Course will also discuss industry-standard network security protocols at application, socket, transport, network, VPN, and link layers, popular network security tools, security, performance modeling and quantification and network penetration testing. Discussion will be based on development of system level models and simulations of networked systems. Cyber Defense Fundamentals. This course focuses on cybersecurity theory, information protection and assurance, and computer systems and networks security.
The objectives are to understand the basic security models and concepts, learn fundamental knowledge and tools for building, analyzing, and attacking modern security systems, and gain hands-on experience in cryptographic algorithms, security fundamental principles, and Internet security protocol and standards.
Offered fall Prerequisites: permission of the instructor. Pre- or corequisite: ECE or permission of the instructor. Cyber Physical System Security. The objectives of this course are to learn the basic concepts, technologies and applications of CPS, understand the fundamental CPS security challenges and national security impact, and gain hands-on experience in CPS infrastructures, critical vulnerabilities, and practical countermeasures.
Offered spring Prerequisites: ECE or permission of the instructor. It provides advanced methods of digital circuit design, specification, synthesis, implementation and prototyping. It introduces practical system design examples. Offered spring Prerequisites: ECE Computer Architecture. An introduction to computer architectures.
Important concepts include datapaths, computer arithmetic, instruction cycles, pipelining, virtual and cache memories, direct memory access and controller design. Introduction to Computer Vision. Overview of digital image processing including visual perception, image formation, spatial transformations, image enhancement, color image representation and processing, edge detection, image segmentation, and data processing method for computer vision applications.
Hand-on projects will be introduced to better understand computer vision applications. Machine Learning provides a practical treatment of design, analysis and implementation of algorithms, which learn from examples. Topics include multiple machine learning models: linear regression, logistic regression, neural networks, support vector machines, deep learning, Bayesian learning and unsupervised learning.
Students are expected to use popular machine learning tools and algorithms to solve real data engineering problems. Communication Systems.
Fundamentals of communication systems engineering. Modulation methods including continuous waveform modulation amplitude, angle. Design and analysis of modulation systems and performance in the presence of noise. Communication simulation exercises through computer experiments. Introduction to Wireless Communication Networks. Introduction to current wireless network technologies and standards.
The radio frequency spectrum and radio wave propagation models pathloss, fading, and multipath. The radio link and link budgets. Modulation, diversity, and multiple access techniques. Wireless network planning and operation. Covers the electrical properties of cells and tissues as well as the use of electrical and magnetic signals and stimuli in the diagnosis and treatment of disease.
Typical topics to be covered include basic cell physiology, endogenous electric fields in the body, electrocardiography, cardiac pacing, defibrillation, electrotherapy, electroporation, electrotherapy in wound healing. In addition, ultrashort electrical pulses for intracellular manipulation and the application of plasmas to biological systems will be covered.
Network Engineering and Design. This course is an extension of ECE into a semester long project. Emphasis is on gaining an understanding of networking design principles that entails all aspects of the network development life cycle. Analysis of sampled data involving use of probability density function, mean and standard derivations, correlations, and the power spectrum. Automatic Control Systems. Analysis and design of control systems as found in automobiles and aircraft, autonomous vehicles, robots, and many other engineering systems.
Time and frequency domain techniques such as root locus, Bode, Nyquist and state space techniques are utilized together with computer-aided analysis and design. Offered fall Prerequisites: ECE Offered fall Prerequisites: Senior standing.
Foundations of Cyber Security. Course provides an overview of theory, tools and practice of cyber security and information assurance through prevention, detection and modeling of cyber attack and recovery from such attacks.
Techniques for security modeling, attack modeling, risk analysis and cost-benefit analysis are described to manage the security of cyber systems. Fundamental principles of cyber security and their applications for protecting software and information assets of individual computers and large networked systems are explored. Anatomy of some sample attacks designed to compromise confidentiality, integrity and availability of cyber systems are discussed.
Introduction to Solar Cells. This course is designed to provide the fundamental physics and characteristics of photovoltaic materials and devices. Plasma Processing at the Nanoscale. The science and design of partially ionized plasma and plasma processing devices used in applications such as etching and deposition at the nanoscale. Gas phase collisions, transport parameters, DC and RF glow discharges, the plasma sheath, sputtering, etching, and plasma deposition.
Solid State Electronics. The objective of this course is to understand basic semiconductor devices by understanding semiconductor physics energy bands, carrier statistics, recombination and carrier drift and diffusion and to gain an advanced understanding of the physics and fundamental operation of advanced semiconductor devices. Optical Fiber Communication. This course introduces seniors and first year graduates to the physics and design of optical fiber communication systems.
The topics covered are: electromagnetic waves; optical sources including laser diodes; optical amplifiers; modulators; optical fibers; attenuation and dispersion in optical fibers; photodetectors; optical receivers; noise considerations in optical receivers; optical communication systems.
Embedded Systems. This course covers fundamentals of embedded systems: basic architecture, programming, and design. Topics include processors and hardware for embedded systems, embedded programming and real time operating systems. ECE W. Computer Engineering Design I. Emphasis is on the design of a complex digital circuit and microcontroller interfacing.
A semester-long project involves the design, simulation and testing of a digital architecture and software GUI. Several moderate scale digital modules are designed, simulated, implemented and tested during the semester. Design methods incorporate CAD design tools, implementation with advanced integrated circuit technology and contemporary software tools. Oral and written communication skills are stressed. This is a writing intensive course. Electrical Engineering Design I.
Part one of the senior capstone design experience for electrical engineering majors. Lectures focus on providing professional orientation and exploration of the design process. Small group design projects focus on the development of electronic subsystems. The course is the preparatory, proposal development section of part two of the senior capstone design experience for electrical and computer engineering majors. The course will focus on developing a proposal for a group design project. Elements of developing a successful proposal are emphasized along with written communication skills.
Industry-sponsored multi-disciplinary design projects are an option. Prerequisites: senior standing. Part two of the senior capstone design experience for electrical and computer engineering majors. In this course, students will implement the design proposal developed in ECE Oral and written communication skills are emphasized.
Part three of the senior capstone design experience for electrical and computer engineering majors. Individual and group design projects focus on the development of complete electrical and computer systems.
Microelectronics Design Experience. This is a Virginia Microelectronics Consortium VMEC practical hands-on, state-of-the-art summer research internship experience in the laboratory. This is not a regular class, but a summer research internship open only to those undergraduate students who apply for and win a VMEC Summer Research Scholarship.
The VMEC internship provides excellent technical knowledge as well as industrial and academic contacts for career development. Details regarding eligibility and report requirements are available in the department during fall with application deadline of October 30 each fall.
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Additional Graduate Degrees Policy Graduate students may pursue two graduate degrees concurrently at Old Dominion University, provided that they have been admitted to both degree programs.
Policy on Nondegree Credits to Complete a Degree No more than 12 credit hours of graduate-level course work taken at Old Dominion University as a nondegree student may be applied toward a graduate degree or certificate. Graduate Writing Proficiency Each graduate department or program will develop specific policies and procedures for evaluating and, if necessary, upgrading student writing. Readmission to the Institution Following Separation or Dismissal Graduate students readmitted to the University following eight or more continuous years of separation or dismissal may apply to have all previous course grades and credits removed from the calculation of the GPA.
Change of Program A graduate student who wishes to change from his or her current program to a new program must make the request in writing to the Office of Graduate Admissions. Enrollment Status Full-Time Status A minimum of nine credit hours is considered to be a full-time course load for graduate students per fall and spring semesters.
Part-Time Status Graduate students who are registered for fewer than nine 9 credit hours during the fall or spring semesters or fewer than six 6 credit hours in the summer semester are classified as part-time graduate students. Requirements for International Students International students must comply with any regulations or conditions associated with their visa status, in addition to the requirements of this enrollment policy.
Submission of Written Work To More Than One Class In general, it is not acceptable for a piece of work such as a term paper to be submitted to more than one class for credit. Re-Validation of Out-of-Date Graduate Credit Academic credit granted outside the eight-year time limit established for graduate degrees or certificates must be re-validated by an examination before the work can be applied toward the requirements of a degree program. For courses older than ten years, the additional permission of the dean or his or her designee is required, or in the event that the dean or his or her designee represents the second level of approval, the additional permission of the provost or his or her designee is required.
The form for re-validation of out-of-date credit shall be used to record all transactions and must be submitted to the Office of the University Registrar upon completion of re-validation of work. Before the examination, the faculty member s shall inform the student of the area of knowledge or course content on which he or she is to be examined.
After the examination has been completed, the re-validation form shall be filled out, signed by the examining faculty member s , and forwarded to the dean of the academic college or his or her designee for approval, or in the event that the dean or his or her designee represents the second level of approval, the provost or his or her designee for approval. Copies of the completed form shall be sent to the student, the graduate program director, and the university registrar. Re-validation for any given course can be sought only once.
Suspension occurs when a student is unable to raise the GPA above 3. Separation occurs when a student withdraws voluntarily from a graduate program. Deactivation occurs when a student fails to register for three or more consecutive semesters without permission or an approved leave of absence. Dismissal may occur for a variety of academic reasons or for infractions committed against the Code of Student Conduct.
Reinstatement from Suspension Policy for Degree-Seeking Students A degree-seeking student who has been suspended from a graduate program may be reinstated under the following conditions: The student is responsible for initiating each of the following aspects of the request for reinstatement to the university: Providing to the GPD of the program that the student is seeking to either continue enrollment or to be newly admitted a written explanation and documentation of the factors and circumstances that contributed to the failure to achieve the academic standards as well as evidence that these issues have been resolved.
Students should also explain why they will subsequently succeed if reinstated. Moreover, students who wish to maintain confidentiality regarding special medical or other personal issues, must obtain a letter from the Office of Student Outreach Services SOS certifying their validity and contribution to the suspension and that these issues have been or will be satisfactorily resolved prior to the reinstatement.
Requesting the reinstatement within 45 calendar days of the suspension if the student is pursuing a grade appeal that may overturn the suspension, the grade appeal procedures are to be followed first until a decision is reached on that appeal; if the appeal is denied and suspension upheld, then the student has 45 calendar days to initiate a reinstatement request.
Developing a plan of study in consultation with the appropriate Graduate Program Director GPD of the program that the student is seeking to either continue enrollment or to be newly admitted. This plan should recognize that all prior courses in which grades of B- or less were earned must be repeated or replaced with an approved substitution. Assessing the potential impact of reinstatement on departmental resources. Note: The GPD and the chair must agree for the student to be reinstated at the department level.
If reinstatement is approved, the student will be informed in writing and the steps outlined in 1. A copy of the letter and the approved plan of study shall be forwarded to the Graduate School. The Graduate School will work with the Office of the Registrar to ensure the academic record is updated so the student may resume his or her study. Upon reinstatement: All courses with grades of B- 2. Courses with grades of B or above may be counted toward the degree but they will not be used in the calculation of the GPA.
Reinstated students must achieve a cumulative GPA of at least 3. Once You're Accepted Show children. New Enrollment Checklist. Navy College Enrollment Checklist. Policies and Student Responsibilities. Cost Show children. Financial Aid Show children.
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Teaching with Technology Award. State Authorization and Licensure Show children. Washington State Authorization. State Contact Information. Program Licensure Directory. Rankings and Recognition. Partnerships Show children. Network Engineering and Design. This course is an extension of ECE into a semester long project. Emphasis is on gaining an understanding of networking design principles that entails all aspects of the network development life cycle.
Analysis of sampled data involving use of probability density function, mean and standard derivations, correlations, and the power spectrum. Automatic Control Systems.
Analysis and design of control systems as found in automobiles and aircraft, autonomous vehicles, robots, and many other engineering systems. Time and frequency domain techniques such as root locus, Bode, Nyquist and state space techniques are utilized together with computer-aided analysis and design.
Offered fall Prerequisites: ECE Introduction to basic concepts in medical image analysis. Medical image registration, segmentation, feature extraction, and classification are discussed. Biomedical Applications of Low Temperature Plasmas. It is designed to be taken by senior undergraduate students and first year graduate students.
The course contents are multidisciplinary, combining materials from engineering and the biological sciences. The course covers an introduction to the fundamentals of non-equilibrium plasmas, low temperature plasma sources, and cell biology. This is followed by a detailed discussion of the interaction of low temperature plasma with biological cells, both prokaryotes and eukaryotes. Potential applications in medicine such as wound healing, blood coagulation, sterilization, and the killing of various types of cancer cells will be covered.
Offered fall Prerequisites: Senior standing. Foundations of Cyber Security. Course provides an overview of theory, tools and practice of cyber security and information assurance through prevention, detection and modeling of cyber attack and recovery from such attacks.
Techniques for security modeling, attack modeling, risk analysis and cost-benefit analysis are described to manage the security of cyber systems. Fundamental principles of cyber security and their applications for protecting software and information assets of individual computers and large networked systems are explored.
Anatomy of some sample attacks designed to compromise confidentiality, integrity and availability of cyber systems are discussed. Introduction to Solar Cells.
This course is designed to provide the fundamental physics and characteristics of photovoltaic materials and devices. Plasma Processing at the Nanoscale. The science and design of partially ionized plasma and plasma processing devices used in applications such as etching and deposition at the nanoscale. Gas phase collisions, transport parameters, DC and RF glow discharges, the plasma sheath, sputtering, etching, and plasma deposition.
Solid State Electronics. The objective of this course is to understand basic semiconductor devices by understanding semiconductor physics energy bands, carrier statistics, recombination and carrier drift and diffusion and to gain an advanced understanding of the physics and fundamental operation of advanced semiconductor devices. Optical Fiber Communication. This course introduces seniors and first year graduates to the physics and design of optical fiber communication systems.
The topics covered are: electromagnetic waves; optical sources including laser diodes; optical amplifiers; modulators; optical fibers; attenuation and dispersion in optical fibers; photodetectors; optical receivers; noise considerations in optical receivers; optical communication systems. Embedded Systems. This course covers fundamentals of embedded systems: basic architecture, programming, and design.
Topics include processors and hardware for embedded systems, embedded programming and real time operating systems. ECE W. Computer Engineering Design I. Emphasis is on the design of a complex digital circuit and microcontroller interfacing. A semester-long project involves the design, simulation and testing of a digital architecture and software GUI. Several moderate scale digital modules are designed, simulated, implemented and tested during the semester. Design methods incorporate CAD design tools, implementation with advanced integrated circuit technology and contemporary software tools.
Oral and written communication skills are stressed. This is a writing intensive course. Electrical Engineering Design I. Part one of the senior capstone design experience for electrical engineering majors.
Lectures focus on providing professional orientation and exploration of the design process. Small group design projects focus on the development of electronic subsystems. The course is the preparatory, proposal development section of part two of the senior capstone design experience for electrical and computer engineering majors. The course will focus on developing a proposal for a group design project. Elements of developing a successful proposal are emphasized along with written communication skills.
Industry-sponsored multi-disciplinary design projects are an option. Prerequisites: senior standing. Part two of the senior capstone design experience for electrical and computer engineering majors.
In this course, students will implement the design proposal developed in ECE Oral and written communication skills are emphasized. Part three of the senior capstone design experience for electrical and computer engineering majors.
Individual and group design projects focus on the development of complete electrical and computer systems. Microelectronics Design Experience. This is a Virginia Microelectronics Consortium VMEC practical hands-on, state-of-the-art summer research internship experience in the laboratory. This is not a regular class, but a summer research internship open only to those undergraduate students who apply for and win a VMEC Summer Research Scholarship.
The VMEC internship provides excellent technical knowledge as well as industrial and academic contacts for career development. Details regarding eligibility and report requirements are available in the department during fall with application deadline of October 30 each fall. Pre- or corequisite: MSIM or equivalent. Design and analysis of modulation systems and the performance in the presence of noise.
Course provides an overview of theory, tools and practice of cyber security and information assurance through prevention, detection and modeling of cyber attacks and recovery from such attacks.
Optical Fiber Communications. Offered fall Pre- or corequisite: ECE Linear Systems. A comprehensive introduction to the analysis of linear dynamical systems from an input-output and state space point of view. Concepts from linear algebra, numerical linear algebra and linear operator theory are used throughout. Some elements of state feedback design and state estimation are also covered. Prerequisites: MATH Machine Learning I. Course provides a practical treatment of design, analysis, implementation and applications of algorithms.
Topics include multiple machine learning models: linear models, neural networks, support vector machines, instance-based learning, Bayesian learning, genetic algorithms, ensemble learning, reinforcement learning, unsupervised learning, etc. Prerequisites: Graduate standing. Numerical Methods in Engineering Analysis. Course intended to provide graduate students in Electrical and Computer Engineering with a basic knowledge of numerical methods applied to engineering problem-solving process.
The course includes the following topics: Introduction to computing Matlab , Truncation errors and Taylor series, Numerical integration, Solution of non-linear equations, Least-Square regression, Interpolations, Ordinary and partial differential equations, and Finite difference methods.
Applications to the area of electrical engineering. Digital Signal Processing I. This course will present the fundamentals of digital signal processing. Topics will include frequency domain analysis of discrete-time linear systems, sampling and reconstruction of signals, the Discrete Fourier Transform DFT and Fast Fourier Transform FFT , and digital filter design and implementations.
Practical applications and examples will be discussed. Prerequisites: ECE or equivalent. Review of electrostatic and magnetostatic concepts, time varying field, Maxwell's equations, plane wave propagation in various media, transmission lines, optical wave guides, resonant cavities, simple radiation systems, and their engineering applications. Computer Networking. A focus is placed on the analysis of protocols at different layers, network architectures, and networking systems performance analysis.
Computer Architecture Design. Digital computer design principles. The course focuses on design of state-of-the-art computing systems. An emphasis is placed on superscalar architectures focusing on the pipelining and out-of-order instruction execution operations. Advanced Digital Design. Topics include top-down design approaches, virtual prototyping, design abstractions, hardware modeling techniques, algorithmic and register level design, synthesis methods, and application decomposition issues.
Final design project is required. Statistical Analysis and Simulation.
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