotic cell's organelles; mechanism of proteins targeting and their subsequent modification inside nucleus, mitochondria, chloroplast, ER, Golgi and lysosome; detail mechanism of substances transport across the plasma membrane; bulk transport across the cells such as exocytosis and endocytosis and examples of dysregulation of such transports in the different diseases; the roles of cytoskeletal proteins in the cellular organization, movement and intracellular transport; the role of extracellular matrix in the organization. |
| 1427521 |
Biomaterials for Medical Applications |
3 Credit Hours |
| This course introduces the use of biomaterials for medical applications; Understanding the interaction between the surface of biomaterials and the cells. It is intended to provide students with fundamentals of biomedical applications; Studying type and structure of biomedical materials; Uses for biomaterials in medical applications; Basic understanding of the interactions between cells and the surfaces of biomaterials; Surface characterization methodology; Modification of biomaterials surfaces; Biointegration of three-dimensional–printed biomaterials and biomedical devices; Biomaterials for organ replacement, organ replacement therapies mechanical properties, bone Substitutes. The significance and uses of biomaterial in the human body for many purposes will be discussed. |
| 0900721 |
Cellular and Molecular Neuroscience |
3 Credit Hours |
| This course introduces the basic molecular and cellular science behind brain function, giving clear examples on certain molecules and cell-cell interactions. This is an introductory course for graduate students aimed at providing a synthetic overview of major principles and techniques associated with cellular and molecular neurobiology. Subject matter is intended to range from the detailed mechanics underlying neuronal signaling and cellular function to how these properties are invoked across development and during plasticity. Some of the covered core principles of neuronal development, ion channel function, synaptic transmission and membrane excitability are discussed. The course will provide the student with the skills to provide concept of neuronal function based on the molecular information gathered. |
| 1103621 |
Advanced Drug Delivery Systems |
3 Credit Hours |
| This course will introduce students to a variety of recent topics in the area of controlled drug delivery and relevant biomedical applications. Each topic will provide a comprehensive and critical examination of current and emerging research on the design and development of advanced drug delivery systems and their applications to experimental and clinical therapeutics. Emphasis is given to polymer-based systems and assembled nano-carriers and scaffolds for the delivery of therapeutic drugs, proteins, vaccines and genes. |
1450514
|
Stem Cell Biology and Engineering |
3 Credit Hours |
| The course will intend to cover the fundamentals of stem cell biology and to gain familiarity with current research in the field. The course will deal with stem cell concepts, methodologies for stem cell research, embryonic stem cells, adult stem cells, cloning and stem cell reprogramming and clinical applications of stem cell research. |
| 0402591 |
Independent Studies in Biomedical Engineering |
3 Credit Hours |
| The student is expected to carry out an independent study on a current issue in a selected area of Biomedical Engineering. This study is to be supervised by a faculty member and requires the approval of the department. The student is required to produce a formal report, which will be evaluated by his instructor. |
| 0402592 |
Selected Topics in Biomedical Engineering |
3 Credit Hours |
| This course is designed for specialized topic areas in contemporary biomedical Engineering which are not covered in the list of courses of the biomedical engineering master program. |
| 0405568 |
Commercialization of Biomedical Innovation |
3 Credit Hours |
| Introduction to and application of commercialization of biomedical innovations. Topics include needs clarification, stakeholder analysis, market analysis, value proposition, business models, intellectual property, regulatory, and reimbursement, product design process, development of a business plan for new ventures. |
| 0504550 |
Healthcare Operation, Planning, and Risk Management |
3 Credit Hours |
| The course covers the healthcare division from a management point of view, offering risk management plans with goals of assessing, developing, implementing, and monitoring healthcare risks in order to minimize them. Planning and operation of healthcare systems are also covered to help students prioritize in healthcare organizations, the various factors present, most importantly the patient care. |
