PhD Electrical Engineering

The PhD program in Electrical Engineering is a program that prepares those students who seek further roles and advanced positions in the field of electrical engineering. They are also prepared to face challenges in the field so that they can become a better leader.

Research based projects helps in the electrical engineering program by facilitating the candidates with engineering concepts and disciplines, many of which they have been unaware of. It also develops a habit of conducting extensive research in the subject to help in the improvements of the processes like designing, developing, testing and even supervising in the field of electrical engineering.

 

What will you learn from this course

Through this PhD program you will be able to do the following

  • You will work on research based project.
  • You will able to apply engineering principles within and outside the classroom
  • Develop skill set relevant to employers need
  • Students are able to take leadership roles and move up the career ladder more quickly
General studies
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Information Research Strategies 2 Introduction to information research including electronic resources. This course is designed to help researchers locate, evaluate, and use information. It includes exploration of the research process, search strategies, locating resources, source documentation, and organization of research.
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Statistical Modeling and Analysis for Complex Data Problems 2 reviews some of today’s more complex problems, and reflects some of the important research directions in the field. Work in areas of theoretical statistics, applied statistics, probability theory, and shastic processes – present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.
Optimal Experimental Design 2 Introduces the philosophy of experimental design, provides an easy process for constructing experimental designs, calculating necessary sample size using R programs and teaches by example using a custom made R program package: OPDOE introduces experimenters to the philosophy of experimentation, experimental design, and data collection. It gives researchers and statisticians guidance in the construction of optimum experimental designs using R programs, including sample size calculations, hypothesis testing, and confidence estimation. A final chapter of in-depth theoretical details is included for interested mathematical statisticians.
Mathematical Modeling 2 complete range of basic modeling techniques: it provides a consistent transition from simple algebraic analysis methods to simulation methods used for research. Such an overview of the spectrum of modeling techniques is very helpful for the understanding of how a research problem considered can be appropriately addressed.
Research Methods and Design 2 Learners gain a thorough understanding of statistical tests appropriate to their dissertation topic and design, how to interpret the results of the tests and how to conduct follow-up analyses, as appropriate. This course includes guidelines and "best practices" for collecting data. Power analysis, what it is, why do it, and how to use available software is covered. Data preparation, use of software to analyze data, and understanding the calculated results are covered. Experience with computer-based statistical analysis techniques is stressed. Emphasizes what is applicable to the Learner’s proposed research questions, design, construct/variable definitions and properties of measurements. Satisfactory/Unsatisfactory grade only.
Dissertation Planning, Writing, and Defending 2 step-by-step through the dissertation process, with checklists, illustrations, sample forms, and updated coverage of ethics, technology, and the literature review.
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Test Engineering Fundamentals 2 Fundamental concepts of testing electrical or mechatronic devices are presented. Topics include design for testability, test economics and product quality, fault models, functional and statistical techniques, IC parametric tests, boundary scans, built-in self tests, and board level design for testability.
Electronic Manufacturing 2 Emphasizes fundamentals of signal transmission theory, digital circuit design, the role of packaging in circuit performance, and PCB manufacturing.
EMC Test Engineering Fundamentals 2 Introduction to concepts and methodologies used in Electromagnetic Compatibility conformance testing. Course will explore common design flaws that result in EMC issues as well as industry standard test methods used to uncover those flaws.
Digital Hardware Testing 2 The course emphasizes fundamentals of digital hardware design for testability, faults in digital circuits, fault simulation and test generation, memory testing, testing of sequential circuits, microprocessor testing, digital circuit design, the role of packaging in circuit performance and PCB manufacturing.
Optical System Design and Testing 2 The fundamental concepts of optical system design and testing are presented at the moderate level. Simulation tools for modeling a broad range of optical components are designed to enhance the learning process. Laboratory experiments are intended to provide hands-on experience.
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Statistical Processing Of Radar, Sonar, And Optical Signals 3 Concerned with problems in statistical processing of Radar, Sonar and optical signals including model order selection, parameter estimation, power spectral density estimation, signal detection and classification. It is proved that the exponentially embedded families (EEF), which is a recently proposed model order selection criterion, is consistent. It is also found in computer simulations that the EEF works well in difficult situations.
Optical Fiber Communications 3 Presents the fundamental principles for understanding and applying optical fiber technology to sophisticated modern telecommunication systems as optical-fiber-based telecommunication networks have become a major information-transmission-system, with high capacity links encircling the globe in both terrestrial and undersea installations. Numerous passive and active optical devices within these links perform complex transmission and networking functions in the optical domain, such as signal amplification, restoration, routing, and switching. Along with the need to understand the functions of these devices comes the necessity to measure both component and network performance, and to model and stimulate the complex behavior of reliable high-capacity networks.
Low-Power High-Resolution Analog to Digital Converters 3 Focus on: i) improving the power efficiency for the high-speed, and low spurious spectral A/D conversion performance by exploring the potential of low-voltage analog design and calibration techniques, respectively, and ii) development of circuit techniques and algorithms to enhance testing and debugging potential to detect errors dynamically, to isolate and confine faults, and to recover errors continuously. The feasibility of the described methods has been verified by measurements from the silicon prototypes fabricated in standard 180nm, 90nm and 65nm CMOS technology.
Digital Filters: Basics and Design 3 Gives a substantial insight into the characteristics and the design of digital filters. It briefly introduces to the theory of continuous-time systems and the design methods for analog filters. Time-discrete systems, the basic structures of digital filters, sampling theorem, and the design of IIR filters are widely discussed. The author devotes important parts to the design of non-recursive filters and the effects of finite register length.
Electricity from Renewable Resources 3 Examines the technical potential for electric power generation with alternative sources such as wind, solar-photovoltaic, geothermal, solar-thermal, hydroelectric, and other renewable sources. The book focuses on those renewable sources that show the most promise for initial commercial deployment within 10 years and will lead to a substantial impact on the U.S. energy system.
Electromagnets 3 Covers Electrostatic Field in Free Space, Dielectrics, Capacitance, and Electric Energy, Steady Electric Currents, Magnetostatic Field in Free Space, Magnetostatic Field in Material Media, Slowly Time-Varying Electromagnetic Field, Inductance and Magnetic Energy, Rapidly Time-Varying Electromagnetic Field, Uniform Plane Electromagnetic Waves, Reflection and Transmission of Plane Waves, Field Analysis of Transmission Lines, Circuit Analysis of Transmission Lines, Waveguides and Cavity Resonators and Antennas and Wireless Communication Systems.
Electro-Mechanical Modeling of Charged Particulate Systems 3 Fundamental understanding on the collective behavior of particulate systems under combined electro-mechanical loading environments is sought in several interdisciplinary applications. A few examples are,in the design of electrostatic granular valves, piezoelectric powder compacts/sensors, electromechanical separators for minerals and ores, powder injectors, and microbial particulate fuel cells . The developments in micro/nano technologies are pushing the limits of miniature particulate fabrications by designing particle interfaces with enhanced functionalities.
Operational Amplifiers 3 Presents a systematic circuit design of operational amplifiers, Containing state-of-the-art material as well as the essentials, covers both the circuit designer and the system designer. It is shown that the topology of all operational amplifiers can be divided into nine main overall configurations. These configurations range from one gain stage up to four or more stages. Many famous designs are evaluated in depth and includes systematic design of µV-offset operational amplifiers and precision instrumentation amplifiers by applying chopping, auto-zeroing, and dynamic element-matching techniques. Also, techniques for frequency compensation of amplifiers with high capacitive loads have been added.
Introduction to Subsurface Imaging 3 Describing and evaluating the basic principles and methods of subsurface sensing and imaging, Introduction to Subsurface Imaging is a clear and comprehensive treatment that links theory to a wide range of real-world applications in medicine, biology, security and geophysical/environmental exploration. It integrates the different sensing techniques (acoustic, electric, electromagnetic, optical, x-ray or particle beams) by unifying the underlying physical and mathematical similarities, and computational and algorithmic methods. Time-domain, spectral and multisensor methods are also covered, whilst all the necessary mathematical, statistical and linear systems tools are given in useful appendices to make the book self-contained. Featuring a logical blend of theory and applications, a wealth of color illustrations, homework problems and numerous case studies, this is suitable for use as both a course text and as a professional reference.
Computer Architecture 3 Focuses on this dramatic shift, exploring the ways in which software and technology in the cloud are accessed by cell phones, tablets, laptops, and other mobile computing devices. Each chapter includes two real-world examples, one mobile and one datacenter, to illustrate this revolutionary change.
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Concept Paper 2 Ethical issues in research are studied and the Learner evaluates the research plan developed in modules RSH8951-RSH8953 against accepted ethical principles and practices in the field. The material developed in the modules is integrated into a summarizing document called the Dissertation Research Proposal. The proposal is comprised of Chapter I (Introduction), Chapter II (Literature Review), and Chapter III (Methodology). The Learner develops the Dissertation Research Proposal under the supervision of the faculty mentor, with a focus on the conceptual and methodological clarity of the research plan for the Learner’s dissertation topic. Once acceptable to the Learner and the faculty mentor, the draft of the Research Proposal is reviewed by the Learner’s Dissertation Committee and the University’s Ethics Committee. Satisfactory/Unsatisfactory grade only.
Doctoral Comprehensive Examination 2 Assures that the Learner has mastered knowledge of his or her discipline, specialization, and can demonstrate applications of that knowledge before formal candidacy status is granted and research in support of the dissertation is initiated. Satisfactory/Unsatisfactory grade only.
Doctoral Dissertation Research l 2 Continuation of RSH8954-P. The draft of the Dissertation Research Proposal is finalized and approved by the Learner’s Dissertation Committee and the University’s Ethics Committee. All steps necessary to begin data collection, including any necessary pilot testing, are completed. Candidates for the Ph.D. must maintain continuous enrollment. Satisfactory/Unsatisfactory grade only.
Doctoral Dissertation Research ll 2 Dissertation data are collected and analyzed. Candidates for the Ph.D. must maintain continuous enrollment. Satisfactory/Unsatisfactory grade only.
Doctoral Dissertation Research lll 2 the dissertation process is completed. The manuscript is prepared, accepted by the Learner’s Dissertation Committee, and the oral defense is conducted. Candidates for the Ph.D. must maintain continuous enrollment.