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        CEN201 - Electric Circuits I   CEN304 - Electronic Devices and   CEN464 - Digital Signal              In this project, students work teams   such as machine learning model   students. This hands-on experience
                                      Circuits                      Processing                                using MATLAB and PyCharm to design   development, data analysis, natural   can encompass various aspects of
        Credit Hours: 3                                                                                       a Particle Filter-Based Object Tracking   language processing, computer   AI engineering such as machine
        Prerequisite: ECS100 or PHY201 +   Credit Hours: 3          Credit Hours: 3                           in Video Sequences and communicate   vision, AI systems integration, and   learning model development, data
        EEN210L                       Prerequisite: CEN201          Prerequisite: CEN320                      their experience using presentations   deployment. During their internship,   engineering, natural language
        This course builds on the concepts   This course builds on the concepts   This course builds on the concepts   and reports.         students will embark on a well-  processing, computer vision, AI
        and skills acquired in ECS100   and skills acquired in CEN201 Electric   and skills acquired in CEN320 Signals   CEN401L - Embedded and IoT   planned course of action jointly   system integration, and deployment.
        Introduction to Engineering and   Circuits I. It introduces students   and Systems. It provides students   Lab                      devised by the site-supervisor and   During their internship, students will
        Computing. It introduces students   to concepts, techniques, and   with an in-depth understanding                                   the college-supervisor. This plan is   embark on a well-planned course of
        to concepts, techniques, and   applications of Electronic Devices   of concepts, techniques, and      Credit Hours: 1               intended to expose the students   action jointly devised by the site-
        applications of Electric Circuits. Topics   and Circuits. Topics covered include   applications of digital signal   Prerequisite: EEN210L  to a broad range of practical   supervisor and the college-supervisor.
        covered include Circuit Variables,   diodes, Bipolar Junction Transistors   processing. Topics covered include                      experiences that reflect the diverse   This plan is intended to expose the
        Circuit Elements, Resistive Circuits,   (BJTs), Field Effect Transistors (FETs),   the z-transform and its application to   This lab focuses on the practical   nature of the artificial intelligence   students to a broad range of practical
        Voltage-Divider and Current-Divider   and Operational Amplifiers (Op   the analysis of LTI systems, frequency   applications of embedded systems   engineering field. A significant part   experiences that reflect the diverse
        Circuit Circuits, Circuit Analysis.   Amps). Students connect theoretical   analysis of signals, frequency-domain   and internet of things concepts,   of this course is the internship report   nature of the artificial intelligence
        Students connect theoretical   concepts learned in the course to   analysis of LTI systems, the properties   techniques, and designs. Lab   and presentation that students are   engineering field. A significant part
        concepts learned in the course to   practice using hands-on laboratory   and applications of discrete fourier   equipment includes Arduinos,   required to prepare. In this report   of this course is the internship report
        practice using hands-on laboratory   experiences covering BJTs, FETs, and   transform, the design of digital filters,   Raspberry Pis, actuators, sensors,   and presentation, students will detail   and presentation that students are
        experiences covering voltage and   OpAmps. The course has a project.   and the properties and applications   and the PyCharm software.   their experiences, learning outcomes,   required to prepare. In this report
        current dividers, Star-Delta, and   In this project, students work teams   of discrete fourier transform .   Students connect theoretical   challenges faced, and solutions   and presentation, students will detail
        equivalent circuits. The course has a   using Multisim and testing equipment   The course has a project. In this   concepts learned in the course to   devised. They will communicate   their experiences, learning outcomes,
        project. In this project, students work   to design a common source amplifier   project, students work teams using   practice using hands-on laboratory   their findings and reflections in a   challenges faced, and solutions
        teams using Multisim and testing   and communicate their experience   MATLAB to design a digital filters and   experiments covering Introduction   comprehensive report and present   devised. They will communicate
        equipment to design a an RC high   using presentations and reports.  communicate their experience using   to the Arduino and the Raspberry   their experiences in presentations.   their findings and reflections in a
        pass filter and communicate their                           presentations and reports.                Pi, State Machines Implementations   This enhances their communication   comprehensive report and present
        experience using presentations and   EEN365 - Control Systems                                         using Embedded C++ and Python,   and analytical skills and helps them   their experiences in presentations.
        reports.                      Credit Hours: 3               CEN454 - Computer Vision and              TinkerCAD and TkCircuit Simulators,   introspect and understand their   This enhances their communication
                                                                                                              Bash Programming and Linux, Digital
                                                                                                                                            strengths, weaknesses, and areas
                                                                                                                                                                          and analytical skills and helps them
                                                                    Image Processing
        CEN320 - Signals and Systems   Prerequisite: MTT204 + CEN320  Credit Hours: 3                         Inputs and Outputs on Arduino, GPIO,   of interest in the field. Additionally,   introspect and understand their
        Credit Hours: 3               This course builds on the concepts   Prerequisite: CEN464 + CEN464L     Serial Communication, Interfacing   students will analyze the impact of   strengths, weaknesses, and areas
                                                                                                              Motors and Sensors, Web and Mobile
        Prerequisite: MTT205 + CEN201  and skills acquired in MTT204                                                                        artificial intelligence on society, the   of interest in the field. Additionally,
                                      Introduction to Linear Algebra and   This course builds on the concepts   Interfaces for IoT Nodes, and Back   environment, and the economy,   students will analyze the impact of
        This course builds on the concepts   CEN320 Signals and Systems. It   and skills acquired in CEN464   End Technologies.             providing them with a more holistic   artificial intelligence solutions on
        and skills acquired in MTT205   introduces students to concepts,   Digital Signal Processing. It      AIN399i - Internship in Artificial   understanding of their role as future   society, the environment, and the
        Differential Equations and CEN201   techniques, and applications of   provides students with an in-                                 AI engineers.                 economy, providing them with a more
        Electric Circuits. It introduces   Control Systems. Topics covered   depth understanding of concepts,   Intelligence Engineering I                                holistic understanding of their role as
        students to concepts, techniques, and   include Modeling in Frequency   techniques, and applications of   Credit Hours: 2           AIN399ii - Internship in Artificial   future AI engineers.
        applications of Signals and Systems.   and Time domains, The Transfer   image processing and computer   Prerequisite: 90 credit hours  Intelligence Engineering II
        Topics covered include classification   Functions, Poles, Zeros, System   vision. Topics covered include noise                      Credit Hours: 1               AIN451 - Artificial Intelligence
        of systems, DT and CT systems, signal   Response, block diagrams, Signal-  estimation, image filtering, image   “Internship in Artificial Intelligence   Prerequisite: AIN399i  Engineering Design Project I
        modeling and transformation, LTI   Flow Graphs, Stability, Steady-State   enhancement, image reconstruction,   Engineering I” is designed to expand               Credit Hours: 1
        systems, Frequency domain analysis   Error, Root Locus, and PID Controllers.   morphological operations, image   on the knowledge and skills acquired   “Internship in Artificial Intelligence   Prerequisite: Senior Level
        and Fourier transform, Laplace   Students connect theoretical   segmentation, Convolutional           in the first 90 credit hours of the   Engineering II” is designed to
        transform, Z-Transform, and Discrete   concepts learned in the course to   Neural Networks (CNN), and   Artificial Intelligence Engineering   expand on the knowledge and skills   This course builds on the concepts
        Fourier transform. The course has   practice using hands-on laboratory   object tracking. Students connect   program. This course provides   acquired in AIEN399i Internship in   and skills acquired in courses
        a project. In this project, students   experiences covering control systems   theoretical concepts learned in the   students with an opportunity to   Artificial Intelligence Engineering   throughout the Artificial Intelligence
        work teams using MATLAB to design   analysis, PID controllers on Simulink,   course to practice using hands-on   practically apply their theoretical   I and in the Artificial Intelligence   Engineering program. It is the
        a sound visualization interface and   and PID controllers on Arduinos. The   laboratory experiences covering   concepts in the fields of artificial   Engineering program. This   first part of a two-part sequence
        analyzer and communicate their   course has a project. In this project,   Spatial and Frequency Domain   intelligence and machine learning   course provides students with an   and requires students to be at the
        experience using presentations and   students work teams using MATLAB   Image Enhancement Pipelines on   within a professional, industry setting.   opportunity to practically apply   senior level. It introduces students
        reports.                      to design a liquid level control system   Matlab, Background Modeling and   The topics covered are dictated by   their theoretical concepts in the   to concepts, techniques, and
                                      for a chemical processing facility and   Foreground Segmentation using   the nature of the organization and   field of artificial intelligence within   applications of comprehensive project
                                      communicate their experience using   Gaussian Mixture Models and        the specific work assigned to the   a professional industry setting.   design and development within
                                      presentations and reports.    the EM Algorithm on Matlab, and           students. This hands-on experience   The topics covered are dictated by   Artificial Intelligence Engineering.
                                                                    Face Detection and Tracking using         can encompass various aspects of   the nature of the organization and   Skills covered include problem
                                                                    OpenCV. The course has a project.         artificial intelligence engineering   the specific work assigned to the   definition, AI system design, data


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