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 BME 401 - Introduction to   BME 425 - IoT for Bioengineers:   and bio systems and signals and   relevant, modern and automated   modeling, fabrication and system   BME 420 - Medical Image
 Biotechnology  Applications and Security      competency of MATLAB. It is the   organization. The student will follow a   integration in software and hardware   Processing
 Credit Hours: 3  Credit Hours: 3                            student’s responsibility to come to   well-planned course of action during   aspects. The course is split into two   Credit Hours: 3
 class equipped with the knowledge
                                      and is taken over two semesters
        the period of training. The course
 Prerequisite: BME 301  Prerequisite: BME 325                             provided in those courses.  of action is designed and approved   to allow students enough time and   Prerequisite: BME 320 + CEN 330
 An introduction to biotechnology   This course builds upon the concepts   BME 441 - Medical Imaging   before the start of the internship   improve the quality of their design   This course introduces digital image
 course including DNA/RNA   and skills developed in BME325   Systems  through a formal exchange between   project. BME491 is a pre-requisite   processing techniques as they apply
 molecular biology, bioinformatics,   and BME333. It enforces covered   the site supervisor and assigned   to BME492. In this course students   to medical images. Topics covered
 basic techniques in biotechnology,   concepts and introduces new ones   Credit Hours: 3  faculty supervisor culminating   identify a problem and propose a   include two-dimensional discrete
 production of biological molecules,   for distributed embedded systems   Prerequisite: BME 320   in the signing of the internship   computer engineering solution to it.  systems, two-dimensional Fourier
 electrophoresis, PCR, DNA extraction   design. The course uses 8-bit   agreement. The plan will be devised   BME 492 - Biomedical   transform, design of two-dimensional
 and bioethics, Biotechnology Ethics   microcontrollers and Linux-based   This course introduces the physics,   jointly by the site-supervisor and   Engineering Design Project II  filters, human perception of
 and Regulations.  32-bit microprocessors and their   instrumentation, diagnostic   college-supervisor. The course will   Credit Hours: 2  images, color models, corner and
 methods of the different imaging
        be a breakthrough in exposing the
 BME 413 - Biomedical Sensors   integration running Linux design   modalities including X-ray computed   students to the professional work   Prerequisite: BME 491  line detection, segmentation,
                                                                     enhancement, restoration, object
 and Transducers  scalable applications in the context   tomography, nuclear medicine   culture and conduct of business   detection, and the 2D wavelet
 Credit Hours: 3      of Internet of Things. Students are   (SPECT/PET), and ultrasound   complexities.  The objective of this course is to   transform.
 also introduced to state charts (with
 Prerequisite: BME 310  concurrency and composite states)   imaging,. Image reconstruction   BME 312 - Medical Device   provide guided experience in wide   BME 431 - Bioinformatics
 and processing techniques of the
                                      areas of biomedical engineering to
 This course includes introduction to   for modeling and design of IoT   above mentioned modalities are also   Design    student teams working on design   Credit Hours: 3
 biosensors: definition, classification,   applications. The course discusses   introduced.  Credit Hours: 3  projects. The projects will integrate
 calibration, errors and uncertainty,    advanced interfacing techniques to   Prerequisite: BME 380  various engineering skills into   Prerequisite: CSC 201 + BME 301
 design requirements, and signal   many sensors and actuators. At the   BME 399i  - Internship in   operational engineering prototypes.   The course introduces the most
 conditioning circuits. Sensors   end of the course students will gain   Biomedical Engineering I         This is a project based course for   The projects will emphasize problem   important and basic methods, tools
 included: Temperature, pressure,   theoretic and practical experiences   Credit Hours: 2  the design of medical instruments   definition, design conceptualization,   and concepts used in Bioinformatics.
 ISE sensors, Ion-sensitive field effect   that they can immediately utilize   Prerequisite: 90 Credit Hours  to fulfill the needs of a predefined   modeling, fabrication and system   The covered topics include
 chemo-sensors, optical sensors,   to design and implement real-  clinical case. It includes problem   integration in software and hardware   bioinformatics databases, sequence
 Ultrasound transducers.  life IoT projects for remote   This course focuses on getting the   definition, concept generation,   aspects. The course is split into two   and structure alignment, protein
 monitoring and control using mobile   student practically involved in the   design requirements, design   and is taken over two semesters
 CEN 454 - Computer Vision and   applications. The course uses both   day-to-day business events in a   specifications, evaluation, design   to allow students enough time and   folding, protein-protein interaction,
 Machine Learning       the Arduino and Raspberry Pi and   relevant, modern and automated   validation, medical equipment   improve the quality of their design   protein structure prediction, Monte
                                                                     Carlo simulation, and molecular
 Credit Hours: 3  their integration using PyFirmata.   organization. The student will follow a   regulations, liability, and safety.    project. BME491 is a pre-requisite   dynamics. Emphasis will be put on
 Prerequisite: BME 320 + CEN 320  Especially emphasis is given to using   well-planned course of action during   The implementation of the project   to BME492. In this course students   the understanding and utilization
 operating system (Linux) capabilities   the period of training. The course   is based on the design principles   design, implement, and test the   of these concepts and algorithms.
 This course will introduce concepts   to expand what can be done   of action is designed and approved   in solving biomedical problems   solution they proposed in BME 491.  To solve the problems on their own
 of computer vision including image   compared to BME325. For example,   before the start of the internship   using the student’s background   research.
 representation and enhancement,   integrating simple computer vision   through a formal exchange between   in engineering and biomedicine
 edge detection, image segmentation,   and mobile applications in embedded   the site supervisor and assigned   with an emphasis on biomedical   Major Elective
 feature extraction and object   control.  faculty supervisor culminating   instrumentation circuit design to   BME 432 - Healthcare
 recognition. It is focused on the   BME 464 - Digital Bio-Signal   in the signing of the internship   solve presented problems.  Management Systems
 application of machine learning,   agreement. The plan will be devised   Credit Hours: 3
 especially deep learning, to images,   Processing  jointly by the site-supervisor and   BME 491 - Biomedical   BME 445 - Biomedical   Prerequisite: CSC 201
 video, or 3D signals. It explores both   Credit Hours: 3  college-supervisor. The course will   Engineering Design Project I  Ultrasound
 raw input and feature-space (e.g.,   Prerequisite: BME 320  be a breakthrough in exposing the   Credit Hour: 1  Credit Hours: 3  This course covers key principles,
 shape, appearance, spatial, etc.),   students to the professional work   Prerequisite: Senior Level + BME 312   Prerequisite: BME 310  practices, and personalities of
 imaging data as input to machine   This course is concerned with   culture and conduct of business   + BME 425  healthcare management including
 learning for segmentation, object   processing of discrete bio   complexities.  Fundamentals of acoustic   leadership, organizational behavior,
 recognition, object detection, and   signals and systems, specifically,   The objective of this course is to   propagation, plane wave and acoustic   strategic planning, quality control,
 scene understanding. Students   processing signals using linear   BME 399ii  - Internship in   provide guided experience in wide   impedance, wave propagation in   marketing, hospital information
 will learn to use Matlab’s Image   time invariant systems. The design   Biomedical Engineering II         areas of biomedical engineering to   oblique and normal cases, Doppler   systems. The content is broadly
 Processing and Computer Vision   and the implementation of DSP   Credit Hour: 1  student teams working on design   effect circular piston and near and far   applicable to healthcare facilities of
 toolboxes and Python’s OpenCV   are introduced via a biomedical   Prerequisite: BME 399i  projects. The projects will integrate   field approximation, imaging modes,   every kind.
 in labs and projects to design   engineering project to provide hands   various engineering skills into   US transducers and their different
 image and video processing and   on experience. This course builds   This course focuses on getting the   operational engineering prototypes.   types, The design of imaging and
 understanding pipelines.  upon concepts that students have   student practically involved in the   The projects will emphasize problem   therapeutic transducers.
 learned in calculus, linear algebra   day-to-day business events in a   definition, design conceptualization,


 Abu Dhabi University | Undergraduate Catalog 2023 - 2024  Abu Dhabi University | Undergraduate Catalog 2023 - 2024
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