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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