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This course covers probability Safety devices; signal conditioning, program them using assembly and of computers for analysis and design image and video processing and upon concepts that students have
theory, discrete and continuous amplification, filtration, processing, embedded C. They also learn how of control systems. understanding pipelines. learned in calculus, linear algebra
random variables and their A/D and D/A converters, interfacing systems can be controlled and/or and bio systems and signals and
distributions, the concept of mean with digital computers, Biomedical monitored by these microcontrollers. BME 401 - Introduction to BME 425 - IoT for Bioengineers: competency of MATLAB. It is the
and variance, functions of one and measurement devices (ECG, EMG and Lectures and labs will be used to Biotechnology Applications and Security student’s responsibility to come to
two random variables, central limit EEG); Respiratory measurements; ensure that the concepts of IoT are Credit Hours: 3 Credit Hours: 3 class equipped with the knowledge
theorem, statistics, and random Devices for measuring flow, pressure, understood. Topics covered include Prerequisite: BME 301 Prerequisite: BME 325 provided in those courses.
processes. Emphasis is given to biopotentials. instruction cycle, registers, memory,
applications to signal processing and IO, ADC, DAC, Timers, interrupts, and An introduction to biotechnology This course builds upon the concepts BME 441 - Medical Imaging
communications. BME 320 - Biosystems and serial communication. course including DNA/RNA and skills developed in BME325 Systems
Signals molecular biology, bioinformatics, Credit Hours: 3
CEN 324 - Analog and Digital Credit Hours: 3 BME 380 - Human Biology I basic techniques in biotechnology, and BME333. It enforces covered
Electronics Prerequisite: MTT 205 + CEN 201 Credit Hours: 3 production of biological molecules, concepts and introduces new ones Prerequisite: BME 320
for distributed embedded systems
Credit Hours: 3 Prerequisite: CHE 205 + BIO 205 electrophoresis, PCR, DNA extraction design. The course uses 8-bit This course introduces the physics,
Prerequisite: CEN 304 This course will provide a foundation and bioethics, Biotechnology Ethics microcontrollers and Linux-based instrumentation, diagnostic
to other courses that deal with signals Anatomy and Physiology I is the first and Regulations. 32-bit microprocessors and their methods of the different imaging
The course covers the analysis and and systems concepts directly or of a two-course sequence examining integration running Linux design modalities including X-ray computed
design of digital and analog circuits. indirectly such as communication, the terminology, structure, function, BME 413 - Biomedical Sensors scalable applications in the context tomography, nuclear medicine
Analog-to-digital and digital-to-analog control, instrumentation, etc. and interdependence of the human and Transducers of Internet of Things. Students are (SPECT/PET), and ultrasound
conversion circuits. Fundamental The course covers the following body systems. This course includes a Credit Hours: 3 also introduced to state charts (with imaging,. Image reconstruction
concepts in digital electronics: VTC topics classification of systems DT study of the cells, chemistry, tissues, Prerequisite: BME 310 concurrency and composite states) and processing techniques of the
curve, Fan-out, Propagation delay and CT systems, signal modeling integumentary, skeletal, muscular, for modeling and design of IoT above mentioned modalities are also
and static/dynamic power dissipation. and transformation, LTI systems, nervous, and special senses. This course includes introduction to applications. The course discusses introduced.
NMOS/CMOS inverters, CMOS NOR/ Frequency domain analysis and biosensors: definition, classification, advanced interfacing techniques to
NAND gates. Operational amplifiers. Fourier transform, Laplace transform, BME 381 - Human Biology II calibration, errors and uncertainty, many sensors and actuators. At the BME 399i - Internship in
Low, medium, and high frequency Z-Transform, and Discrete Fourier Credit Hours: 3 design requirements, and signal end of the course students will gain Biomedical Engineering I
models for transistors. Small-signal transform. Prerequisite: BME 380 conditioning circuits. Sensors theoretic and practical experiences Credit Hours: 2
analysis (Hybrid-π model) and design included: Temperature, pressure, that they can immediately utilize Prerequisite: 90 Credit Hours
of single-stage MOSFET/BJT circuits. BME 330 - Physiological Human Biology II is the second ISE sensors, Ion-sensitive field effect to design and implement real-
Frequency response characteristics of Modeling course that describes the general chemo-sensors, optical sensors, life IoT projects for remote This course focuses on getting the
single/multi-stage amplifiers. Power Credit Hours: 3 principles of human physiology Ultrasound transducers. monitoring and control using mobile student practically involved in the
amplifiers: class A and B. Feedback Prerequisite: BME 380 + BME 320 and anatomy II. It focuses on the CEN 454 - Computer Vision and applications. The course uses both day-to-day business events in a
topologies and stability. Wave physiology of the cardiovascular Machine Learning the Arduino and Raspberry Pi and relevant, modern and automated
shaping: Multi-vibrators (Mono-stable, Mathematical modeling principles; system, blood function and their integration using PyFirmata. organization. The student will follow a
quasi-stable, and Bi-stable) and modeling techniques: compartmental composition. This course introduces Credit Hours: 3 Especially emphasis is given to using well-planned course of action during
oscillators. and distributed modeling; design students to the players of the Prerequisite: BME 320 + CEN 320 operating system (Linux) capabilities the period of training. The course
of system elements, case studies of immune system, endocrine, renal of action is designed and approved
BME 310 - Biomedical medical system examples, computer- and respiratory and digestive This course will introduce concepts to expand what can be done before the start of the internship
Instrumentation aided design methods, design of systems. Special emphasis is placed of computer vision including image compared to BME325. For example, through a formal exchange between
Credit Hours: 3 subsystems. Dynamic modeling and on diseases related to homeostasis representation and enhancement, integrating simple computer vision the site supervisor and assigned
and mobile applications in embedded
edge detection, image segmentation,
Prerequisite: BME 380 control of selected biological and imbalances related to the above feature extraction and object control. faculty supervisor culminating
physiological processes.
systems.
in the signing of the internship
Co-requisite: CEN 324 recognition. It is focused on the BME 464 - Digital Bio-Signal agreement. The plan will be devised
BME 325 - IoT for Bioengineers: EEN 365 - Control Systems application of machine learning,
Instrumentation concepts, analogue Foundations and Design especially deep learning, to images, Processing jointly by the site-supervisor and
and digital circuits design, filters, Credit Housr: 3 video, or 3D signals. It explores both Credit Hours: 3 college-supervisor. The course will
measurement of temperature, force, Credit Hours: 3 Prerequisite: BME 320 + MTT 204 raw input and feature-space (e.g., be a breakthrough in exposing the
blood flow, and respiratory system, Prerequisite: CSC 201+ EEN 210 This course is intended to introduce shape, appearance, spatial, etc.), Prerequisite: BME 320 students to the professional work
vital signals: ECG, EEG, EMG, Medical students to concepts and techniques imaging data as input to machine This course is concerned with culture and conduct of business
imaging lasers, therapeutic devices, This course will introduce 8-bit of classical control and to briefly learning for segmentation, object processing of discrete bio complexities.
safety in medical devices. microcontrollers, their RISC recognition, object detection, and signals and systems, specifically, BME 399ii - Internship in
architecture, and how they are used introduce some concepts of modern
BME 310L - Biomedical to build embedded systems and control and discrete-time. The main scene understanding. Students processing signals using linear Biomedical Engineering II
time invariant systems. The design
Instrumentation Laboratory Internet of Things applications by goal is to enable students to analyze, will learn to use Matlab’s Image and the implementation of DSP Credit Hour: 1
Processing and Computer Vision
Credit Hour: 1 interfacing sensors and actuators. design, and synthesize linear control toolboxes and Python’s OpenCV are introduced via a biomedical Prerequisite: BME 399i
systems. Students will become
During this course, students will
Prerequisite: BME 310 develop a basic understanding of familiar with analytical methods and in labs and projects to design engineering project to provide hands This course focuses on getting the
Measurements errors and noise; embedded systems and how to will be exposed extensively to the use on experience. This course builds
Abu Dhabi University | Undergraduate Catalog 2026 - 2027 Abu Dhabi University | Undergraduate Catalog 2026 - 2027