جامعة حائل - الكليات

Course description

The following section gives a brief description of the contents of the program courses.

General Course Description

MATH 513 Mathematical Methods for Engineers (5-0-5) (LT – LB - CR)

Laplace transforms including the convolution theorem، error and gamma functions. The method of Frobenius for series solutions to differential equations. Fourier series، Fourier-Bessel series and boundary value problems، Sturm-Liouville theory. Partial differential equations: separation of variables and Laplace transforms and Fourier integrals methods. The heat equation and wave equation. Eigenvalue problems for matrices and diagonalization.

Prerequisite: None.

EE 501 Stochastic Processes (5-0-5)

Review of fundamentals of probability، Sequences of random variables and convergence، Stationarity and ergodicity; second-order properties and estimation; Gaussian random processes، Poisson and renewal processes، Markov processes. Queuing Theory. Applications to communications and signal processing.

Prerequisite: None

GS 502 Research Methods (5-0-5)

The main focus will be on helping students understand the basic concepts of research as well as the different research paradigms and their implications for doing research. Another focus will be on assisting students in developing the ability to effectively prepare a research proposal and write a research thesis. The course will address the process of defining appropriate research problems, formulating research questions and objectives, techniques for reviewing literature, methods of data collection and analysis, methods for assessing and improving the validity and reliability of data and measures, guidelines for writing and defending a thesis, and the ethics of scientific research. Delivery methods used in this course will integrate active and experiential activities in the teaching and learning process.

EE 503 Applied Computer Simulations for Electrical Engineering (5-0-5)

Introduction to system modeling، Principles of computer simulations; Random number generators and Monte Carlo simulation، Simulation approaches using general purpose packages، like Matlab، PSPICE and MultiSim، Continuous system simulation، Discrete system simulation، Simulation examples of electrical engineering systems.

Prerequisite: None

QEM 512 Project Management (5-0-5)

Project Management is the application of management principles to deliver a project in accordance with predetermined objectives for time, cost & quality. This course will consider these principles in the management of all types of engineering project, with respect to the project’s life-cycle, the parties involved, planning, estimating, team and people management, contract strategy, contractor selection and contract management. The course offers a practical approach to managing projects, focusing on organizing, planning, and controlling the efforts of the project. At the end of the course, attendees will understand why project management requires a high degree of professionalism, and how to achieve that end in future projects.

Prerequisite: None

Graduate Courses Description

EE 520 Advanced Power System Analysis (5-0-5) (LT – LB - CR) Steady state modeling and simulation techniques. Large-scale power systems. Sparsity programming. Short-circuit and load-flow studies. Introduction to transient stability. Introduction to state estimation.

Prerequisite: None

EE 521 Power Systems Operation and Control (5-0-5)

Power system control (load frequency control، automatic generation control، reactive power and voltage control)، introduction to optimization techniques، power system state estimation، contingency analysis، power system security، voltage stability

Prerequisite: None

EE 522 Power System Dynamic Analysis (5-0-5)

Dynamic model of synchronous machines. Excitation and governor systems. Nonlinear and linear modeling of single machine infinite bus systems. Stability analysis and control design. Direct method of stability determination. Multi-machine system modeling. Power system dynamic equivalents.

Prerequisite: EE 520

EE 523 Power System Steady State Analysis (5-0-5)

Steady state modeling and simulation techniques. Large-scale power systems. Sparsity programming. Short-circuit and load-flow studies. Introduction to transient stability. Introduction to state estimation.

Prerequisite: None

EE 524 Power System Planning (5-0-5)

Mathematical methods and modern approaches to power system planning. Demand forecasting. Generation system planning: deterministic and probabilistic methods. Transmission system planning: heuristic and stochastic methods. Optimization methods for transmission planning. Route selection: environmental and other considerations. Distribution system planning: system layout، and choice of components