Courses

Implement fundamentals of IP Routing Protocols and apply them directly to design based networking problems. Design scenarios will incorporate physical and logical design, financial analysis, and laboratory configuration. Prereq., TLEN 5370. Prerequisites: Restricted to Graduate Students only.

Intended to create a foundation for operating systems research or advanced professional practice. Examines the design and implementation of a number of research and commercial operating systems and their components, system organization and structure, threads, communication and synchronization, virtual memory, distribution, file systems, security and authentication, availability, and Internet services. Prereqs., CSCI 3753, 4593, equivalent undergraduate coursework in operating systems and computer architecture, or instructor consent. Same as ECEN 5573. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree majors only.

Same as CSCI 5573.

Covers steel structure design and analysis. Includes plate girders, moment connections for beams, design of multistory frames, and other topics determined by class interest. Prereq., CVEN 4545 or equivalent. Prerequisites: Restricted to Graduate Students only.

Same as CSCI 4576. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree majors only.

Studies the role of communication and networking In creating efficient, extensible, and resilient energy networks. Describes existing networking technologies and standards such as SCADA and IEC61850 and upcoming technology developments. Cyber security, regulatory requirements, and the industry economic framework are discussed. Provides the tools to choose and design networking technologies for the smart grid. Recommended prereq., ECEN 5007. Co-reqs., TLEN 5310 and 5330. Prerequisites: Restricted to Graduate Students only.

Surveys artificial intelligence methods, theories, and applications. Studies the relationship between artificial intelligence and psychology, linguistics, and philosophy. Introduces artificial intelligence programming. Prereq., CSCI 3155 or equivalent. Same as ECEN 5583. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree majors only.

Prereq., CSCI 3245 or equivalent. Same as CSCI 5582.

Covers design and analysis topics for prestressed concrete and/or reinforced concrete structures. Includes review of the current ACI design code, slabs, prestressed concrete, seismic design, folded plates and shells, finite element analysis, and other topics determined by class interest. Prereq., CVEN 4555 or equivalent. Prerequisites: Restricted to Graduate Students only.

Provides a broad-scope treatment of important concepts in the design and implementation of high-performance computer systems. Discusses important issues in the pipelining of a machine and the design of cache memory systems. Also studies current and historically important computer architectures. Prereq., CSCI 4593 or instructor consent. Same as ECEN 5593. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree majors only.

Provides a broad-scope treatment of important concepts in the design and implementation of high-performance computer systems. Discusses important issues in the pipelining of a processor, out-of-order instruction issue and superscalar designs, design of cache memory systems for such systems, and architectural features required for multicore processor designs. Also studies current and historically important computer architectures. Prereq., ECEN 4593 or instructor consent. Same as CSCI 5593. Prerequisites: Restricted to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.

Applications oriented survey of operations research topics including linear and integer programming, network analysis, dynamic programming, nonlinear programming, decision analysis, Markov chain and Markovian decision models, queuing theory, and simulation. Non-EMP students require instructor permission. Same as OPIM 6070. Prerequisites: Restricted to graduate students in Engineering Management Program (EMEN) only.

Provides a series of weekly lectures with questions and discussion. Many of the speakers are nationally known experts in telecommunications. Fall and spring seminars are for 1 credit hour each, and attendance is required. May be repeated up to 4 total credit hours. Prerequisites: Restricted to students with 87-180 credits (Senior) or gaduate students in the College of Engineering or Leeds School of Business only.

Presents topics and techniques critical to the management of software product development, including estimating, planning, quality, tracking, reporting, team organization, people management, and legal issues. Gives special attention to problems unique to software projects. Prereqs., ECEN 4583, 5543, and CSCI 4318, or equivalent industrial experience. Same as CSCI 5608 and EMEN 5031. Prerequisites: Restricted to Graduate Students only.

Highlights computer arithmetic, solution of linear systems, least-squares approximations, nonlinear algebraic equations, interpolation, and quadrature.Prereqs., CSCI 3656 and three semesters of calculus, or equivalent. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree majors only.

Provides advanced training in experimental optics. Consists of optics experiments that introduce the techniques and devices essential to modern optics, including characterization of sources, photodetectors, modulators, use of interferometers, spectrometers,and holograms, and experimentation of fiber optics and Fourier optics. Prereq., undergraduate optics course such as PHYS 4510. Same as PHYS 5606.

Presents topics and techniques critical to the management of software product development, including estimating, planning, quality, tracking, reporting,team organization, people management, and legal issues. Gives special attention to problems unique to software projects. Prereqs., ECEN 4583, CSCI 5548 and 4318, or equivalent industrial experience. Same as ECEN 5603 and EMEN 5031. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree majors only.

Combines statistical methods with practical applications and computer software. Develops commonly used statistical models such as analysis of variance as well as linear and logistic regression. The statistical models are implemented and interpreted in the context of actual data sets using available statistical software. Continuation of EMEN 5005. Prereq., EMEN 5005 or equivalent and EMEN 5900 or equivalent. Non-EMP students require instructor permission. Prerequisites: Restricted to graduate students in Engineering Management Program (EMEN) only.

Reviews probability theory, convergence and probability bounds, multivariable normal theory, sequences of random variables and stochastic processes, Bernoulli and Poisson processes, wide-sense stationary processes, and correlation functions and power spectra. Also includes linear systems with random inputs and Gauss-Markov processes, first- and second-order properties of Arma processes, and Markov chains. Prereqs., ECEN 3300 and 3810 or MATH 4510. Prerequisites: Restricted to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.

Same as ECEN 4613. Prerequisites: Restricted to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.

Same as ECEN 4616. Prerequisites: Restricted to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.

Combine intermediate and advanced statistical methods with practical research applications. Develops commonly used statistical models such as Two and Three-Way Analysis of Variance and the analysis of Fractional Factorial Designs for the solution of common business and industrial research problems. The statistical models are implemented and interpreted in the context of actual data sets using available statistical software. Prereq., EMEN 5610. Non-EMP students require instructor permission. Prerequisites: Restricted to graduate students in Engineering Management Program (EMEN) only.

Trains students to build computer systems that learn from experience. Includes the three main subfields: supervised learning, reinforcement learning and unsupervised learning. Emphasizes practical and theoretical understanding of the most widely used algorithms (neural networks, decision trees, support vector machines, Q-learning). Covers connections to data mining and statistical modeling. A strong foundation in probability, statistics, multivariate calculus, and linear algebra is highly recommended. Prereq., graduate standing or instructor consent. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree majors only.

Entropy rates of information sources, fundamental limits of data compression, Huffman and arithmetic codes; mutual information, fundamental limits of information transmission over noisy communication channels with/without feedback. Selected topics in information storage, lossy data compression, and network information theory. Prereqs., ECEN 3810 or equivalent, or instructor consent. Prerequisites: Restricted to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.

Same as ECEN 4623. Prerequisites: Restricted to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.