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. Recommended prereq., CSCI 4593 or instructor consent required. Same as ECEN 5593. Requisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) 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. Recommended prerequisite ECEN 4593. Same as CSCI 5593. Requisites: Restricted to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.
Explores development of a safe, reliable, and acceptable program for reusing impaired waters. As fresh water becomes scarcer around the world, communities are looking for security through development of new water resources. Reuse of impaired water is one solution to the growing water crisis. Focus is on advanced treatment technologies with emphasis on public perception, economics, and regulations. Recommneded prereq., CVEN 3141 and CVEN 3424. Same as 4594. Requisites: Restricted to graduate students 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. Requisites: 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. Requisites: Restricted to students with 87-180 credits (Senior) or graduate 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. Same as CSCI 5608 and EMEN 5031. Requisites: Requires prerequisite courses ECEN 4583, ECEN 5543, and CSCI 4318 (all minimum grade D-). Restricted to graduate students only.
Provides a fundamental basis for design of UV processes in water and wastewater treatment. Includes principles of photochemistry and photobiology. Applications to disinfection of water and degradation of chemical compounds in the environment. Design of UV disinfection systems and reactors and advanced oxidation processes. Environmental UV-based decay of pollutants. Recommended prereqs., CVEN 3414 and CVEN 3424. Requisites: Restricted to graduate students only.
Highlights computer arithmetic, solution of linear systems, least-squares approximations, nonlinear algebraic equations, interpolation, and quadrature. Recommended prereqs., CSCI 3656 and three semesters of calculus, or equivalent. Requisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) 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. Department enforced 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. Recommended prereqs., ECEN 4583, CSCI 5548 and 4318, or equivalent industrial experience. Same as ECEN 5603 and EMEN 5031. Requisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) majors only.
Presumes that entrepreneurism can be learned through the conception, build, and launch of an original product or service by student teams within a single semester. Immerses students in the daily leadership and innovation challenges of the startup environment and serves as a clinic in thinking, decision making and mental agility that will benefit any area of business--not just startups. Requisites: Restricted to graduate students 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. Requisites: Requires prerequisite course of EMEN 5900 or APPM 4580 or APPM 5580 (minimum grade C+). Restricted to students with 57-180 credits (Junior or Senior) or graduate students only.
Deals with random time-varying functions and is therefore useful in the broad range of applications where they occur. Topics include review of probability, convergence of random sequences, random vectors, minimum mean-square error estimation, basic concepts of random processes, Markov processes, Poisson processes, Gaussian processes, linear systems with random inputs, and Wiener filtering. Applications range from communications, communication networks, and signal processing to random vibration/stress analysis, mathematical finance, physics, etc. Requisites: Restricted to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.
Same as ECEN 4613. Requisites: Restricted to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.
Introduces fundamental theories and applied technologies used in production and conversion of renewable biomass including waste materials into bioenergy and other value-added products. Conducts quantitative evaluations on conversion processes such as renewable biogas production, electricity generation, liquid fuels, metal and nutrients recovery and organic chemical production. Recommended prereq., CVEN 4484. Requisites: Restricted to graduate students only.
Same as ECEN 4616. Requisites: Restricted to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.
Emphasizes that user-centered design is the first and primary consideration in the design process. UCD teaches how to design successful interactions from research into users' behaviors, attitudes and expectations via three key elements to designing successful user experiences: 1) Listen, Observe, and Research; 2) Concept and Design for Your Users; 3) Deliver/Launch. Requisites: Restricted to graduate students 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. Requisites: Requires prerequisite course of EMEN 5610 (minimum grade C+). Restricted to students with 57-180 credits (Junior or Senior) or graduate students 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. Requisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) majors only.
Covers fundamental limits of data compression, reliable transmission of information and information storage. Topics include information measures, typicality, entropy rates of information sources, limits and algorithms for lossless data compression, mutual information, and limits of information transmission over noisy wired and wireless links. Optional topics include lossy data compression, limits of information transmission in multiple-access and broadcast networks, and limits and algorithms for information storage. Requisites: Restricted to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.
Same as ECEN 4623. Requisites: Restricted to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.
Analysis of active optical devices such as semiconductor laser, detector and flat panel display by clearly defining and interconnecting the fundamental physical mechanism, device design and operating principles and device performance. Recommended prereq., ECEN 5355.
Covers fundamental principles of seepage in soils under both saturated and unsaturated conditions and limit equilibrium solution to slope stability problems. The seepage effects on slope stability are analyzed in detail and both conventional slope stability method and the finite element technique are applied to solving the engineering problems. Department enforced prereqs., CVEN 3708 and 3718 or instructor consent required.
Covers the front end environment--HTML 5, CSS3, JS. Introduces students to HTML and emphasizes semantic use of elements and standards-based, valid code. CSS use focuses on separating content from presentation in order to decrease maintenance time, speed up development, improve download speed, and design capabilities. Requisites: Restricted to graduate students only.
