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using a Numerical Protective Electronic Devices and Circuits. It CEN 454 - Computer Vision and Pi and Controlling Actuators, and SWE 201 - Structured
Relay, Overcurrent and Overload introduces students to concepts, Image Processing Reading Sensor Data and Controlling Bachelor of Programming
Protection of AC Machines and Power techniques, and applications of the Robot with ROS and OpenCV. Science in
Transformers using a Numerical instrumentation and measurement. Credit Hours: 3 The course has a project. In this Credit Hours: 3
Protective Relay, and Differential Topics covered include Analog Prerequisite: CEN464 + CEN464L project, students work teams using Information Prerequisite: MTT101 or Higher
Protection. The course has a project. and Digital Signal Conditioning, This course builds on the concepts PyCharm, MATLAB, ROS, Raspberry The main objective of this course
In this project, students work teams Mechanical Transducers, Electric and skills acquired in CEN464 Pi, Sensors, and Actuators to design Technology is to provide students with the
using MATLAB Simulink and DIGSI 5 Transducers, Measurements of basic Digital Signal Processing. It a Autonomous Surveillance Robot logic and tools required to develop
to design a Simulation and Analysis electrical quantities, and Analog provides students with an in- using ROS and Computer Vision and structured software programs in Java.
of Over-Current Protection in Three- and Digital Oscilloscopes . Students depth understanding of concepts, communicate their experience using Java is a challenging programming
Phase Power Systems using Matlab connect theoretical concepts learned techniques, and applications of presentations and reports. Degree Requirements language that is based on object-
Simulink and communicate their in the course to practice using image processing and computer oriented programming methodology.
experience using presentations and hands-on laboratory experiences vision. Topics covered include noise EEN 490 - Special Topics in However, this course focuses on
reports. covering Analog and Digital Signal estimation, image filtering, image Electrical Engineering COE 102- Introductory Big Data structured programming as the main
Conditioning with Op-Amp Circuits, Analytics
CEN 435 - Low Power Operation Measurement of Basic Electrical enhancement, image reconstruction, Credit Hours: 3 objective of learning. It also serves as
of Embedded Systems Quantities using Electromechanical morphological operations, image Prerequisite: Senior Level Credit Hours: 3 a preliminary foundation for learning
the object-oriented programming
segmentation, Convolutional
Credit Hours: 3 and Electronic Multi-meters, and Neural Networks (CNN), and This course will include advanced Prerequisite: STT100 methodology. The material for this
Prerequisite: CEN 425 Oscilloscope Triggering, Timebase, object tracking. Students connect topics of contemporary interest course includes Introduction to
and Measurement Techniques. theoretical concepts learned in the in selected areas of Electrical This course provides a general Computers and Java Programming,
This course builds on the concepts The course has a project. In this course to practice using hands-on Engineering. Particular topics vary introduction to Data Analytics. Control Structures (loops and
and skills acquired in CEN425 project, students work teams laboratory experiences covering from term to term depending on It provides an essential guide to conditions), Functions, Arrays, and
Internet of Things: Applications and using MATLAB, LabView, DAQ, and Spatial and Frequency Domain the interests of the students and the understanding and using data Strings and the notion of algorithms
Edge AI. It provides students with an Electronics Components to design Image Enhancement Pipelines on specialties of the instructor. analytics in real-life applications for solving problems
in-depth understanding of concepts, a Design and Implementation of an Matlab, Background Modeling and without the need for any previous
techniques, and applications of Integrated Measurement System Foreground Segmentation using familiarity with programming. The CSC 202 - Computer
Embedded Systems Operation Power. for Basic Electrical Quantities and Gaussian Mixture Models and course starts by introducing the main Programming II
Topics covered include Power Saving communicate their experience using the EM Algorithm on Matlab, and concepts of Data Analytics to provide
approaches in embedded system presentations and reports. Face Detection and Tracking using a solid understanding of the field, Credit Hours: 3
design, Wakeup mechanisms, and OpenCV. The course has a project. its subfields, and major application Prerequisite: SWE 201 or CSC 201
Computing Battery Life. Students EEN 413 - Sensors and In this project, students work teams areas. Students will learn the different Object-oriented programming offers
connect theoretical concepts learned Transducers using MATLAB and PyCharm to types of data, data sources and data greater reliability, maintainability
in the course to practice using hands- Credit Hours: 3 design a Particle Filter-Based Object use, and technologies for Big Data. and reusability than structured
on laboratory experiences covering Prerequisite: EEN 310 Tracking in Video Sequences and Then, we move through the various programming. This course follows
Energy Consumption Analysis communicate their experience using types of analytics starting with basic on from Structured Programming
and Optimization, Power Saving This course builds on the concepts presentations and reports. univariate descriptive analytics and and introduces the concepts of
Techniques Implementation, and and skills acquired in EEN310 moving through multivariate until Object-Oriented Programming. It
Wakeup Mechanisms and Interrupt Instrumentation and Measurement. EEN 366 - Introduction to we reach predictive, model-based develops the basic skills necessary
Handling. The course has a project. It provides students with an in- Robotics analytics. The course is designed to develop software application
In this project, students work teams depth understanding of concepts, in a way that balances theory and programs in Java using objected
using PyCharm, Arduino, Raspberry techniques, and applications of Credit Hours: 3 practice. Throughout the course, the oriented principles and concepts. The
Pi, Sensors, and Actuators to design a sensors. Topics covered include Prerequisite: EEN 365 students will follow the data-driven course presents the main principles
Energy-Efficient Embedded Systems: sensors, data collection, and data This course builds on the concepts approach to solving real-life problems of Objected Oriented Programming:
Optimizing I/O Power Consumption processing. Students connect and skills acquired in EEN365 through a series of practical labs and data abstraction, objects and classes,
for Extended Battery Life and theoretical concepts learned in the Control Systems. It introduces class activities. They will learn how inheritance, and polymorphism.
communicate their experience using course to practice using hands-on students to concepts, techniques, to explain and identify the elements It also covers Exception Handling,
presentations and reports. laboratory experiences covering and applications of Robotics and of introductory to intermediate binary files, abstract classes, and
various aspects of sensor technology Automation. Topics covered include data-driven systems using Microsoft interfaces. Graphical user interfaces
Robotics and Instrumentation and data acquisition. The course robotics, sensors, actuators, Robotics Power BI. The course concludes by and event-driven programming are
EEN 310 - Instrumentation and includes a project. In this project, Operating Systems (ROS), and PID introducing the students to a variety also covered. Students should have
Measurement students work in teams using Control. Students connect theoretical of special data analytics applications a core foundation of structured
MATLAB and sensors to design and concepts learned in the course to in engineering, health, business, and programming principles in order to
Credit Hours: 3 develop sensor-based systems, practice using hands-on laboratory the web emphasizing social, security, progress smoothly and effectively in
Prerequisite: CEN 304 communicating their experience experiences covering Robotics and economic dimensions. this course.
This course builds on the concepts through presentations and detailed Simulation on ROS, Gazebo, and
reports.
and skills acquired in CEN304 RViz, Setting up ROS on Raspberry

Abu Dhabi University | Undergraduate Catalog 2026 - 2027 Abu Dhabi University | Undergraduate Catalog 2026 - 2027