Page 458 - Undergraduate Catalog 2024-25

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Topics covered include Power Saving for Basic Electrical Quantities and Foreground Segmentation using
approaches in embedded system communicate their experience using Gaussian Mixture Models and
design, Wakeup mechanisms, and presentations and reports. the EM Algorithm on Matlab, and
Computing Battery Life. Students Face Detection and Tracking using
connect theoretical concepts learned EEN 413 - Sensors and OpenCV. The course has a project.
in the course to practice using hands- Transducers In this project, students work teams
on laboratory experiences covering Credit Hours: 3 using MATLAB and PyCharm to
Energy Consumption Analysis Prerequisite: EEN 310 design a Particle Filter-Based Object
and Optimization, Power Saving Tracking in Video Sequences and
Techniques Implementation, and This course builds on the concepts communicate their experience using
Wakeup Mechanisms and Interrupt and skills acquired in EEN310 presentations and reports.
Handling. The course has a project. Instrumentation and Measurement.
In this project, students work teams It provides students with an in- EEN 366 - Introduction to
using PyCharm, Arduino, Raspberry depth understanding of concepts, Robotics
Pi, Sensors, and Actuators to design a techniques, and applications of Credit Hours: 3
Energy-Efficient Embedded Systems: sensors. Topics covered include Prerequisite: EEN 365
Optimizing I/O Power Consumption sensors, data collection, and data
for Extended Battery Life and processing. Students connect This course builds on the concepts
communicate their experience using theoretical concepts learned in the and skills acquired in EEN365
presentations and reports. course to practice using hands-on Control Systems. It introduces
laboratory experiences covering students to concepts, techniques,
Robotics and Instrumentation various aspects of sensor technology and applications of Robotics and
EEN 310 - Instrumentation and and data acquisition. The course Automation. Topics covered include
Measurement includes a project. In this project, robotics, sensors, actuators, Robotics
students work in teams using Operating Systems (ROS), and PID
Credit Hours: 3 MATLAB and sensors to design and Control. Students connect theoretical
Prerequisite: CEN 304 develop sensor-based systems, concepts learned in the course to
communicating their experience practice using hands-on laboratory
This course builds on the concepts through presentations and detailed experiences covering Robotics
and skills acquired in CEN304 reports. Simulation on ROS, Gazebo, and
Electronic Devices and Circuits. It RViz, Setting up ROS on Raspberry
introduces students to concepts, CEN 454 - Computer Vision and Pi and Controlling Actuators, and
techniques, and applications of Image Processing Reading Sensor Data and Controlling
instrumentation and measurement. the Robot with ROS and OpenCV.
Topics covered include Analog Credit Hours: 3 The course has a project. In this
and Digital Signal Conditioning, Prerequisite: CEN464 + CEN464L project, students work teams using
Mechanical Transducers, Electric This course builds on the concepts PyCharm, MATLAB, ROS, Raspberry
Transducers, Measurements of basic and skills acquired in CEN464 Pi, Sensors, and Actuators to design
electrical quantities, and Analog Digital Signal Processing. It a Autonomous Surveillance Robot
and Digital Oscilloscopes . Students provides students with an in- using ROS and Computer Vision and
connect theoretical concepts learned depth understanding of concepts, communicate their experience using
in the course to practice using techniques, and applications of presentations and reports.
hands-on laboratory experiences image processing and computer
covering Analog and Digital Signal vision. Topics covered include noise EEN 490 - Special Topics in
Conditioning with Op-Amp Circuits, estimation, image filtering, image Electrical Engineering
Measurement of Basic Electrical enhancement, image reconstruction,
Quantities using Electromechanical morphological operations, image Credit Hours: 3
and Electronic Multi-meters, and segmentation, Convolutional Prerequisite: Senior Level
Oscilloscope Triggering, Timebase, Neural Networks (CNN), and This course will include advanced
and Measurement Techniques. object tracking. Students connect
The course has a project. In this theoretical concepts learned in the topics of contemporary interest
in selected areas of Electrical
project, students work teams course to practice using hands-on Engineering. Particular topics vary
using MATLAB, LabView, DAQ, and laboratory experiences covering
Electronics Components to design Spatial and Frequency Domain from term to term depending on
the interests of the students and the
a Design and Implementation of an Image Enhancement Pipelines on
Integrated Measurement System Matlab, Background Modeling and specialties of the instructor.

Abu Dhabi University | Undergraduate Catalog 2024 - 2025