Courses

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: Restriced to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.

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

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

Same as ECEN 4623. Prerequisites: Restriced 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. Prereqs., CVEN 3708 and 3718 or instructor consent. Prerequisites: Restricted to Graduate Students only.

Restricted to graduate students. Prerequisites: Restricted to Graduate Students only.

Digital signal processing and its applications are of interest to a wide variety of scientists and engineers. The course covers such topics as characterization of linear discrete-time circuits by unit pulse response, transfer functions, and difference equations, use of z-transforms and Fourier analysis, discrete Fourier transform and fast algorithms (FFT), design of finite and infinite impulse response filters, frequency transformations, study of optimized filters for deterministic signals. Prerequisites: Restriced to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.

Same as ECEN 4633. Prerequisites: Restriced to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.

Introduce RF and microwave measurement methods. A laboratory course whose experiments build on material learned in ECEN 3410 (Electromagnetic Waves and Transmission): electromagnetic waves, transmission lines, waveguides, time-domain reflection, frequency-domain measurement, microwave networks, impedance matching, antenna pattern measurement, radar, and simple nonlinear concepts such as harmonics, square-law detection, mixing and transmitter/receiver applications. Prereq., ECEN 3410. Restricted to graduate students. Same as ECEN 4634. Prerequisites: Restriced to any graduate students or Electrical/Computer Engineering or Electrical Engineering Concurrent Degree majors only.

Focuses on finite difference solution for partial differential equations, methods of SoR, ADI, conjugate gradients, finite element method, nonlinear problems, and applications. Prereqs., CSCI 5606. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree majors only.

Addresses issues of micro-electro-mechanical systems (MEMS) modeling, design, and fabrication. Emphasizes the design and fabrication of sensors and actuators due to significance of these devices in optics, medical instruments, navigation components, communications, and robotics. Prereq., instructor consent. Prerequisites: Restricted to College of Engineering and Applied Science Graduate Students or BS/MS Mechanical Engineering or Concurrent Degree students.

Addresses engineering of applications requiring multiple software processes running concurrently, sharing data, and communicating as a system in a single environment. Topics include performance analysis of architecture design; analysis of requirements, design and testing of synchronization and communication; the interplay of system design and performance with the impact of memory management, input/output, and file system support. Prereq., ECEN 4583 or 5543. ECEN 4643 and 5643 are the same course. Prerequisites: Restricted to Graduate Students only.

Introduces lasers, Gaussian optics, modulators, nonlinear optics, optical detectors, and other related devices. Prerequisites: Restricted to Graduate Students only.

Offers direct and iterative solutions of linear systems. Also covers eigen value and eigenvector calculations, error analysis, and reduction by orthogonal transformation. Prereqs., CSCI 5606. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree majors only.

Extra work required for graduate course. Same as CHEN 4650.

Introduces detection, estimation, and time series analysis. Topics include hypothesis testing, detection of known form and random signals, least squares parameter estimation, maximum likelihood theory, minimum mean-squared error estimation, Kalman-Wiener filtering, prediction in stationary time series, and modal analysis. Applications include studies incommunications, control, and experimental modeling. Prereq., ECEN 5612.

Learn how to design and build Linux-based real-time system applications for digital media encode/decode and transport. Course focus is on the process as well as fundamentals of designing, coding, and testing Linux-based real-time systems often used in industry for digital media systems. Students use POSIX kernel-mapped threads and drivers to implement real-time digital media solutions. Prereqs., ECEN 1030 or CSCI 1300, and CSCI 3753 or equivalent. Restricted to engineering students. ECEN 4653 and 5653 are the same course.

Presents algorithms, simplex, and modifications. Examines theory---duality and complementary slackness. Involves network flow algorithms. Introduces integer programming. Prereq., linear algebra. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree majors only.

Extra work required for graduate course. Same as CHEN 4670.