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Smart Energy Systems Engineering
Powering the Future of Clean and Intelligent Energy
As the global energy landscape shifts toward sustainability, digital solutions and smart infrastructures are redefining how power is generated, delivered, and managed. Nile University’s Smart Energy Systems Engineering program equips students with the engineering expertise to lead this transformation — blending core power engineering fundamentals with cutting-edge technologies and intelligent system design.
This program prepares you to build, optimize, and manage energy systems that are efficient, reliable, and environmentally responsible. You’ll gain both theoretical depth and practical experience to meet the evolving demands of renewable energy integration, smart grids, and digital control systems.
Students in Smart Energy Systems Engineering will develop knowledge and skills in:
- Renewable energy technologies — solar, wind, bioenergy, and more
- Smart grids and energy distribution systems
- Energy efficiency analysis and system optimization
- Digital control and automation for energy applications
- Modeling, simulation, and intelligent energy management tools
Through a combination of project-based work, laboratory experience, and real-life case studies, you’ll learn how to engineer energy solutions that are economically viable, technically sound, and environmentally sustainable.
Energy systems around the world are undergoing rapid change — driven by climate goals, technological innovation, and rising demand for digital–energy solutions. Today’s energy professionals need more than foundational knowledge; they require the ability to integrate technologies, optimize complex systems, and shape policy-relevant decisions.
Smart Energy Systems Engineering at Nile University bridges this gap by combining:
- Engineering fundamentals with future-ready technologies
- Sustainability and clean energy planning
- Digital analytics and intelligent system design
- Hands-on learning with real energy data and tools
Graduates of this program are prepared for exciting and meaningful roles in the energy sector and beyond, including:
- Renewable Energy Engineer
- Smart Grid and Systems Analyst
- Energy Efficiency Consultant
- Power Systems Designer
- Energy Project Manager
- Digital Energy Solutions Specialist
- Sustainability and Infrastructure Coordinator
These careers span industries such as utilities, consulting, manufacturing, infrastructure planning, government, and international development — wherever smart, sustainable energy solutions are needed most.
Our graduates are:
- Skilled in analyzing, designing, and optimizing modern energy systems
- Fluent in renewable technologies and smart grid applications
- Equipped with advanced tools for intelligent energy management
- Prepared for careers that shape a more efficient, resilient, and sustainable energy future
Courses
| Course name | Code | Description | Credit hours |
| Computer & Information Skills | CSC 111 | Introduction to computers and information skills to enable efficient use of computers and to prepare student for lifelong learning in information technology, Basic understanding of operating-systems, hardware, networks, software applications, Basic understanding of system development, and social implications of information technology, Introduction to standard office software applications for information formatting and web-page design, and database management through a series of assignments and projects | 3 |
| English I | EGL 111 | Introduction to the process of writing through reading, integrated approach to teaching the skills of thinking, reading and writing that first-year students need in order to succeed in their academic work Independent thinking by showing them how to organize information, interpret different perspectives, solve challenging problems, analyze complex issues and communicate ideas clearly by drawing heavily on exciting topics to stimulate the interests, thinking and writing critically. | 0 |
| English II | EGL 112 | Building more formal, academic discourse, focusing on writing meaningful essays and developing their skills, through observation, analysis, critical reading and thinking, arts of style, organization and thoughtful content as well as sharpening the skills of logical reasoning and problem analysis through the development of reading comprehension strategies for informative and expository texts with focus on summarizing, analyzing and synthesizing textual material, examining selected readings and stylistic strategies as a means of developing effective argument-based writing. | 0 |
| Writing Skills | EGL 213 | Development and use of research, critical analysis, organization and revision within the writing process, methods of documentation in library and online research, using quotations and source citations for professional papers using inductive and deductive reasoning, developing the skills of scientific argumentation, persuasion, evaluation and criticism needed for a research paper, one minor and one major project during the term as well as a series of short response essays. | 3 |
| Communication and Presentation Skills | EGL 214 | The ability to communicate effectively using the written and spoken, learn and practice the skills of interpersonal and professional communication, improving skills in oratory and public presentations by introducing writing professional documents, including technical/scientific reports, business letters, faxes, resumes, etc. Report writing process by practicing techniques of writing a well-structured report as well as delivering a well-structured presentation in a formal setting, inter-personal and professional communication with special consideration given to the cultural and linguistic aspects, human perceptions, interpersonal dynamics, the art of listening and convincing, verbal and visual symbols. | 3 |
| Engineering History Electives: (Engineering Disciplines: History and Concepts) | INT 111 | Overview of the main engineering disciplines thus helping them make the right choice regarding the future careers, history and the concepts of the main engineering disciplines, and mini projects those are relevant to these engineering disciplines. | 3 |
| Engineering History Electives: (History of Architecture and Contemporary City) | INT 112 | Introduction to the history and context of cities and urbanization, building types used in world architecture spanning history of engineering, art and science of monuments from pre-history up until the Greco-Roman times, knowledge of significant structures and buildings in this period, built environment and the socio-cultural dimensions that shape cities, the roles of architecture, urban design and urban planning in shaping the city, terms that help read the city, tools applied to shape the city, challenges and opportunities of cities, urban metrics, trends, and issues associated to urbanization. | 3 |
| Engineering History Electives: (Energy and Environment) | INT 113 | Energy Sources and Technologies: An overview of different energy sources and technologies, including fossil fuels, renewable energy sources (such as solar, wind, hydroelectric, and geothermal), nuclear energy, and emerging technologies. Introduction to Environmental Engineering: An overview of the role of environmental engineering in addressing environmental challenges, including pollution control, water and wastewater treatment, air quality management, solid waste management, and environmental remediation. | 3 |
| Selected Topics in Entrepreneurship | EBS 111 | Introduction to the entrepreneurial activity, Survival and growth of small and medium enterprises (SMEs), the managerial aspects of SMEs compared to large firms, the benefits and drawbacks of being an entrepreneur, developmental structures and designs, focus development, management during fast growth periods, lack of resources and financing, development of sustainable intangible resources (legitimacy, status, reputation, etc.), ownership, governance and management, succession planning, generational gaps, delegation and control and the role of non-family members, and challenges faced by family businesses. | 3 |
| Humanities and Social Sciences Electives | HUM E1 | This course is an elective course in one of these tracks. - (HUM111) In Critical Thinking and Ethics, developing a broad understanding of logical and critical thinking method; linking between science and society in daily lives, such as studying the characteristics of the method of scientific inquiry and to give an overview of the role of scientific communities, applicable method for helping to develop a reliable persuasive method, ethical issues and problems that arise in professional and business environments, such as integrity, civic responsibility, ethical conduct and misconduct, employee and corporate rights and responsibilities, and on issues concerning social and economic justice in a global economy. - (HUM112) A course in any of the fields of Literature, Philosophy, Art, Music, or Sports. - (HUM113) A course in any of the fields of sociology, economics, education, history, anthropology, psychology, or geography. | 3 |
| Introduction to Programming | CMP 121 | Introduction to modern programming design techniques using C and C++. A study of basic programming constructs, techniques, and fundamental control structures, Object-Oriented and modular programming, data types, functions, arrays, and pointers, problem analysis, decomposition, and modern programming paradigms and methodologies. | 3 |
| Engineering Drawing | INT 121 | Geometric construction, sketching, orthographic projection, sectional drawing and geometric dimensioning, technical mechanical, architectural drawing and steel elements for structures, manual and computer-aided means of communication (manual drawing and AutoCAD) assemblies. | 3 |
| Analytical Geometry & Calculus I | MTH 111 | Concepts and theorems of differential calculus, elementary functions with emphasis on trigonometric, hyperbolic functions and their inverses, techniques of differentiation, limits, L'Hôpital's rule and indeterminate forms, the basic concepts of plane analytic geometry particularly conic sections, introduction to three-dimensional coordinate geometry and different coordinate systems, and introduction to functions of several variables and their partial derivatives, sequences, infinite series, convergence and divergence test for series, and power series expansion | 3 |
| Calculus II | MTH 112 | Techniques of integration, definite and indefinite integrals, improper integrals, multiple integrals, applications of integration (finding the length of a plane curve, planar areas, areas of surfaces of revolution and volumes of revolution). Functions of complex variables and their derivatives, Complex integrals, Cauchy integral theorems. | 3 |
| Probability and Statistics | MTH 113 | Definition of statistical experiments, sample space, events, operations on events, combinatorial analysis (permutations, combinations and counting rules), definition of the probability, probability axioms, conditional probability, independence of events and Bayes theorem, definition of the random variable, discrete and continuous random variables, discrete probability distributions (binomial distribution, Poisson distribution, geometric distribution, hypergeometric distribution), continuous probability distributions (uniform distribution, normal distribution and exponential distribution), introduction and overview of statistics, data description using measures of central tendency, measures of dispersion, measures of position, sampling distribution, central limit theorem, interval estimation, confidence interval, and hypothesis testing. | 3 |
| Linear Algebra & Introduction to Machine Learning | MTH 214 | Finding the solutions of linear systems of equations by different methods, the concepts of matrices, vector spaces, inner product spaces, linear transformation, and orthogonality, the matrix function, the diagonalization process, eigenvalue problem, and modelling of different engineering applications related to machine learning. | 3 |
| Differential Equations | MTH 215 | Finding the solutions of ordinary differential equations (ODEs) by different ways using analytical techniques for linear first order and higher order ODEs and their simulations, time-frequency transformation, Laplace transform, Fourier transform, modelling of different dynamical engineering applications. | 3 |
| Engineering Mechanics I | PHY 121 | Fundamentals of mechanics, concept of equilibrium, free body diagrams, equations of equilibrium, different types of supports, reactions, forces in space, equivalent force-couple systems, 3D equilibrium of rigid bodies, Centroids, Second moment of area (moment of inertia), Analysis of simple trusses, method of joints, method of sectioning, kinematics of particles, planar rectilinear, curvilinear motion in Cartesians-coordinates, relative motions, Tangential-normal, radial-transverse components of acceleration, Kinetics of particles, Newton's second law of motion, Angular momentum, Principle of work and kinetic energy, conservation of energy . | 3 |
| Physics I | PHY 111 | Basic Dimensions, dimensional analysis, elasticity, tensile stress, shear stress, bulk stress, fluid Statics, hydrostatic pressure, Pascal's principle, Archimedes' principle, dynamics of ideal fluids, continuity equation, Bernoulli's equation, viscosity, oscillatory motion, simple harmonic motion, spring-mass system, planar, cylindrical, and spherical waves, wave propagation, sound waves, the nature of heat, the laws of thermodynamics, thermal expansion, kinetic theory of gases, ideal gases, molar specific heat, degrees of freedom, reversible and irreversible processes, thermal cycles, thermal engines and heat pumps | 3 |
| Physics II | PHY 112 | Electrostatics, electric charge, Coulomb's law, insulators and conductors, electrostatic field, electric flux, Gauss' law, electric potential, electrostatic potential energy, dielectrics and capacitances, electromotive force, electric current, resistance, Ohm's law, electric power, direct current circuits, Kirchhoff's laws, mesh analysis, magnetism, magnetic forces, sources of magnetic fields, Bio- Savart law, Ampere's law, induction, Faraday's law, Lenz's law, optics, wave nature of light, reflection and refraction, interference, diffraction. | 3 |
| Chemical Principles | CHM 111 | Wastewater treatment, Solid waste management, Chemical Reactions, Stoichiometry, Chemical reaction balancing, determining limiting reactant and percentage excess of the other reactants, Degree of conversion, finding the number of moles in the product stream, Combustion Reactions, Thermochemistry, Hess law, Chemical kinetics, Electrochemistry, Nernst equation, Energy Balance | 3 |
| Digital Logic Design | CMP 111 | Designing and verifying modern digital systems, Boolean algebra, Digital number systems and computer arithmetic, combinational and sequential logic design and optimization, Register-transfer design, Basic processor organization, Instruction set issues, Levels of abstraction and hardware description language methods, Computer-aided digital design software. | 3 |
| Electrical Circuits | ELE 211 | Electrical Circuits variables and elements, Simple resistive circuits, Analysis of electrical circuits, ohm's law, Kirchhoff's laws, series parallel equivalent, star delta transformation, source transformation, Network theorems: Mesh current method, Nodal voltage method, Thevenin's equivalent, Norton's equivalent, superposition principles. Sinusoidal steady state analysis, Phasor diagram representation, Applications of network theorems on alternating current circuits, Electric power in alternating current circuits, complex power calculations, power factor, circuits with nonlinear resistances, Transients in electrical circuits. | 3 |
| Discrete Mathematics | MTH 217 | Propositional Logic (logical operators, truth table, propositional equivalences, Translation), Predicate logic (quantification, nested quantifiers, equivalences, translation Inference rules), proofs (direct, by contraposition, by contradiction by cases), Set theory (set builder notation, subset, Cartesian product, power set, set identities), Functions (types, inverse, composition, ceil and floor functions), Sequence and Summation, Matrices (Introduction, matrix arithmetic, matrix multiplication, transpose, powers of matrices, zero one matrices), Integers (integers, division, division algorithm, modular arithmetic, primes, GCD, LCM), Mathematical Induction, Relations (properties, combining relations, representation, equivalence relation) | 3 |
| Data Structures & Algorithms | CMP 232 | Formal techniques for the design and analysis of algorithms, Mathematical theory and practical considerations of efficiency, Fundamental concepts of data structures and algorithms for representing and processing information; Linked lists, stacks, queues, directed graphs and trees, Analysis of algorithms, sorting, searching and hashing techniques, Mathematics foundation, Divided-and-conquer, Dynamic programming, Greedy method, NP-completeness complexity, Approximation algorithms, randomized algorithms, and backtracking algorithms, Advanced data structures including: Binary trees, Heaps, Priority Queues, and Huffman Coding Trees. | 3 |
| Computer Architecture | CMP 212 | Basic hardware structure of a programmable computer and the basic laws underlying performance evaluation, Designing the control and data path hardware for a processor, machine instructions execute simultaneously through pipelining and simple superscalar execution, Designing fast memory and storage systems, Design and simulation of a register transfer (RT) implementations in Verilog. | 3 |
| Introduction to Data Science | CMP 231 | Principles of Data Science, Basic tool and techniques of data handling, exploratory data analysis, data visualization, data-based inference, and data-focused communication, Fundamentals of Artificial Intelligence -- State space representation, uninformed search, and reinforcement learning, Data-driven decisions in their field of study, Applications related to Big Data, Neural Networks and Deep Learning, Computational techniques using Python. | 3 |
| Embedded Systems | CMP 313 | Various building blocks and principles behind embedded real- time systems, Integrated hardware and software aspects of embedded processor architectures, along, Real-time, resource/device and memory management, Interaction with devices (buses, memory architectures, memory management, device drivers), Concurrency (software and hardware interrupts, timers), Real-time principles (multi-tasking, scheduling, synchronization), Implementation trade-offs, Profiling and code optimization (for performance and memory), Embedded software (exception handling, loading, mode-switching, programming embedded systems), Skills in the design/implementation/debugging of core embedded real-time functionality. | 3 |
| Database Management | CMP 333 | Data models and database design, Modeling the real world: structures, constraints, and operations, the entity relationship to data modeling (including network hierarchical and object- oriented), Relational model, Tables Normalization, Structured Query Language, Use of existing database systems for the implementation of information systems. | 3 |
| Big Data Analytics | CMP 334 | Big Data framework using Hadoop and Spark, principles of HDFS, YARN, MapReduce, HBase, A distributed column-oriented database, Real-time data processing using Spark, Understanding parallel processing in Spark, and using Spark RDD optimization techniques and SparkML, Using Pig and Hive to process and analyze large datasets stored in the HDFS and to use Sqoop and Flume for data ingestion. | 3 |
| Artificial Intelligence | CMP 341 | Fundamentals of artificial intelligence (AI), Statistics, Uncertainty, Bayes networks, Problem-solving, Knowledge, Reasoning, Planning, Natural language, Understanding, robotics, and robot motion planning, Programming using AI language tools. | 3 |
| Machine Learning | CMP 342 | Introduction to machine learning, Statistical pattern recognition, Supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines), Unsupervised learning (clustering, dimensionality reduction, kernel methods), Learning theory (bias/variance trade-offs, practical advice), Reinforcement learning and adaptive control, Recent machine learning applications, such as robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing. | 3 |
| Data Mining and Analytics | CMP 435 | Introduction to data mining methods and applications, Basic concepts and tools for data mining, including data sources, data preprocessing, data cleaning tools, data warehouse, association, classification, and methods, Mainstream algorithms for data mining, Statistical modeling, and Popular tools for mining structured data, unstructured data, and specific data types such as time-series, social networks, multimedia, and Web data. | 3 |
| Ethics and Engineering Profession | EBS 451 | Comprehensive understanding of ethical considerations and responsibilities in the practice of engineering, ethical principles, dilemmas, and decision-making frameworks relevant to engineers and their role in society, Ethical theories and frameworks, Professional codes of ethics, Ethical considerations in engineering design, Ethical responsibilities in research and innovation, Professional responsibility and social justice. | 2 |
| Legislations | EBS 452 | Understanding of the legal frameworks, regulations, and policies governing environmental engineering practice, Intersection of engineering, law, and environmental policy, focusing on promoting sustainability, protecting public health, and ensuring compliance with environmental regulations, Introduction to environmental law and policy, Clean Air Act and air quality regulations, Clean Water Act and water quality regulations, Hazardous waste management and remediation, Environmental impact assessment, Renewable energy policies and incentives, Climate change law and adaptation strategies, Case studies and regulatory analysis | 2 |
| Project Planning and Management | EBS 442 | Principles, methodologies, and techniques to effectively plan, execute, and manage engineering projects, Real-world applications in engineering practice, Introduction to project management, Project initiation and planning, Project allocation, implementation and control, Scheduling and estimating, Developing approval process, including testing for alternatives; Project communication and teamwork, Project risk management, Resources selection, Post project evaluation, Project procurement and contracts, Project closure and lessons learned, Project management tools and software, Project Management Book of Knowledge (PMBOK), PERT, CPM. | 2 |
| Fluid Mechanics | MEC 221 | Fundamentals of fluid statics and dynamics, Conservation of mass, momentum, and energy in fixed and moving control volumes, Steady and unsteady Bernoulli's equation, Differential analysis of fluid flow, Dimensional analysis, and similitude, Laminar and turbulent flow, Boundary layers, Modeling different dynamic engineering applications based on the mathematical background. | 3 |
| Water Resources Engineering | ENV 211 | Basic principles of the hydraulics of open channel flows and solving open channels flow problems, Calculating changes in water surface profile, fundamentals of designing water resources related projects, Risk of hydrological events and magnitude of rainfall and runoff from a catchment, Generation, synthesis, and prediction of runoff hydrographs using unit hydrograph. | 3 |
| Earth Science | ENV 241 | Essential concepts of the physical and chemical properties of soils, Physical processes in Earth's major systems: the atmosphere, hydrosphere, lithosphere, and biosphere. Transport of materials---such as pollutants, nutrients, and sediments---within these natural systems, Fundamentals of geology, hydrology, atmospheric dynamics, and environmental interactions | 3 |
| Environmental Transport Processes | ENV 242 | Material and Energy balance analyses, Principles of mass transfer and pollutant transport in the natural and engineered environmental systems, Environmental process modelling for the various environmental systems, Analyzing fate and transport of pollutants in natural environmental and engineered systems, Analyzing and solving complex problems. | 3 |
| Water and Wastewater Treatment | ENV 312 | Fundamentals of wastewater analysis/characterization, Preliminary design and operation of unit processes in wastewater treatment, Physical, chemical, and biological principles in wastewater assessment and treatment, with a particular emphasis on water recycling and resources recovery, Characterization of surface water and groundwater, Selection and design of conventional and advanced unit processes for drinking water treatment, Sludge treatment and disposal | 3 |
| Environmental Engineering Lab (A) | ENV 313 | Practical applications and an understanding of theories which are related to typical topics in the areas of environmental engineering, measuring solutions pH, turbidity, acidity and alkalinity, measuring concentrations of different ions in water and wastewater for water quality analysis, determining some soil properties. | 1 |
| Environmental Engineering Lab (B) | ENV 314 | The aim of this course is to provide students with practical applications and an understanding of theories, which are related to typical topics in the areas of environmental engineering including Water hardness, Dissolved oxygen, Solids in sewage, Optimum Alum dosage, Monitoring PM and Measuring sound levels | 1 |
| Air Pollution Control Engineering | ENV 321 | Sources & effects of air pollutants on health and environment, air pollution control legislations, Meteorology to estimate air pollutants emission and evaluate air quality, Global environmental issues, Fundamental theories and practices for major air pollutant control devices | 3 |
| Environmental Biology and Microbiology | ENV 331 | General concepts of microbiology, microbial ecology, and their environmental applications, Cellular organization, metabolism, function, and biological interaction of key environmental microorganisms, Biology and microbiology of the natural environment and environmental engineering processes, Biological processes for breakdown, treatment, and management of various types of waste | 3 |
| Environmental Systems Analysis | ENV 343 | Human-environment interactions and environmental repercussions, human activities, Qualitative, quantitative and transdisciplinary analysis of environmental issues, air quality, water quality, waste, energy and resource management, Environmental risk assessment (ERA) and systems management strategies, Incorporating data science techniques to enhance analytical capabilities, Environmental assessment tools and methods including life cycle assessment (LCA), material flow analysis (MFA), strategic environmental assessment, cost-benefit analysis (CBA), Application of these concepts and methods/tools for the various environmental systems. | 3 |
| Solid and Hazardous Waste Management | ENV 432 | Solid and hazardous waste engineering principles and management issues, Municipal solid waste properties, generation, collection, management, recycling, treatment and disposal, Hazardous waste properties, generation, management, containment, treatment. | 3 |
| Environmental Impact Analysis and Monitoring | ENV 444 | Principles of an environmental impact assessment (EIA), Causes of impacts and the use of a formal EIA, EIA concepts and methodologies relating to social, engineering, and economic issues, Monitoring and developing follow-up procedures as well as options for designing these procedures, Simplified version of an Environmental Impact Statement. | 3 |
| Operating Systems | CMP 422 | Fundamental operating system principles, Overview of the components of an operating system, mutual exclusion and synchronization, Implementation of processes, Scheduling algorithms, Memory management and file systems. | 3 |
| Introduction to Parallel Computing | CMP 423 | Introduction to parallel computing for scientists and engineers, Shared memory parallel architectures and programming, Distributed memory, Message-passing data-parallel architectures, and programming. | 3 |
| Introduction to Computer Networks | CMP 451 | Fundamental concepts of data networks, Engineering principles of computer networks and integrated digital networks, Data networks overview, OSI layers, Data link protocol, Flow control, Congestion control, Routing, Local area networks (Ethernet, Token Ring and FDDI), Transport layer, Introduction to high-speed networks and Performance evaluation techniques. | 3 |
| Introduction to Cyber-Security | CMP 452 | Introduction to cybersecurity, hacking, social networks, privacy, cryptography, Legal aspects, Social implications, Password management, Digital forensics, Computer networking, Wireless security, and ethical issues, Protecting from various cybersecurity threats. | 3 |
| Deep Learning | CMP 443 | Fundamental principles and techniques in deep and reinforcement learning, Convolutional neural networks, Recurrent and recursive neural networks, Backpropagation algorithms, Regularization and optimization techniques for training such networks, Dynamic programming, Monte Carlo, and temporal difference, Function approximation reinforcement learning algorithms, Applications of deep and reinforcement learning, Active research topics in deep and reinforcement learning areas. | 3 |
| Introduction to Cloud Computing and IoT | CMP 424 | Cloud computing concepts from platforms and services to programming and infrastructure, Internet of Things (IoT) systems, Architecture, Technologies on each layer, Cloud converging technologies, Cloud frameworks, Service models, Virtualizations and different types of hypervisors, IoT components and architecture, Sensor and sensing technology, IoT platforms, Application of cloud and IoT. | 3 |
| Image Processing | CMP 425 | Image sampling and quantization, color, point operations, segmentation, morphological image processing, linear image filtering and correlation, image transforms, multi-resolution image processing, image compression, noise reduction and image restoration, general principles of image processing and practical projects. | 3 |
| Remote Sensing | CMP 414 | Basics of remote sensing, characteristics of remote sensors, remote sensing applications in academic disciplines and professional industries, image acquisition and data collection in the electromagnetic spectrum and data set manipulations. | 3 |
| Selected Topics in Data Engineering | CMP 437 | Reflects current trends and emerging technologies in data engineering | 3 |
| Hydro-informatics | ENV 415 | Collect, analyze, and manage water-related data, Key concepts: automated data collection, databases, data management, and web-based data access, Engaging in hands-on projects, Tackle real-world hydrology or water resource problems, Designing data models, Automating data processes. | 3 |
| Water Quality Modeling | ENV 416 | Fundamentals of water quality parameters and their significance, Mathematical modeling techniques, Integration of machine learning algorithms in predictive modeling and optimization, Case studies on pollutant transport and nutrient cycling, Use of simulation software and tools for water quality assessment | 3 |
| Introduction to GIS | ENV 417 | Principles of Geographic Information Systems, fundamentals of GIS; introduction to modern spatial data and structures; input of Geospatial data; functions of geographic information systems; spatial Analysis; coordinate transformation and map projection; interpolation techniques; relations between GIS and remote sensing; and applications of geographic information systems to a variety of environmental and geologic issues. | 3 |
| Air Quality Modeling | ENV 423 | Principles of air quality and its impact on health and environment, Machine learning techniques to predict air quality levels, Analyzing and interpreting air quality data, Practical solutions for air quality monitoring and management | 3 |
| Selected Topics in Environmental Engineering | ENV 451 | Reflects current trends and emerging technologies in environmental engineering | 3 |
| Sustainability: Society | ENV 445 | Major sustainability challenges from the perspectives of society, economy, and the environment, Stimulation of critical thinking, curiosity, and the ability to structure and synthesis knowledge through the lens of sustainability, Sustainability issues from different perspectives and at different scales, Concrete examples such as palm oil production, waste management, pollution & human consumption, and climate change, More sustainable world through choices and actions, as individuals, societies, nations, and as a global community. | 2 |
| Introduction to Sustainable Engineering | ENV 446 | Introduction to sustainability in various engineering disciplines, Overview of concepts of sustainability, principles, concepts, and applications of sustainable engineering, Interdisciplinary nature of sustainable engineering, Life cycle assessment (LCA), Sustainable Development Goals (SDGs), Design for environment (DFE) principles, Ethical, Social, and Regulatory Considerations. | 2 |
| Engineering Applications in Sustainable Design | ENV 447 | Economic, environmental and social aspects of sustainability for engineering design, streamlined life cycle assessments, EcoAudits, carbon/water/energy footprints, economic assessments | 2 |
| Energy Resources Engineering | ENV 448 | Practical application of renewable energy technologies, Energy and resource conservation and Project siting, Economics, Financing, Technical and engineering aspects, Regulatory issues, Energy storage, monitoring and verification, Advantages, limitations and potential of various energy sources, wind, solar, small-scale hydro, ground-source heat pumps, combined heat and power, biofuels, fuel cells, strategies and cost/benefit analyses employed by energy analysts to meet demand with clean energy production, proposal for a renewable energy project. | 2 |
| Selected Topics in Sustainability | ENV 449 | Reflects current trends and emerging technologies in sustainability | 2 |
| Numerical Methods | MTH 216 | Numerical methods used for solving linear algebraic equations and differential equations, numerical methods for performing differentiation, integration, and curve fitting, properties of some special functions. | 3 |
| Introduction to Mathematical Optimization | MTH 317 | Optimization problem formulation and terminology; Objective function; constraints; optimization variable; constrained and unconstrained optimization. Solution techniques using gradient based methods, penalty techniques are discussed. Formulation and solution of linear programming, non-linear programming. Algorithms are implemented in computer programs for problem solution. | 3 |
| Advanced Probability & Statistics | MTH 318 | Joint and conditional probabilities, correlation, independence, linear combinations of random variables. Essential statistical techniques: descriptive statistics, sampling distributions, data analysis, and parameter estimation, Central limit theorem, t-distribution, point estimates and confidence intervals of population mean and variance, and hypothesis testing will be explored in detail, linear regression, multiple linear regression, analysis of variance (ANOVA), modeling of complex engineering data, real-world engineering examples | 3 |
| Practical Training I | ENV 291 | A minimum of three weeks of practical training in off-campus sites is selected by the program. Students are required to submit a recognition letter from the site where they received their training, in addition, a report and a presentation are submitted as well. Course is a Pass/Fail course. | 0 |
| Practical Training II | ENV 392 | A minimum of three weeks of practical training in off-campus sites is selected by the program. Students are required to submit a recognition letter from the site where they received their training, in addition, a report and a presentation are submitted as well. Course is a Pass/Fail course. | 0 |
| Graduation Project I | ENV 493 | Application-oriented capstone project to show competence in major academic area, where an independent research project is conducted under the guidance of a school member in the DEE program. The research should contribute to the advancement of knowledge in the field. A written report and formal presentation are required | 3 |
| Graduation Project II | ENV 494 | Show competence in the major academic area, where an independent design/management project is conducted under the guidance of a school member in the DEE program. The design/management project should contribute to the advancement of knowledge in the field by utilizing computer software such as finite element packages for structural analysis and Primavera project planner for construction management. Professional drawings, calculation sheets, written report, and formal presentation are required depending on the project nature. | 3 |
| Introduction to Mechanical Engineering | MEC 211 | Basics concepts of thermodynamics, conversion of heat to mechanical work, Properties of pure substance, 1^st^ law of thermodynamics for open and closed systems, 2^nd^ law of thermodynamics, entropy and entropy change. Introduction to the concept of heat transfer, Conduction heat transfer, steady state heat conduction, transient heat conduction, conduction in fins. Conduction with melting/solidification, introduction to convection, forced and free convection. | 3 |
| Electronic Circuits | ELE 221 | Basic semiconductor concepts: energy bandgap, E-K diagram, intrinsic/extrinsic semiconductors, doping, carriers, drift/diffusion currents, and PN junction behavior. Devices: diodes, BJTs, JFETs, MOSFETs. Circuits: biasing, small signal analysis, amplifiers, Op-amps, feedback | 3 |
| Electromagnetic Fields | ELE 222 | Vector analysis, Coulomb's law, Electric field intensity, Electric flux, Gauss's law, Divergence, Electric energy and potential, Electric conductors, Electrical resistance, Dielectric materials, Electrical capacitance, Poisson's equation, Laplace's equation. Steady magnetic fields, Ampere's law, Magnetic forces, Magnetic materials, Magnetic circuits, Inductance. Time varying magnetic fields, Maxwell's equations. | 3 |
| Power Electronics for Energy Systems | ELE 312 | Focuses on applying power electronics to modern energy systems, covering power semiconductor devices, converters, and renewable energy integration. It includes energy storage systems, grid interfacing, smart grids, and control of inverters and rectifiers. Practical applications in microgrids, electric vehicles, and HVDC systems are explored, emphasizing sustainable and energy-efficient solutions. | 3 |
| Electrical Power Engineering | ELE 313 | Introduction to electric power system, Application of high voltage in electric power system, Overhead transmission lines: Parameter calculation, Modeling, Performance, Mechanical design, Electric power distribution, Underground cables, Determination of faults in underground cables, Design of electrical distribution systems, Insulated electrical cables, Generation of high voltage, High-voltage measurement, Electric insulation types, Corona, Earthing and safety, Introduction to power system planning | 3 |
| Signals and Communication Systems | ELE 323 | Classification of signals, Basic operations on signals, Systems and their properties and relation with impulse response, Linear Time- Invariant (LTI) systems, Convolution integral and convolution sum, Fourier Analysis: Continuous-time Fourier series (CTFS), continuous-time Fourier transform (CTFT), discrete-time Fourier series (DTFS), discrete-time Fourier transform (DTFT), Applications. Introduction to communication systems. Basic concepts of communication. Analog modulation techniques: AM (SSB, DSB-SC), FM, and PM. Multiplexing techniques: TDM and FDM. Nyquist theorem, digital modulation techniques: ASK, applications. | 3 |
| Electric Machines | ELE 331 | Electromagnetic field basics in electromechanical devices, transformer action (Faraday's law), motor action, and generator action. It covers DC machines (construction, operation, efficiency, and types of motors and generators), transformers (single and three-phase operation, efficiency, and connections), and AC machines (synchronous and induction motors, construction, and equivalent circuits, special machines and foundational principles for diverse applications in electrical systems. | 3 |
| Automatic Control Systems | CMP 314 | Introduction to control systems: terms, concepts and examples, frequency and time-domain analysis, block diagram, representations of control system, feedback and its effects, disturbance and sensitivity analysis, steady-state error analysis, time domain analysis, stability analysis, root locus analysis, Tuning of PID controller, state space representation. Applications in electric power systems. | 3 |
| Solar Energy | ELE 341 | Solar Radiation, Solar Intensity calculation on Earth, Availability/ Usability of Solar Energy, Measuring Solar Intensity, Direct/Diffuse Radiation, Ground reflection, Solar Angles, Shades, Time Equation, Incidence Angle on Horizontal and Inclined Surfaces, Flat Plate Collector theory, Glass Transmission, Heat Loss Calculations, Collector Performance, Solar Energy Concentrators, Point and Line Concentrators, Cylindrical Trough, Parabolic Trough, Parabolic Dish, Central Receiver, Heliostat, Heliostat Optimum Placement, Sun Beam Tracking, Shadowing/Blocking, Concentration Ratios, Fresnel Lens, Thermal performance, Heat Transfer Coefficients, Receiver Efficiency. | 3 |
| Wind and Hydro Energy | ELE 342 | Introduction to Wind Energy, Wind Speed Classification, Wind Data and Wind Rose, Statistical Analysis of Wind Data, Types of Wind Turbines, Instrumentations Used for Operating Wind Data, Construction Details of a Wind Turbine, Wind Turbine Control Schemes, Estimation of Wind Power, Betz' Theorem, Blade Element Theory, Translating Wind Power Machines, Horizontal-Axis Wind Turbines, Wind Energy for Water Pumping. Water Turbines: Theory, Impulse Turbines, Reaction Turbines, Application, Construction, Components, Cavitation, Energy Calculation and Performance. Hydro-Electric Plants. | 3 |
| Energy Lab (A) | ELE 351 | Practical applications and an understanding of theories, which are related to typical topics in the areas of Power Electronics and Electric Machines, Line Commutated Converter and self-commutation static converters, Converter drives with dc motors by using of thyristors and diodes modules, drives with three-phase asynchronous motor for frequency converter, Converter drives with dc motors by using of IGBT | 1 |
| Energy Conversion and Storage | ELE 353 | Fundamentals of energy storage, basic principles of enthalpy and entropy, and chemistry, different electrochemical storage platforms, thermal energy storage, evaluation of the working of heat pumps, various bioenergy platforms, efficiency of conversions to different fuels, hydrogen value chain, other storage alternatives relating to pumped and mechanical storage and superconductors, system integration from a sustainability perspective. | 3 |
| Sustainable Smart Cities | ELE 262 | State-of-the-art technology for smarter use of social and environmental resources enhancing the cities competitiveness, livability, sustainability, innovation and inclusiveness, Topics and trends in sustainable and smart cities and connected communities, Role of information in the design of network resources and impact on urban design, development and urban living, A group project comparing many cities across the world in various dimensions with rating of smartness. | 2 |
| Climate and Energy Policy | ELE 263 | Energy and climate landscape, project economics, energy sources and technologies, energy demand, environmental and health impacts, power system analysis, energy transition strategies, energy efficiency, sustainable consumption, climate justice, big data and AI for climate change, Model limitations. Emerging topics relevant to energy systems, carbon neutrality, comprehensive understanding energy and climate policy essentials, energy transition landscape, policy frameworks and analytic tools to achieve the energy transition. | 2 |
| Planning for Sustainability | ELE 264 | Concept of sustainable development for cities and urban regions, variety of contemporary urban planning issues through the sustainability lens, Ways to coordinate goals of environment, economy, and equity at different scales of planning, including the region, the city, the neighborhood, and the site. | 2 |
| Selected Topics in Sustainability | ELE 268 | Reflects current trends and emerging technologies in sustainability | 2 |
| Practical Training I | ELE 291 | A minimum of three weeks of practical training in off-campus sites is selected by the program. Course is a Pass/Fail course. | 0 |
| Practical Training II | ELE 392 | A minimum of three weeks of practical training in off-campus sites elected by the program. Course is a Pass/Fail course. | 0 |
| Industrial Electronics & Drives | ELE 423 | DC amplifiers, Darlington Emitter Follower, regulated power Supplies, principles of operation and characteristics of SCR, triggering of thyristors, commutation techniques of thyristors, Fundamentals of electric drives, separately excited dc motor drives using controlled rectifiers, chopper-controlled dc drives, ac voltage controllers, three phase induction motor speed control, VSI and CSI fed induction motor drives, synchronous motor drives. This will help students to be able to select a drive for a particular application. | 3 |
| Engineering of Nuclear Systems | ELE 443 | Nuclear Power Introduction and Reactor Physics Review, Engineering design of nuclear power plants, light-water reactor technology, thermal limits in nuclear fuels, thermal-hydraulic behavior of the coolant, nuclear safety and dynamic response of nuclear power plants. | 3 |
| Power Plants | ELE 444 | Electric Energy Demand. Electric Energy Sources- Power Plant Economics- Selection of Plant Location and Size- Gas Turbine, Thermal, Hydro-Electric and Nuclear Power Stations- Economic Operation of Steam Plants- Thermal Coordination- Major Electrical Equipment in Power Plants. | 3 |
| Biomass and Waste Conversion Technology | ELE 445 | Characterization of Waste, Types of Biomass, Biomass Properties, Pre-Treatment of Biomass, Thermo-Chemical Processes, Fast and Slow Pyrolysis, Gasification, Transesterification, Design of Gasifiers, Drying and Devolatilization, Heat and Mass Transfer across Small and Large Biomass Particles, Combustion, Chemical Kinetics, Types of Reactors, Incinerators, Bio-Chemical Conversion, Anaerobic Digestion and Fermentation, Operation of Biomass Boilers and Stoves, Use of Bio-Fuels in Internal Combustion Engines and Gas Turbines, Emissions, Cost Considerations | 3 |
| Selected Topics in Energy Engineering | ELE 448 | Reflects current trends and emerging technologies in energy engineering | 3 |
| Energy Lab (B) | ELE 452 | Practical applications and an understanding of theories, which are related to typical topics in the areas of Energy engineering, Solar, Wind and Hybrid energy systems | 1 |
| The Economics of Energy Generation | ELE 454 | Load curves, Variation in demand, Load diversity. Power plant layout, Main equipment, Auxiliaries, Bus-bar arrangements. Power plant economics: Capital cost, Operating cost, Fixed charge rate, Selection of plant and size and unit size, Operation and economics of spinning reserve, economic analysis of a transmission system, tariffs, power factor, all-thermal generation allocation problem, hydro-thermal coordination, new energy resources. Transmission access fees assessment and calculations | 3 |
| Green Hydrogen Fundamentals | ELE 455 | Fundamental knowledge of green hydrogen: Liquid and compressed hydrogen, Hydrogen production, Hydrogen storage and conversion, Hydrogen Safety, Hydrogen for mobility applications & vehicles, Hybrid Energy Systems, Future of Hydrogen. | 3 |
| Electric Vehicles Technology | ELE 456 | Electric vehicles: configurations, performance, energy consumption. Hybrid electric vehicles: architectures of drivetrains, series and parallel designs. Electric propulsion systems. Power sources and energy storage. Regenerative braking. Fuel cells: operation principles, hybrid electric drivetrain. | 3 |
| Smart Grids and Distribution Networks | ELE 457 | Smart grids; Intelligent Distribution Networks; Renewable Energy; Distributed Generation; DG Integration; Solar; Wind; Energy Storage Technologies; Demand Side Management; Load Management; Conservation Voltage Reduction; Demand Pricing; Time of Use; Real/Peak Time Pricing; FDIR; Reactive Power Optimization; Volt-Var Optimization; Distribution Automation; Advanced Asset Management; Electric Vehicles; Smart Meters; Advanced Measuring Infrastructure; Distribution Management Systems; Smart Grid ICT; Common Information Model; Cyber-Security; Wide Area Measurement Systems; Smart Grid Communications; SCADA; SG costs; Markets; Ancillary Markets; Substation Automation; standards. | 3 |
| Power Systems Analysis | ELE 461 | Per unit systems, Symmetrical Components theory, short circuit current characteristics, Symmetrical and unsymmetrical shunt and series faults, Power flow studies and analysis, P-d curve of power system, Stability study using equal area criterion, Computer programs. | 3 |
| Graduation Project I | ELE 493 | Application-oriented capstone project to show competence in major academic area, where an independent research project is conducted under the guidance of a school member in the program. The research should contribute to the advancement of knowledge in the field. A written report and formal presentation are required | 3 |
| Graduation Project II | ELE 494 | Application-oriented project to show competence in the major academic area, an independent design/management project is conducted under the guidance of a school member in the program. The design/management project should contribute to the advancement of knowledge in the field by utilizing computer software such as finite element packages for structural analysis and Primavera project planner for construction management. Professional drawings, calculation sheets, written report, and formal presentation are required depending on the project nature. | 3 |