Page 609 - Undergraduate Catalog 2026-27
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 COE230 - Engineering Customer   final customers, with the objective of   COE260 - Engineering   of integrating renewable energy
 Relationship Management   achieving a sustainable competitive   Measurement and   sources, mainly wind and solar
 advantage and optimizing the value   Instrumentation  technologies, on grid operation and
 Credit Hours: 3   and the long-term performance of   control. The course covers electric
 Pre-requisite: STT100  the firm and the supply chain as a   Credit Hours: 3   power grids, load models, converters,
 This course provides engineering   whole. Using a strategic framework,   Pre-requisite: PHY201  smart power grid systems, power
 students with a comprehensive   students are guided through all of   This course builds on the concepts   grid modeling, photovoltaic, thermal,
 and balanced review of customer   the key drivers of procurement and   and skills acquired in STT100 General   and wind power plants, and the
 relationship management (CRM) and   supply chain performance, including:   Statistics. It introduces students   load flow analysis of power grids
 procurement which are essential   bidding process, standards, technical   to concepts, techniques, and   and microgrids. It also addresses
 skills for practicing engineers in   specifications, facilities, inventory,   applications of Artificial Intelligence.   the microgrid faults studies and the
 the UAE. The course defines what   transportation, information, sourcing,   Topics covered include Artificial   use of energy storage for offsetting
 CRM is, the benefits it delivers, the   and pricing.  Intelligence Termonologies, Data   variability. The course also considers
 contexts in which it is used, the   COE250 - Engineering Systems   Preprocessing, Supervised Learning   the design of renewable-based micro-
 technologies that are deployed,   Modeling and Simulation   ( e.g., Regression and Classification),   grid energy systems using Simulink.
 and how it can be implemented   AI Performance Evaluation and Bias,   RSN485 - Energy Storage
 throughout the customer life cycle   Credit Hours: 3   Neural Networks, Convolutional
 stages of an engineering or IT firm:   Pre-requisite: CSC201  Neural Networks, Clustering, Ethics in   Credit Hours: 3
 customer acquisition, retention, and   AI and AI Strategy. Students connect   Pre-requisite: EEN441
 development. This focus of the course   This course introduces   theoretical concepts learned in the   The majority of renewable energy
 is on engineering firms providing   undergraduate engineering students   course to practice using hands-on
 B2B and B2C engineering services in   to measurement principles and the   laboratory experiences covering   resources are intermittent in nature,
        and therefore, in order to ensure
 the technology, construction, energy,   range of sensors and instruments   data preprocessing, performance
 healthcare, education, governance,   used for measuring physical variables   evaluation, cross-validation, and   reliability and continuity of supply
 and manufacturing sectors.  in a wide variety of domestic and   neural networks. The course has a   for those renewable energy systems,
 industrial activities. The course starts   project. In this project, students work   the use of energy storage devices is
 COE240 - Environmental and   with an introduction to measurement   teams using Excel and AI-Training   essential. This course discusses the
 Safety Engineering   units and systems. Students learn   Software to design a classification   different energy storage techniques
 about the instrument types, their   involving electrochemical, mechanical
 Credit Hours: 3   performance characteristics,   model and communicate their   and other emerging options, as well
 Pre-requisite: STT100  and identification/mitigation of   experience using presentations and   as the integration of those energy
 reports.
 This course introduces the students   measurement process errors. They   storage systems with the different
 to the fundamentals of occupational   also learn how to calculate different   RSN477 - Nuclear Energy   renewable energy resources and
 environmental covers a variety   sensors output with the variable   Credit Hours: 3   their effect on the bulk power system,
 of topics including occupational   conversion methods. The course   Pre-requisite: MEC420  and design trade-offs. Furthermore,
 environmental safety engineering and   features data acquisition techniques,   the environmental impacts, cost,
 how to management with emphasis   signal processing (analog, digital,   The course aims to provide students   reliabilities, and efficiencies for
 on control of hazardous materials   and their interconversion), and post-   with basic knowledge of nuclear   commercialization of bulk energy
 safety considerations in production   processing of LabView’s instruments’   energy systems for the sustainable   storage are also analysed.
 facility design and maintenance   gathered data. Covered topics include   global environment. The purpose
 operation of effective safety   displaying, analyzing, and presenting   of this course is to study the
 programs and system safety analysis   recorded data from the instruments   fundamentals of heat generation,
 techniques.  is discussed in detail. Students build   cooling, energy transport and
 their knowledge about intelligent   energy conversion in various kinds
 COE270 - Procurement and   sensors’ working and operation,   of fission and fusion reactors, and to
 Supply Chain Engineering   numerous sensor technologies,   understand nuclear energy systems.
 and principles and techniques of
 Credit Hours: 3   measurements of physical quantities   RSN411 - Grid Integration of
 Pre-requisite: STT100  such as temperature, pressure, flow,   Renewable Energy
 This course studies procurement   mass, force, and torque using various   Credit Hours: 3
 engineering and supply chain   instruments for practical applications.   Pre-requisite: EEN441
 systems that support the physical   Lectures and labs are used to ensure
 supply of raw and semi-finished   that the concepts of instrumentation   This course introduces the students
 materials to a firm, the planning and   and sensor systems are understood.  to large-scale integration of
 control of operations, and the delivery   renewable generation in electricity
 of the products or services up to the   grids. It demonstrates the influence


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