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Course Criteria
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3.00 Credits
Description: Concepts of probability theory and random processes important to computer engineering and, in general, the probabilistic modeling of discrete even systems. Topics: exponential distribution, Poisson processes, Markov chains, and renewal theory. Application areas: queuing theory and queuing models of systems, as well as the modeling of systems reliability. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Introduction to concepts of software reliability within the context of software systems development. The course will be useful to managers who require a broad understanding of the topic as well as to software designers, programmers and testers who may need to apply these concepts in detail. Topics: a selection of classical software reliability models. In addition, some of the broader issues impacting software reliability, such as software design and testing will be studied. Prerequisite: Background in probability theory or permission of instructor. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Introduction to operating systems and programming, computing facilities and tools. Fundamental programming concepts (control, data structures, modularity, data abstraction, language implementation, run-time environment, procedure linkage, memory management), and programming in the C language. Usage of UNIX Operating System, computer organization and architecture from the user's viewpoint, typical software tools (editors, compilers, linkers). 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Introduction to Object-Oriented paradigm of software development. Emphasis on object approach to software design and development. The difference between traditional approaches and OO Analysis, Design, and Development is explained. Using C++ as the vehicle for exploring implementation of the concepts the course will introduce abstract data types, information hiding, overloading, inheritance, polymorphism, and dynamic binding. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering Prerequisites: Graduate Engineering level ECE 8473 Minimum Grade of C
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3.00 Credits
Description: Theory and practice of computer communications security, including cryptography, authentication, and secure electronic mail. Topics include secret and public key cryptography; message digests; password-based, address- based, and cryptographic authentication; privacy and authentication in email; PEM, PGP, and S/MIME. Use of various algorithms. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Arts and Sciences Graduate Engineering
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3.00 Credits
Description: Fundamentals of pattern recognition with an analytical approach; computer projects used for practical applications. Topics: Bayes decision theory, parametric and non-parametric methods,maximum likelihood classification, discriminant functions, feature extraction, clustering, supervised learning, k-means algorithm, syntactic methods. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Continuation of ECE 8475. Application of concepts of Object-Oriented Analysis and Design with emphasis on using these concepts in a team programming project. Segmenting large projects for group development and emphasis on how OO techniques facilitate integration and code reuse. Java and C++ used as the implementation languages. Course conducted in group project setting. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering Prerequisites: Graduate Engineering level ECE 8475 Minimum Grade of C
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3.00 Credits
Description: Recent developments in the field of smart sensor systems are reviewed. A systematic approach towards the design of smart sensor systems is presented. Smart sensor systems involving the measurement of physical quantities such as temperature, pressure, strain, acceleration, magnetic fields, etc. through the use of electrical, optical, and othertransduction methods is discussed. The lectures include case studies. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering Graduate Business Prerequisites: ECE 7525
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3.00 Credits
Description: Mixed analog and digital CMOS integrated circuit design devices: MOS devices, design, layout and simulation of digital and analog circuits including elementary logic and sequential machines, amplifiers, operational amplifiers, and analog signal processing and data conversion circuits. Projects using integrated circuit layout and simulation tools. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering Prerequisites: Graduate Engineering level ECE 7500 Minimum Grade of C
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3.00 Credits
Description: Introduction to photonic systems. Course begins with an overview of ray, wave, and gaussian beam optics. Examples of several optical components, relavent to photonic systems, are discussed utilizing methods developed for these three optical domains. Laser concepts and technologies are next reviewed with applications in Fourier optics. Specific examples include image processing, optical correlation, and holography. Also examined are several technologies covering electro-optical, optical switches, and holographic inter- connections with applications in optical computing systems. Prerequisites: Undergraduate Electromagnetic Theory, Differential Equations 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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