Page 483 - Undergraduate Catalog 2024-25

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Z-Transform, and Discrete Fourier BME 381 - Human Biology II BME 413 - Biomedical Sensors
transform. Credit Hours: 3 and Transducers
BME 330 - Physiological Prerequisite: BME 380 Credit Hours: 3
Modeling Human Biology II is the second Prerequisite: BME 310
Credit Hours: 3 course that describes the general This course includes introduction to
Prerequisite: BME 380 + BME 320 principles of human physiology biosensors: definition, classification,
and anatomy II. It focuses on the calibration, errors and uncertainty,
Mathematical modeling principles; physiology of the cardiovascular design requirements, and signal
modeling techniques: compartmental system, blood function and conditioning circuits. Sensors
and distributed modeling; design composition. This course introduces included: Temperature, pressure,
of system elements, case studies of students to the players of the ISE sensors, Ion-sensitive field effect
medical system examples, computer- immune system, endocrine, renal chemo-sensors, optical sensors,
aided design methods, design of and respiratory and digestive Ultrasound transducers.
subsystems. Dynamic modeling and systems. Special emphasis is placed
control of selected biological and on diseases related to homeostasis CEN 454 - Computer Vision and
physiological processes. imbalances related to the above Machine Learning
BME 325 - IoT for Bioengineers: systems. Credit Hours: 3
Foundations and Design EEN 365 - Control Systems Prerequisite: BME 320 + CEN 320
Credit Hours: 3 Credit Housr: 3 This course will introduce concepts
Prerequisite: CSC 201+ EEN 210 Prerequisite: BME 320 + MTT 204 of computer vision including image
representation and enhancement,
This course will introduce 8-bit This course is intended to introduce edge detection, image segmentation,
microcontrollers, their RISC students to concepts and techniques feature extraction and object
architecture, and how they are used of classical control and to briefly recognition. It is focused on the
to build embedded systems and introduce some concepts of modern application of machine learning,
Internet of Things applications by control and discrete-time. The main especially deep learning, to images,
interfacing sensors and actuators. goal is to enable students to analyze, video, or 3D signals. It explores both
During this course, students will design, and synthesize linear control raw input and feature-space (e.g.,
develop a basic understanding of systems. Students will become shape, appearance, spatial, etc.),
embedded systems and how to familiar with analytical methods and imaging data as input to machine
program them using assembly and will be exposed extensively to the use learning for segmentation, object
embedded C. They also learn how of computers for analysis and design recognition, object detection, and
systems can be controlled and/or of control systems. scene understanding. Students
monitored by these microcontrollers. will learn to use Matlab’s Image
Lectures and labs will be used to BME 401 - Introduction to Processing and Computer Vision
ensure that the concepts of IoT are Biotechnology toolboxes and Python’s OpenCV
understood. Topics covered include Credit Hours: 3 in labs and projects to design
instruction cycle, registers, memory, image and video processing and
IO, ADC, DAC, Timers, interrupts, and Prerequisite: BME 301 understanding pipelines.
serial communication. An introduction to biotechnology BME 425 - IoT for Bioengineers:
BME 380 - Human Biology I course including DNA/RNA Applications and Security
molecular biology, bioinformatics,
Credit Hours: 3 basic techniques in biotechnology, Credit Hours: 3
Prerequisite: CHE 205 + BIO 205 production of biological molecules, Prerequisite: BME 325
electrophoresis, PCR, DNA extraction
Anatomy and Physiology I is the first and bioethics, Biotechnology Ethics
of a two-course sequence examining and Regulations. This course builds upon the concepts
the terminology, structure, function, and skills developed in BME325
and interdependence of the human and BME333. It enforces covered
body systems. This course includes a concepts and introduces new ones
study of the cells, chemistry, tissues, for distributed embedded systems
integumentary, skeletal, muscular, design. The course uses 8-bit
nervous, and special senses. microcontrollers and Linux-based
32-bit microprocessors and their
integration running Linux design

Abu Dhabi University | Undergraduate Catalog 2024 - 2025