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        CEN333 - Cross-platform Mobile   transforms, Fourier domain   Bachelor of                             in pipes, flow over immersed bodies,   exchanger, boiling and condensation.   the revenues or expenses avoided by
        Application Development       representation, time domain                                             open channel flow and introduction   The course also aims at inspiring the   using the technology. Cases studies
                                      sampling, aliasing, pre-filtering,                                      to turbomachinery. The Navier-  student as well as at enhancing his/  of different sustainable technologies
        Credit Hours: 3               filter design and implementation on   Science in                        Stokes equations are derived from   her entrepreneurial skills, as related   will be considered.
        Prerequisite: CSC201          Arduino, random signals, probability,   Renewable and                   the basic principles of continuity of   to the field of heat transfer.
        This course builds on the concepts   noise modeling and reduction,                                    mass, conservation of momentum,   RSN385 - Energy Sustainability   RSN426 - Future Sustainable
                                                                                                                                                                          Energy
        and skills acquired in CSC201     power spectral analysis, and 1D-3D   Sustainable                    and conservation of energy. This
        Computer Programming I. It    signal processing for audio, sensor,                                    course primarily relies on face-to-face   Credit Hours: 3   Credit Hours: 3
        introduces students to concepts,   image, and video signals. Students   Energy                        lectures as the main mode of content   Pre-requisite: MEC320  Pre-requisite: RSN323
        techniques, and applications of Cross-  will also analyze the impact of digital                       delivery. Several assignments and   The course is intended to give the
        platform Mobile Applications. Topics   signal processing on society, the   Engineering                exams will be conducted. Additionally,                      The course is intended to give
        covered include Ionic Apps, Angular,   environment, and the economy.                                  students will engage in practical labs   student an overview on energy   the student an overview on the
                                                                                                                                            sustainability in both directions:
        App navigation, Geolocation, Google   AIN333 - Mobile Computer   MEC320 - Thermodynamics I            and collaborate on a project to apply                       key aspects that will define future
        Maps API, Google Fit, and Google   Vision and Machine Learning                                        theoretical concepts of hydrostatic   production and utilization and   sustainable energy systems: energy
        Cloud Vision. Students connect                              Credit Hours: 3                           forces and dimensional similarity and   how they are linked to sustainable   supply, energy storage, economics
                                                                                                                                            development. Students, also, will learn
        theoretical concepts learned in the   Credit Hours: 3       Pre-requisite: PHY102                     pump selection.                                             and limited environmental impacts.
        course to practice using hands-on   Prerequisite: CEN333    This course introduces the student        MEC410 - Control Systems      how energy systems are designed,   The course will help students to
                                                                                                                                            analyzed, assessed and evaluated
        laboratory experiences covering                             to the basic knowledge of energy                                                                      realize the current and future trends
        Experimenting with Local and Remote   This course provides students with   production, conversion and   Credit Hours: 3             in accordance to sustainable tools   in energy source investments. The
        Persistence in Cross-Platform Mobile   hands-on experience in building   utilization from natural resources.   Pre-requisite: RSN215 or (MEC310 +   for more sustainable future. The   course also include implementing
                                                                                                                                            course also covers aspects of energy
        Applications: Implementation and   AI-powered mobile applications   Development and application of the   MEC390)                                                  fuzzy models to study the decision
        Performance Analysis, Localization   using advanced cross-platform   basic principles of thermodynamics   This course aims to introduce   planning, environmental impacts, and   making for the selection of the best
                                                                                                                                            socio-economic issues on regional
        Strategies for Cross-Platform   development tools. The course covers   to systems and control volumes are                                                         renewable energy scenario.
        Mobile Applications: Testing and   TypeScript frameworks (Angular,   illustrated and emphasized. Topics   students to the fundamentals   and global levels with case studies.  RSN200 - Intro. to Renewable
        Evaluation of Multilingual Support,   Ionic, Capacitor), asynchronous   include properties of a simple pure   knowledge of control system theories   RSN421 - Tidal Energy Systems   and Sustainable Energy
                                                                                                              and applications. Topics include:
        and Integrating Local and RESTful   programming, cloud integration,   compressible substance, equations of                                                        Engineering
        API Services in Cross- Platform   and backend services, focusing   state, the first law of thermodynamics,   mathematical modelling, dynamic   Credit Hours: 3
                                                                                                              system responses, feedback control
        Mobile Applications: Implementation,   on real-time data processing and   internal energy, specific heats,                          Pre-requisite: MEC350         Credit Hours: 3
        Benchmarking, and Optimization. The   ofloading to cloud servers. Students   enthalpy, and the application of the   characteristics, stability of feedback   The course is intended to provide   Pre-requisite: 0
        course has a project. In this project,   will implement mobile AI and vision   first law to a system or a control   systems, feedback control design,   students with overview of concepts,   This is an engineering introduction
                                                                                                              design steps of PID controller, and
        students work teams using Visual   services, including object detection,   volume. The study of the second law                      technologies and the control of
        Studio code, StackBlitz, and Ionic to   image classification, and text   of thermodynamics is also discussed   control design using root locus   tidal energy systems and tidal   to renewable energy technologies
                                                                                                              method. The course includes project
        design a Smart Autonomous Mobile   recognition, using TensorFlow Lite   leading to the discovery of entropy as                      power plants. The course covers   and potentials. The course aims to
        Application: Combining Persistence,   and Firebase. Throughout the course,   a property and its ramifications. This   work where students formed in teams   the fundamentals of tidal energy,   introduce a general engineering/
        Navigation, Location, AI, and Native   students apply these skills in practical   course primarily relies on face-to-face   perform design, analyze laboratory   including the structure of tidal   science audience to the basic
                                                                                                                                                                          concepts of renewable energy.
                                                                                                              implementation of control systems
        Services and communicate their   lab sessions and work in teams on   lectures as the main mode of content                           currents and turbulence. The course
        experience using presentations and   a project to design and present a   delivery. Several assignments and   for applications for their choices. This   also introduces feasibility analysis   The course will highlight the basics
                                                                                                              course primarily relies on face-to-face
        reports.                      complete AI-based mobile application                                                                  methods of tidal power plants,   and potentials of various types
                                      that addresses a real-world problems.  exams will be conducted. Additionally,   lectures as the main mode of content                of renewable energies, e.g., solar
        CEN464L - Signal Processing Lab                             students will collaborate on a project    delivery. Several assignments and   maintenance and power generation.  energy, photovoltaic, wind power,
                                                                    to apply theoretical concepts of          exams will be conducted. Additionally,                      hydropower, biomass and waste
        Credit Hours: 1                                             thermodynamics.                           students will engage in practical labs   RSN423 - Feasibility Analysis of   energy, geothermal energy, and tidal
        Prerequisite:                                                                                         and collaborate on a project to apply   Renewable Energy    energy. The course will compare the
                                                                    MEC350 - Fluid Mechanics
        This course introduces students                                                                       control theory.               Credit Hours: 3               characteristics of various types of
        to the concepts, techniques,                                Credit Hours: 3                           MEC420 - Heat Transfer        Pre-requisite: RSN323         renewable energy, their potential,
        and applications of digital signal                          Pre-requisite: (RSN215 or CIV201) +                                     The course is intended to give the   limitations, cost, and use. Lectures
        processing. Topics covered include                          MTT205                                    Credit Hours: 3               student an overview on performing   will be embedded with examples
        discrete-time signals and systems,                          This course aims at providing             Pre-requisite: MEC320 + MEC350  a feasibility analysis for sustainable   from real world applications and in-
        transforms, sampling, filter design,                        students with essential concepts of                                     technologies that will result in energy   progress industrial developments.
        and signal processing in different                          fluid mechanics dealing mainly with       This course aims at providing   efficiency estimations. The student   RSN215 - Engineering Mechanics
        dimensions. Students connect                                incompressible flows. Topics covered      students with essential concepts of   will learn to apply basic analysis on
                                                                                                              Heat Transfer. Topics covered include:
        theoretical concepts learned                                include; Fluid properties, similitude,                                  sustainable technologies in terms of   Credit Hours: 3
        in the course to practice using                             fluid statics, Bernoulli’s equation,      Steady and transient heat conduction,   capacity, efficiency, constraints, and   Pre-requisite: PHY102
                                                                                                              forced and natural convection,
        hands-on laboratory experiences                             applications of the mass, momentum                                      dependability. The course will provide
        covering MATLAB, signal operations,                         and energy equations, viscous flow        internal and external flows, principles   students with methods to estimate   This is a foundation course in
        convolution, Fourier and Laplace                                                                      of engineering thermal radiation, heat                      engineering mechanics. The course
        Abu Dhabi University | Undergraduate Catalog 2026 - 2027                                              Abu Dhabi University | Undergraduate Catalog 2026 - 2027
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