Apr 29, 2024  
OHIO University Graduate Catalog 2019-20 
    
OHIO University Graduate Catalog 2019-20 [Archived Catalog]

Courses


 
  
  • EE 6643 - Digital Image Processing


    Provides basic concepts and methodologies for digital image processing, and develops a foundation as the basis for further study and research in this and related fields. All mainstream areas of image processing covered, including image fundamentals/modalities, image registration, Radon transform/image reconstruction/projection-slice theorem, spatial and frequency domain image enhancement, image restoration/Wiener filtering, color image processing, wavelets/curvelets/multi-resolution analysis, image/video compression, morphological watershed, segmentation, description/object recognition, video processing, and image data fusion.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Fundamental knowledge for design and development of an image/video-processing/multimedia/fata-fusion system. Knowledge that is essential for research in 2D/3D image signals, video/multimedia systems, and multisensory data fusion/networking/biophotonics.
  
  • EE 6653 - Computer Vision


    Image sensing and representation, perspective projection, image analysis, visual pattern recognition, image filtering and registration, image enhancement, color perception, texture analysis and Julesz’s conjector, content-based image retrieval, motion from 2D image and video sequences, image segmentation, shape from shading, matching in 2D, depth from 2D images, object pose estimation, scene models and matching, stereo and 3D vision, virtual and mixed realities, human biometrics, active and passive scene scanning, robot guidance and surveillance.

    Requisites: EE 5143
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Understanding of computer vision and machine perception.
  
  • EE 6663 - Pattern Recognition


    Pattern recognition’s (PR) goal is the recognition and classification of objects, patterns, images, signals, or waveforms into a number of categories or classes. PR is an integral part in most machine intelligence systems designed for decision-making. Rapidly developing technology with cross-disciplinary interest and participation with other areas such as adaptive signal processing, AI, neural net, optimization and estimation, fuzzy sets, structural modeling, and formal languages. PR applications include image and video processing; machine vision; seismic analysis; radar signal classification; face, gait, speech and character recognition; Fingerprint identification; surveillance; navigation; OCR; medicine and biological sciences; CAD; multimedia systems; digital libraries. Addresses three different (statistical, syntactic, and neural-network) approaches to PR problem.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Knowledge for analysis and design of a PR system. Essential information in conducting research in visual pattern recognition, medical imaging, machine vision and robotics, remote sensing, and audio recognition.
  
  • EE 6673 - Interconection Networks for High-Performance Computing Systems


    Study of interconnection networks for high-performance computing (HPC) systems and multi-cores at on-chip, inter-chip and inter-rack levels.

    Requisites: EE 5683
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Ability to differentiate between various switching and routing techniques.
    • Ability to evaluate future technologies for implementing the interconnection network.
    • Ability to understand techniques for designing various network/interconnect topologies.
    • Ability to understand the working of interconnection networks at on-chip and off-chip levels.
    • Ability to understand the working of the router microarchitecture.
    • Ability to understand various flow control techniques implemented by interconnection networks.
  
  • EE 6713 - Digital Signal Processing


    Familiarity with probability and stochastic signals; linear system analysis; basic DSP expected. Review of discrete time signals and systems, the z-transform, sampling. Transform domain analysis. Design of IIR and FIR filters; DFT, FFT, and Fourier analysis, spectrum and eigenanalysis, parametric signal modeling.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Analyze signal spectra, correlations, and eigenvalue structure.
    • Analyze systems using the DFT, z-transform.
    • Design basic FIR and IIR filters.
    • Understand common parametric signal models.
    • Understand discrete time analysis of random signals.
    • Understand the use and implementation of the DFT and FFT
  
  • EE 6723 - Digital Communications


    Review of deterministic and stochastic signal and system characterizations, sampling, baseband pulse signaling and the matched filter. Signal spaces and bandpass modulations, error control coding fundamentals, ISI, equalization, and multicarrier systems.

    Requisites: EE 5713
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Ability to characterize canonical fading channel models.
    • Ability to describe ISI and specify equalizers for mitigation.
    • Ability to describe communication modulations in time and frequency domains.
    • Ability to determine matched filter for arbitrary signals and noise.
    • Ability to specify and evaluate multi-carrier system performance and characteristics.
    • Ability to use signal space concepts for modulation analysis.
  
  • EE 6733 - Advanced Topics in Signal Processing


    Digital filter designs. Discrete random signals. Linear prediction and the Wiener filter. Stochastic gradient methods, least-squares and Kalman filter, SVD, super-resolution algorithms, current research problems.

    Requisites: EE 6713
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Ability to apply least-squares and Kalman filtering algorithms.
    • Ability to apply super-resolution algorithms.
    • Ability to characterize DT filtering of random processes.
    • Ability to conduct eigen- and spectrum analysis of WSS processes.
    • Ability to design IIR and FIR filters to specifications.
    • Ability to design and analyze stochastic gradient filters.
    • Ability to imply SVD in filter design.
    • Ability to specify Wiener filters and linear predictors.
  
  • EE 6743 - Information Theory


    Introduction to information theory. Overview of field, entropy as a measure of uncertainty. Relative entropy, mutual information. Characteristics of sequences and entropy rate. Lossless data compression and source coding. Bounds and relations for channel capacity, differential entropy, the Gaussian channel. Rate distortion theory, and selected topics of current interest.

    Requisites: EE 5713
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Ability to compute and describe channel capacity for the Gaussian channel.
    • Ability to compute and describe entropy.
    • Ability to compute and describe mutual information.
    • Ability to compute differential entropy for continuous sources.
    • Ability to evaluate lossless compression codes.
    • Ability to evaluate loss compression codes with a distortion measure.
  
  • EE 6863 - Advanced Electronic Navigation Systems


    Continuation of EE 5853. Focuses on current and future avionics systems and aircraft electronics. Design and signal processing in navigation receivers.

    Requisites: EE 5853
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Knowledge of the working principles of various future navigation systems and their applications.
    • The ability to design and implement key algorithms of electronic navigation systems (such as GPS software radio, LIDAR-based navigation) in Matlab®.
    • The ability to solve engineering problems related to the design and analysis of electronic navigation systems.
    • Understanding a variety of advanced navigation and timing systems.
    • Understanding of the design principles involved with safety-critical (avionics) systems.
  
  • EE 6900 - Special Topics in Electrical Engineering


    Selected topics of current interest in electrical engineering and computer science.

    Requisites:
    Credit Hours: 1 - 3
    Repeat/Retake Information: May be repeated for a maximum of 6.0 hours.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • At discretion of instructor.
  
  • EE 6910 - Graduate Internship in Electrical Engineering


    Supervised work-related experience in government or industry.

    Requisites: Permission required
    Credit Hours: 1 - 6
    Repeat/Retake Information: May be repeated for a maximum of 6.0 hours.
    Lecture/Lab Hours: 2.0 field experience/internship
    Grades: Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Graduate internship.
  
  • EE 6930 - Independent Study


    Independent study in advanced topics of current interest in electrical engineering.

    Requisites:
    Credit Hours: 1 - 3
    Repeat/Retake Information: May be repeated for a maximum of 3.0 hours.
    Lecture/Lab Hours: 3.0 independent study
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • At discretion of instructor.
  
  • EE 6940 - MS Research


    Research related to student thesis, project, or paper.

    Requisites:
    Credit Hours: 1 - 6
    Repeat/Retake Information: May be repeated for a maximum of 20.0 hours.
    Lecture/Lab Hours: 1.0 research
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • MS Thesis research.
  
  • EE 6943 - MS Project Report


    MS project report.

    Requisites: Permission required
    Credit Hours: 1 - 3
    Repeat/Retake Information: May be repeated for a maximum of 9.0 hours.
    Lecture/Lab Hours: 1.0 studio
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • MS project report
  
  • EE 6950 - Thesis


    MS thesis.

    Requisites:
    Credit Hours: 1 - 9
    Repeat/Retake Information: May be repeated.
    Lecture/Lab Hours: 1.0 thesis/dissertation
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Thesis.
  
  • EE 6981 - Graduate Research Seminar


    Seminar content varies. Guest speakers, plus student presentations.

    Requisites:
    Credit Hours: 1
    Repeat/Retake Information: May be repeated for a maximum of 2.0 hours.
    Lecture/Lab Hours: 1.0 seminar
    Grades: Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Seminar.
  
  • EE 7123 - Automata Theory


    Fundamental concepts of abstract algebra/finite state automata/Galois fields, sequential machines, decomposition of sequential machines, measurement/control and identification of sequential machines, regular expressions and machine specification, vector spaces/linear transforms and matrices, linear sequential machines, Turing machines, artificial languages, random sequences, random processes in sequential machines, support vector machines, NN’s, hierarchical spatio-temporal memories, syntactic/structural pattern recognition, biological computing.

    Requisites: EE 5143
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Understanding of the finite state automata and theory of computation.
    • Ability to use the mathematics (vector spaces, linear transforms, etc.) to solve problems in automata.
  
  • EE 7153 - VLSI Design of Neural Networks


    VLSI implementation of neural networks. Multilayered neural networks. Self organizing nets for pattern recognition. Integrated circuit synaptic connections. Active building blocks of the neural networks. Circuits for arithmetic functions. Analog multipliers and convolution circuits. Associative memory implementation. Optical motion sensor. Electronic neural processors.

    Requisites: EE 5143
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Ability to design digital VLSI components in state of the art MOS technology.
    • Ability to design, optimize, and layout of either very high speed, high density, or low power circuits.
    • Understanding of impact of scaling, deep submicron effects, interconnect, signal integrity, power distribution and consumption, and timing.
  
  • EE 7183 - Reinforcement Learning


    This course will provide a comprehensive introduction to reinforcement learning as an approach to artificial intelligence, emphasizing the design of complete agents interacting with stochastic, incompletely known environments. Reinforcement learning has adapted key ideas from machine learning, operations research, psychology, and neuroscience to produce some strikingly successful engineering applications. The focus is on algorithms for learning what actions to take, and when to take them, so as to optimize long-term performance. This may involve sacrificing immediate reward to obtain greater reward in the long-term or just to obtain more information about the environment. The course will cover Markov decision processes, dynamic programming, temporal-difference learning, Monte Carlo reinforcement learning methods, eligibility traces, the role of function approximation, and the integration of learning and planning. The course will emphasize the development of intuition relating the mathematical theory of reinforcement learning to the design of human-level artificial intelligence. “Reinforcement learning is learning what to do—how to map situations to actions—so as to maximize a numerical reward signal. The learner is not told which actions to take, as in most forms of machine learning, but instead must discover which actions yield the most reward by trying them. In the most interesting and challenging cases, actions may affect not only the immediate reward, but also the next situation and, through that, all subsequent rewards. These two characteristics—trial-and-error search and delayed reward—are the two most important distinguishing features of reinforcement learning.” This course will prepare you to study computational principles and hardware organization of what we mean by intelligence and goal-directed behavior. How to motivate machine to act on its own, yet to satisfy a desired objective? How machine interaction with environment leads to better behavior, better understanding, and success in its mission? What are the computational issues in doing this efficiently and in real time?

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Apply artificial intelligence concepts to reinforcement learning design.
    • Apply principles of machine learning to reinforcement learning.
  
  • EE 7213 - Cognitive Neuroscience and Embodied Intelligence


    This course considers neurological, psychological, and structural models of intelligence. It uses these models as a basis for discussion and development of new models that may exhibit potential for creating embodied intelligence. The majority of biological intelligence creatures are simple, yet they can achieve complex information processing that current artificial intelligence cannot match.  Can we use these simple models to learn how to design better artificial intelligence? Thus this course is a combination of what we know about intelligence with discovery what makes it possible. The emphasis in this course is on the development of the concept of self-organizing, learning neural systems with locally interconnected processing components (neurons and minicolumns). Neural-net implementations of pattern recognition algorithms provide important, practical advantages by allowing fast realization of parallel, iterative procedures. Self-organizing neural networks that implement associative spatio-temporal memories, statistical self-organization and learning, goal creation and goal oriented development of the memory structures will be discussed. An example self-organizing neural system simulating biological systems will be examined. Cognitive neuroscience focuses on understanding how the brain embodies the mind, using biologically inspired models made of neuron-like processing components. This subject lies at a cross-section of neuroscience and cognitive psychology, and involves developing models that illustrate brain functions, observed cognitive phenomena and their behavioral manifestations. These models are used to develop embodied agents that interact with the environment through a physical body that is able to perceive and act on the environment.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture, 2.0 laboratory
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Another aim is to study biological substrates underlying cognition, with focus on the neural models of mental processes and their behavioral manifestations.
    • The course aims to teach students about principles and structural organization of intelligence, learning, and goal oriented behavior.
    • The course focuses on models of embodied intelligence that learns through interaction with environment.
  
  • EE 7233 - Nonlinear System Analysis II


    Advanced topics in nonlinear dynamical systems analysis: Regular and singular perturbations, passivity and dissipativity, frequency domain analysis methods such as the describing function and absolute stability.

    Requisites: EE 6233 or 623
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • A mastery of advanced analytical techniques for nonlinear dynamical system, e.g. perturbation analysis, harmonic linearization and analysis, energy/power analysis, and mathematical reasoning.
    • An ability to use numerical and symbolic programming for advanced analysis of nonlinear dynamic systems and processes.
    • An in-depth understanding of nonlinear dynamical system behaviors, e.g. solution and stability of perturbed motion, energy based stability analysis, frequency response of nonlinear dynamical systems.
  
  • EE 7733 - Time Frequency Analysis and Wavelet Signal Processing and Applications


    Good knowledge of Fourier transforms, properties, basic DSP: sampling, DTFT, and discrete time filtering (grad DSP course EE6713) required. Structured to cover two areas: the broad area of time-frequency (TF) analysis, and the focused application of wavelets to various signal processing tasks. In TF analysis, covers the fundamental need for this type of analysis, the uncertainty principle, densities, characteristic functions, and mathematical representations, the short-time Fourier transform and Spectrogram, the Wigner distribution, other TF distributions, and some TF distribution construction methods. Various examples will be used to illustrate the power and challenges of TF analysis. In the wavelet section, connects TF analysis to the use of wavelets, and covers multiresolution analysis, 1D and 2D compression of signals and images, noise reduction, and signal modulation. MATLAB Wavelet Toolbox used to implement, study, and visualize the operation of wavelet filter banks.

    Requisites: EE 6713
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Ability to apply the lifting algorithm implementation of integer-to-integer wavelet transforms.
    • Ability to compute the STFT and Wigner distributions.
    • Ability to derive marginal distributions from joint distributions, and compute multiple types of averages.
    • Ability to determine when conventional Fourier analysis is inadequate and TF analysis needed for non-stationary signals.
    • Ability to distinguish between dyadic wavelet and wavelet packet decomposition of signals and images, and apply them in lossless and loss data compression techniques.
    • Ability to generate TF distributions via the characteristic function and kernel methods.
    • Ability to implement and apply the discrete wavelet transform using quadrature-mirror filter banks.
    • Ability to represent signals in analytic form.
    • Ability to understand and apply the signal uncertainty principle.
    • Ability to use wavelet basis functions as an alternative to Fourier bases.
  
  • EE 7743 - Mobile Communications


    Introduction to mobile communication system design and analysis. Topics include representations for bandpass signals and systems, modeling of the mobile communication channel including both large scale path loss and multipath fading, signal set and receiver design for the mobile communication channel, characterization of interference, principles of coding and equalization, diversity techniques, performance over fading channels, access and mobility control, mobile network architectures and multiple access, and signaling protocols for mobile communication systems. Examples of mobile communication systems will be studied, including the latest generation cellular and mobile satellite systems.

    Requisites: EE 6723
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Analyze/simulate performance of convolutional codes and maximum likelihood sequence estimation.
    • Analyze/simulate performance of modulations over fading channels.
    • Analyze/simulate performance with diversity.
    • Describe and simulate fading channels.
    • Develop models for co-channel interference.
  
  • EE 7803 - CDMA and Spread Spectrum Communications


    Introduction to code division multiple access (CDMA) and spread spectrum (SS) systems, with coverage of both direct sequence and frequency hopped spread spectrum. Primary focus is the physical layer. Origins of SS, jamming, spectral overlay, spreading sequences, and performance in AWGN and fading channels. Code acquisition and tracking, power control. Selected topics of current interest.

    Requisites: EE 6723
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Analyze spread spectrum performance in fading channels.
    • Analyze spread spectrum performance in presence of several types of jamming.
    • Understand fundamentals of SS multiple access and power control.
    • Understand fundamentals of code acquisition and tracking.
    • Understand principles of commonly used spreading sequences.
  
  • EE 7913 - Advanced Digital Control Systems


    Well versed in analyzing and designing control systems employing continuous time controllers using classical frequency domain and root locus techniques and introduced to state space analysis techniques for continuous systems expected. Focuses on analysis and design of control systems in which a digital computer used to implement dynamic controllers so that performance specifications are met. Topics included are z-transforms, linear difference equations, development of linear models for analog to digital and digital to analog devices, state equations for sampled data systems, stability analysis of feedback sampled-data feedback systems, block diagram representation of sampled data systems, design of discrete state variable controllers for digital feedback control systems via modern state space approaches, e.g., LQG, pole placement, and analysis of sampled-data feedback system to assess stability and performance. MATLAB and or SIMULINK used as the principal computation tool.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Learn how to mathematically model the effects of converting signals by digital to analog and analog to digital devices.
    • Learn to analyze stability of linear, sampled data feedback control systems.
    • Learn to design feedback controllers for sampled-data systems via modern control techniques such as LQG and pole placement.
    • Learn to mathematically model linear systems in which there are both continuous and analog signals (sampled-data systems).
    • Learn to represent sampled-data feedback control systems with discrete state space models.
    • Learn to use MATLAB and/or SIMULINK to analyze feedback, sampled-data control systems.
    • Learn z-transforms for analyzing sampled-data control systems.
  
  • EE 7953 - Advanced Probability and Stochastic Processes for Communications


    Coverage of advanced probability and stochastic processes for communications applications. Transformations of RVs, sequences of RVs and stochastic convergence, multiple statistics, parameter estimation, hypothesis testing, random walks, spectral representations (e.g., KL expansions), Markov processes. Selected topics of current interest.

    Requisites: EE 6723
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Ability to conduct and evaluate hypothesis tests.
    • Ability to find densities/distributions of arbitrary random variable transformations.
    • Ability to formulate and evaluate various parameter estimatation methods.
    • Ability to use and analyze Markov chains to describe stochastic processes.
    • Employ various spectral representations to describe stochastic process.
    • Understand and describe types of stochastic convergence.
    • Understanding and classifying of principles and applications of random walks.
  
  • EE 7963 - Advanced State Variable Methods in Control


    Rigorous treatment of controllability and observability for LTI systems; standard state variable forms; duality; minimal realizations; grammians; eigenvalue placement with full state feedback; full and reduced order observers; separation principle; robustness; discrete-time systems; multivariable systems.

    Requisites: EE 5213
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Construct standard state variable forms for systems.
    • Define and analyze controllability and observability of LTI systems.
  
  • EE 7973 - Linear Optimal Control


    Performance functionals discrete-time systems; principle of optimality; Hamilton-Jacobi equation; finite-time solutions; steady-state solutions; asymptotic properties; design.

    Requisites: EE 7963
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Construct performance functionals for DT systems.
    • Develop finite-time solutions to control of LTI systems.
  
  • EE 8233 - Nonlinear Control System Design


    Advanced controller and observer design techniques for nonlinearsystems: gain-scheduling, trajectory linearization, feedback linearization, and selected topics such as sliding mode, back-stepping, passivity-based, adaptive and intelligent control techniques

    Requisites: EE 6233
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 2.0 lecture, 1.0 seminar
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • A mastery of a tool-set of advanced nonlinear controller and observer design techniques.
    • A mastery of computer simulation for nonlinear control systems with a significant level of complexity and realm.
    • An ability to conduct research in advanced nonlinear control.
    • An understanding of advanced nonlinear control theory such as controllability, observability and stabilization of nonlinear dynamical systems by analytic, differential algebraic, and differential geometric methods.
  
  • EE 8900 - Special Topics in Electrical Engineering


    Current developments in electrical engineering. Selected topics offered at instructor discretion.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May be repeated for a maximum of 6.0 hours.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • At discretion of instructor.
  
  • EE 8940 - Doctoral Research


    Doctoral research.

    Requisites:
    Credit Hours: 1 - 9
    Repeat/Retake Information: May be repeated for a maximum of 40.0 hours.
    Lecture/Lab Hours: 2.0 research
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Doctoral research.
  
  • EE 8950 - Dissertation


    Doctoral dissertation research and writing.

    Requisites:
    Credit Hours: 1 - 9
    Repeat/Retake Information: May be repeated.
    Lecture/Lab Hours: 2.0 thesis/dissertation
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Doctoral research.
  
  • EH 5000 - Environmental Health and Safety Risk Communication


    Hands on application of principles in communicating environmental health and safety risks to the public. Students will work on current environmental health and safety issues to develop and implement risk communication plans.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Apply risk communication concepts to multiple scenarios involving environmental issues.
    • Complete a case study of a risk communication scenario.
    • Demonstrate an improvement in communicating risks to the public.
    • Identify the key concepts behind the public perception of environmental health and safety risks.
  
  • EH 5100 - Air, Waters and Wastes


    Covers air and waters (potable, sewerage, surface, etc.) pollution. Problems in and solutions to the storage, collection, and disposal of hazardous and nonhazardous wastes with special emphasis on life cycle analysis and risk assessment.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Apply specific enforcement codes and regulations for air, waters, and wastes issues.
    • Describe the laws and regulations applicable to air, waters, and wastes.
    • Explain sources of pollution in air and waters, and how to control them effectively.
  
  • EH 5200 - Health and the Built Environment


    Physiological and psychological aspects of the impact of the built environment on health. Emphasis on housing and building standards, neighborhood design, health disparities, and sustainability. Highlights health outcomes associated with institutional settings such as prisons, hospitals, and schools.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Describe how to conduct assessments of the health and safety of indoor environments.
    • Describe the variety of factors affecting the indoor environment and how to control them.
    • Evaluate the impact of social determinants on health disparities.
    • Explain the laws and regulations applicable to indoor environments.
    • Summarize the role that environmental health professionals can play to influence healthy communities.
  
  • EH 5300 - Food Quality and Vector Control


    Emphasizes the topics of foodborne diseases and regulatory programs relative to sanitary inspection and control of food service and processing systems. Describes vector borne diseases of importance from a control perspective in environmental health.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Describe diseases associated with food and vector borne modes of transmission.
    • Explain the basics of Hazard Analysis Critical Control Point (HAACP) food safety and quality paradigm.
    • Recognize control opportunities for vector borne diseases.
  
  • EH 5400 - Occupational Safety and Health


    Provides knowledge and understanding of processes involved in the development and implementation of environmental health and safety programs. Focus on design, implementation, maintenance, and evaluation of workplace safety programs, with emphasis on inspection programs, planning, administration, and communication. Extensive coverage of OSHA regulations and OSHA 30- and 40-hour safety training.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Ability to identify industrial hazards for which regulations exist.
    • Application of federal regulations and best practices to injury and risk reduction.
    • Explain safety science techniques to identify unsafe workplaces.
    • Describe the safety profession within the health, safety, environment paradigm.
  
  • EH 5900 - Special Topics in Environmental Health


    Specific course content will vary with offering.

    Requisites:
    Credit Hours: 1 - 15
    Repeat/Retake Information: May be repeated.
    Lecture/Lab Hours: 1.0 lecture
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will increase their knowledge in Environmental Health.
  
  • EH 6010 - Climate Change and Public Health


    Many environmental scientists, public health professionals, and policymakers believe that climate change poses one of the greatest threats to global health; this course explores the possible public health outcomes of climate change. Topics covered include human health effects from vector-, water-, and foodborne diseases; disaster and weather-related health effects; and possible solutions.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Be aware of public health adaptation and mitigation policies to manage the risks of climate change.
    • Become aware of the special vulnerability in developing countries as a result of climate change.
    • Comprehend the scientific principles and basic concepts of climate change.
    • Develop skills in critical thinking for making recommendations to reduce the potential adverse health impacts of climate change on health in a specific community.
    • Have an improved understanding of the epidemiologic methods used to analyze associations between climate change and health outcomes.
    • Identify knowledge gaps and know where to find further sources of information.
    • Understand how climate change can impact human health and know the major predicted health effects from climate change.
  
  • EH 6900 - Special Topics - Environmental Health


    Provides a forum for students interested in environmental health, safety, and industrial hygiene to express their views on current topics in the profession. Instructors will facilitate reviews of current research, emerging interest areas, graduate education, the job market, and other topics.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May be repeated for a maximum of 6.0 hours.
    Lecture/Lab Hours: 3.0 seminar
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Apply professional level decision making and information tools
    • Creation of a professional level resume, cover letter, and list of references
    • Demonstration of professional level presentation abiliities across two or more topical areas
    • Describe current research aspects of profession
    • Explain graduate school options, funding, application procedures, and outlook
    • Explain professional ethics and codes of conduct for professionals
  
  • EH 6930 - Independent Study


    Assignments and content will vary with each individual student.

    Requisites: Permission required
    Credit Hours: 1 - 6
    Repeat/Retake Information: May be repeated for a maximum of 12.0 hours.
    Lecture/Lab Hours: 6.0 independent study
    Grades: Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Accomplishment of pre-determined goals as agreed to ahead of registration with instructor of record
  
  • ELIP 5100 - Critical Reading and Analysis


    This course is to assist graduate students in managing their academic reading load. Critical Reading and Analysis focuses on developing/improving efficient reading habits and techniques, improving reading rate and comprehension, increasing vocabulary, recognizing and developing information organization, and sharpening critical thinking skills. Students will also practice identifying the rhetorical style of texts. This course incorporates readings from various genres and readings from students’ own fields.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May be repeated for a maximum of 15.0 hours.
    Lecture/Lab Hours: 3.0 seminar
    Grades: Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will be able to apply strategies to recognize and retain critical information from texts.
    • Students will be able to apply strategies to recognize and retain important vocabulary.
    • Students will be able to apply the concepts of summary and paraphrasing in both verbal and written form.
    • Students will be able to recognize and use standard academic rhetorical styles.
    • Students will improve their ability to read, skim, and scan accurately and efficiently.
    • Students will improve their critical reading and thinking skills.
    • Students will improve their information management skills, including database searching.
  
  • ELIP 5120 - Graduate Reading and Writing


    Designed to help international graduate students work toward their goal of becoming independent and skilled readers and writers in their disciplines. Course writing assignments focus on their disciplines and include summaries, response papers, and essays. The course also addresses plagiarism and citation of sources, ways to develop a more academic vocabulary, and grammar topics such as verbs, articles, and sentence control. Reading skills are strengthened using texts from students’ academic courses. Whenever possible, students work on assignments they have for discipline-related courses, and individualized attention is given.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 seminar
    Grades: Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will analyze source texts for main arguments, author stance, and supporting details.
    • Students will critique and compare source texts in order to effectively use them in their own writing.
    • Students will effectively organize their academic writing, specifically, summaries, response papers, and essays.
    • Students will effectively paraphrase, summarize, and use direct quotations according to a citation style guide.
    • Students will employ self-editing skills in order to improve in areas of grammatical weakness.
    • Students will use academic vocabulary, phrasing, and style.
  
  • ELIP 5140 - Academic Writing in Graduate Studies


    Graduate students develop the skills they need to become successful writers in their academic and post-academic careers. Course topics include writing a critique, annotated bibliography, and literature review. Strategies for organizing and developing thoughts, writing concisely in an academic style, and proofreading are also covered, as is following a citation style. Whenever possible, students work on assignments they have for discipline-related courses, and individualized attention is given.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 seminar
    Grades: Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will critique, categorize, and combine source text ideas in order to build an argument.
    • Students will edit and proofread their own academic writing.
    • Students will effectively organize their academic writing, specifically, critiques, literature reviews, and research papers.
    • Students will effectively paraphrase, summarize, and use direct quotations according to a citation style guide.
    • Students will use academic vocabulary, phrasing, and style.
  
  • ELIP 5160 - Writing for Research


    Guides students through the process of writing up primary research following the guidelines/practices of their field. The intended audience is students writing up their research or research plan, such as writing a proposal, final research project, thesis, dissertation, or article for publication. Organizing and writing up the literature review, methods, results, and discussion sections will be covered. Additionally discussed are avoiding plagiarism, following a citation style guide, and using an academic writing style. Individualized attention is given.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May be repeated for a maximum of 15.0 hours.
    Lecture/Lab Hours: 3.0 seminar
    Grades: Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • To introduce students to the research prospectus, thesis/dissertation, or article writing process with the focus on both the rhetorical framework and grammatical patterns germane to these tasks and the purpose of the research project.
    • To provide training and assistance with the use of sources, including employing accurate citation practices and using sources to build an argument.
    • To provide training for the development of self-editing and proofreading skills.
  
  • ELIP 5180 - Professional Writing in Public Administration


    Provide writing assistance for students in the Online Executive Masters of Public Administration Program in the Voinovich School of Leadership and Public Affairs. As such, topics include finding, evaluating, and organizing content; building and supporting an argument; writing in a professional style appropriate for public administration; and using sources effectively while following APA style. Writing assignments will be tailored to meet the requirements of MPA coursework. The course consists of three modules, with one on-site visit per module and the remaining work to be completed via the online course management system. Student interaction occurs during on-site visits as well as via the online portion of the course.

    Requisites:
    Credit Hours: 1
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 1.0 seminar
    Grades: Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will edit and proofread their own academic and professional writing.
    • Students will effectively organize their writing with respect to purpose and according to the guidelines within Public Administration.
    • Students will successfully write book reviews, critiques, and literature reviews related to concurrent academic coursework within Public Administration.
    • Students will use academic vocabulary, phrasing, and style according to the guidelines within Public Administration.
  
  • ELIP 5200 - English Pronunciation


    The major emphasis in this course is on helping international students improve their pronunciation of American English for overall intelligibility and comprehension. Topics include specific vowel and consonant sounds, intonation, rhythm, fluency, and word stress. The course also helps students improve their listening comprehension and practice using correct grammatical structures. Whenever possible, students work with material from their disciplines, and there is considerable individualized instruction. Awareness of American culture and conversation conventions is also discussed and practiced.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 tutorial
    Grades: Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will discuss American culture and intercultural communication strategies.
    • Students will improve their listening comprehension of English as they become accustomed to the features of natural and spontaneous speech such as reductions and linking.
    • Students will improve their pronunciation of English in terms of individual vowel and consonant sounds.
    • Students will improve their pronunciation of English in terms of intonation, rhythm, word stress, and fluency.
  
  • ELIP 5220 - Classroom Communication Skills for International Teaching Assistants


    The major emphasis in this class is on developing the language skills necessary for effective teaching, which include fluency, use of discourse markers, and the structural control needed for defining and explaining. In addition, considerable attention will also be given to the language necessary for effective interaction with undergraduate students, to meeting the pronunciation needs of both the class as a whole and the individual student and to the awareness of expectations for TAs and the academic situation in the United States generally.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May be repeated for a maximum of 6.0 hours.
    Lecture/Lab Hours: 3.0 seminar
    Grades: Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will discuss cultural aspects of the American academic community and analyze how the aspects apply to teaching.
    • Students will improve their oral presentation and critical listening skills necessary for different types of classroom interaction.
    • Students will increase the intelligibility of their speech by improving their American English pronunciation.
  
  • ELIP 5300 - Oral Communication in Graduate Studies


    The goal of this highly interactive course is to equip students with the oral communication skills and confidence needed to succeed in professional and academic communities. Students explore strategies for effective public speaking and implement those strategies through a variety of presentations and group discussion projects. Other topics include oral summaries and presenting to diverse audiences.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 seminar
    Grades: Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will be able to effectively organize and deliver presentations, including to diverse audiences.
    • Students will be able to create and use effective visual aids.
    • Students will be able to summarize and synthesize information from various sources.
    • Students will be able to effectively lead and participate in group discussions on professional and/or academic topics, to diverse audiences.
  
  • ELIP 5320 - Oral Communication for the Graduate Researcher and Presenter


    The goal of this course is to help students refine their communication and presentation skills for graduate and post-graduate work. Topics include defending a thesis/dissertation proposal, presenting at a conference/job talk, giving a poster session, and performing in an interview. Creating and effectively using slides and/or handouts will also be covered. In addition, organizing ideas, using clear discourse markers, using nonverbal language effectively, and maintaining a strong presentation presence will be integral to the course.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 seminar
    Grades: Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will anticipate and be prepared to answer potential defense and interview questions.
    • Students will create and use effective slides and handouts for presentations.
    • Students will effectively use discourse markers, nonverbal language, and strong organization for coherent presentations.
    • Students will speak confidently and coherently in high-stakes environments such as defenses, interviews, presentations, or poster sessions.
  
  • ELIP 5900 - Special Topics in English Language Improvement Program


    Specific course content will vary with offering.

    Requisites:
    Credit Hours: 1 - 15
    Repeat/Retake Information: May be repeated.
    Lecture/Lab Hours: 1.0 lecture
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will increase their knowledge in English Language Improvement Program.
  
  • ELIP 6000 - Special Studies in Graduate Writing


    Directed individual investigation and practice of particular area of interest in graduate writing.

    Requisites:
    Credit Hours: 1
    Repeat/Retake Information: May be repeated for a maximum of 10.0 hours.
    Lecture/Lab Hours: 1.0 tutorial
    Grades: Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students should be able to apply the concepts of specialized study to their graduate writing.
  
  • ELIP 6100 - Special Studies in Oral Communication


    Directed individual investigation and practice of particular area of interest in graduate writing.

    Requisites:
    Credit Hours: 1
    Repeat/Retake Information: May be repeated for a maximum of 10.0 hours.
    Lecture/Lab Hours: 1.0 tutorial
    Grades: Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students should be able to apply the concepts of specialized study to their oral communiation skills.
  
  • ELIP 6900 - Special Topics in English Language Improvement Program


    Specific course content will vary with offering.

    Requisites:
    Credit Hours: 1 - 15
    Repeat/Retake Information: May be repeated.
    Lecture/Lab Hours: 1.0 lecture
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will increase their knowledge in English Language Improvement Program.
  
  • EMGT 6000 - Foundations of Engineering Management


    Engineering management skills and executive leadership are required to meet the demands of both global and domestic markets. Modern corporations require engineering leadership to be creative and progressive, and to produce profitable performance. Will help engineers to broaden their understanding of management activities and their unique applications to engineering functions.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Develop an overall understanding of managing engineering and technology.
    • Develop techniques for managing projects.
    • Learn guidelines for managing their engineering career.
    • Learn the basic functions of technology management.
    • Understand how to approach managing technology through the product life cycle.
  
  • EMGT 6010 - Engineering Writing


    Designed to help students to develop the ability to think critically as a professional communicator by asking appropriate questions that will enable them to understand, develop, and produce effective communication using the following elements of thought: purpose, basic concepts, information sources and needs, underlying assumptions, inferences/conclusions, implications/consequences, points of view, and questions raised and addressed.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Conduct and report business research.
    • Develop correspondence appropriate to the job search.
    • Discuss topics relevant to the understanding of communication in a business environment (legal and ethical issues, critical thinking, and international/cultural issues).
    • Prepare and present effectively.
    • Report information in writing and orally.
    • Understand the ethical aspects of a decision and how to communicate them effectively.
    • Write both internal and external business correspondence.
  
  • EMGT 6100 - Statistics for Engineering Management


    Estimation theory, hypothesis testing, and statistical prediction, simple linear regression, multiple regression, transformations, analysis of variance, and simple experimental design.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Calculate and interpret hypothesis tests and confidence intervals for single samples.
    • Calculate and interpret hypothesis tests and confidence intervals for two samples.
    • Calculate probabilities of events in sample spaces, conditional probabilities, permutations and combinations.
    • Calculate the mean and variance for discrete and continuous random variables.
    • Create and interpret descriptive statistics through graphical techniques.
    • Determine appropriate point estimators for common sampling distributions: Standard normal, t distribution, F distribution, and chi-square distribution.
    • Determine, calculate and evaluate simple linear regression and multiple linear regression.
    • Utilize Analysis of Variance to test multiple means and evaluate regression models.
  
  • EMGT 6110 - Principles of Six Sigma


    Application of statistics to control of quality and reliability in products and services, including training in the Six Sigma DMAIC problem-solving methodology. Topics include: tools and techniques for statistically-based product and process improvement; design of acceptance sampling and process control systems, including attention to inspection and test methods; and design and implementation of quality assurance programs, including nonstatistical dimensions of quality systems.

    Requisites: EMGT 6100
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Apply control charts to control product and process quality.
    • Construct and use sampling plans for attributes.
    • Demonstrate the application of quality control methods to a non-manufacturing application.
    • Develop and analyze advanced control charts: CUSUM (cumulative sum) and EWMA (exponentially weighted moving average) charts.
    • Develop and analyze control charts for measuring defects.
    • Develop and analyze control charts for measuring proportion.
    • Develop and analyze control charts for variables using groups.
    • Develop and analyze control charts for variables using individual measurements.
    • Identify methods for reducing the variance in a process.
    • Identify sources of variance in a process.
    • Measure process and system capability ratios.
    • Utilize MINITAB software to develop control charts and analyze them.
  
  • EMGT 6120 - Quality Systems


    Focuses on the concepts of total quality management including: philosophies and frameworks of quality management, incorporating quality into strategic planning, leadership, process measurement and management, continuous quality improvement, and ISO 9000. Original writings by major figures in the quality movement, such as Deming, Juran, Tagucji, etc. will be discussed.

    Requisites: EMGT 6100
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Be able to incorporate quality into strategic planning.
    • Know the process for ISO 9000 certification.
    • Know the works of the major figures in the quality movement.
    • Understand process measurement and continuous quality improvement.
    • Understand the philosophy behind quality management.
  
  • EMGT 6200 - Information Systems Engineering


    An introduction to applications of information systems industry and the design and implementation of these systems. Students will also learn systems modeling and how to utilize a Rapid Application Development tool to extract needed information from a database.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Define the terms computer-based information systems and information technology.
    • Differentiate between data, information, knowledge and wisdom in the context of information systems, and explain how each one is acquired by using these systems.
    • Describe how information needs vary across the hierarchical levels of a company.
    • Explain the differences between Transaction Processing Systems, Enterprise Resource Planning Systems and Management Information Systems.
    • Describe common methods for data communications and explain how they enable the flow of information to support supply chains.
    • Use the concepts of big data, data analytics, data warehouses and dashboards to explain how knowledge based systems support operational decision-making, and create a simple knowledge based system.
    • Discuss issues relevant to data security.
    • Explain how logic-based programming can be used to create knowledge that supports operational decision-making.
    • Develop a logic-based program to determine trending in time series data.
    • Explain the advantages and disadvantages of using a database management system.
    • Use a Rapid Application Development (RAD) tool such as Microsoft Access to manipulate data in a database and display it for various user needs.
    • Describe the capabilities of enterprise-scale database management systems such as Microsoft SQL Server.
    • Explain why existing business processes must be reexamined when a new enterprise data system is adopted.
  
  • EMGT 6210 - Database Information Systems


    Introduction to application and development of database systems in industrial engineering. In addition, students will learn database theory, data modeling and SQL.

    Requisites: EMGT 6200
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Build a database/web server using a common development environment.
    • Design a set of relations for storing data.
    • Determine the locking requirements for concurrent access.
    • Determine what check constraints may be required for a table.
    • Develop a set of SQL DML statements to create a set of tables.
    • Develop complex SQL queries to retrieve required data.
    • Normalize a set of relations to 3rd normal form.
  
  • EMGT 6220 - Data Acquisition and Predictive Analytics


    The objective of this course is to teach students modern methods for data analysis and predictive analytics. Students will gain the knowledge to develop advanced queries and apply statistical methods and machine learning to analyze the data and make predictions in the engineering management context.

    Requisites: EMGT 6100 and EMGT 6200; no credit if taken after MBA 6325
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will be able to evaluate and redesign an existing database and apply basic and advanced SQL queries to analyze the data.
    • Students will be able to apply various data preparation methods to verify, cleanse, and visualize data sets.
    • Students will be able to analyze data and predict outcomes using various statistical modeling software programs.
    • Students will be able to apply statistical inference and machine learning methods on historical data to find patterns.
    • Students will be able to decide on the best course of action in the engineering management context, based on the critical evaluation using predictive analysis.
    • Students will be able to critically research and review the state of the art literature in data analytics.
  
  • EMGT 6300 - Project Management


    Modeling of project constraints using network methodologies such as CPM and PERT to determine activities critical to meeting a project deadline. Utilization of stochastic models to determine possible changes in the critical path. Will also cover methods for economic evaluation of project alternatives.

    Requisites: EMGT 6000 or enrolled in MS7271 program
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Allocate time and manpower resources to project activities.
    • Apply PERT/CPM methods for scheduling project activities.
    • Apply engineering economic methods to evaluate project alternatives.
    • Apply project management techniques in classroom and real-world projects.
    • Estimate and allocate budget to projects and their activities.
    • Plan engineering project activities and estimate their durations.
    • Schedule project activities, due dates and milestones.
    • Utilize one or more project management software tool to manage projects.
  
  • EMGT 6400 - Engineering Law


    Study of the legal system; domestic and international environments of intellectual property policy (including patents, trademarks, copyrights, and trade secrets), torts and various sources of personal, facility, products and enterprise liability; contracts and issues arising from various types of contractual relationships; and aspects of administrative law (dealing with agencies) and employment law.

    Requisites: EMGT 6000
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Formulate and understand legal arguments.
    • Learn the rudiments of locating and using legal source materials.
    • Understand domestic and international aspects of administrative law and employment law.
    • Understand domestic and international contracts and contractual relationships.
    • Understand domestic and international intellectual property policy.
    • Understand domestic and international torts and liability.
    • Understanding of the law as part of the business environment.
  
  • EMGT 6500 - Lean Thinking Methods


    The objective of this course is to teach students tools for applying lean thinking, lean principles and lean methods in manufacturing and service systems. Students will learn basic methods of the lean production, such as value-stream mapping, 5(6)-S, continuous flow, Kanban, SMED, A3, continuous improvement. The methods will be learned by practicing them in group discussions and in projects. Upon completion of the course, students will possess skills to apply lean methods in their working environments.

    Requisites: EMGT 6000
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Ability to estimate or calculate takt and cycle times.
    • Analyze setup operations and reduce changeover times.
    • Apply 5S method to improve a work area.
    • Apply A3 method of Lean management in the organization.
    • Apply and implement one-piece flow for product/part transfers.
    • Apply visual workplace principles and method in the organization.
    • Create a Value Stream Map (both current state and future state) of a manufacturing or service system.
    • Develop and implement mistake proofing devices.
    • Explain the objectives of applying lean analysis and continuous improvement to a manufacturing or service system.
    • Implement a kanban system for inventory management.
  
  • EMGT 6600 - Applied Accounting and Finance for Engineering Management


    Principles and techniques of accounting, finance, performance measures and decision making are examined and applied in the engineering management context. Methods of cost accounting are presented, compared and used. Relationships between cost, volume and profit are illustrated, and related parameters are calculated. Budgets for production, direct labor, manufacturing and other functions are prepared. Performance measures are analyzed and applied. Differential analysis techniques are used to support engineering management decisions. Financial statements and statements of cash flows are examined and interpreted to assess the financial health of engineering organizations.

    Requisites: EMGT 6000
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • List and differentiate between cost categories used in engineering activities such as manufacturing, and compute overhead rate, total cost and average cost per unit.
    • Explain differences between activity-based costing and conventional costing, and compute activity rates and product costs using activity based costing.
    • Record the flow of material, labor and overhead through a process costing system, compute parameters such as cost per unit, and prepare a cost reconciliation report.
    • Explain the interrelationships between cost, volume and profit, and calculate related parameters such as break-even point, margin of safety and degree of operating leverage.
    • Describe the differences between variable costing and absorption costing methods.
    • Prepare budgets for production, direct labor, manufacturing and cash accounts, and prepare a budgeted income statement and balance sheet.
    • Differentiate between a flexible budget and other budget types, and demonstrate how to read and interpret a report showing revenue and spending variances.
    • Calculate and describe the significance of key performance measures including return on investment, residual income, and manufacturing cycle efficiency, and display them in a balanced scorecard.
    • Demonstrate the use of differential analysis techniques, including time value of money measures, to support decisions such as make-or-buy, continuing or closing a product line, and making capital investments.
    • Prepare and interpret financial statements and statements of cash flows, and compute common financial ratios for activities such as asset management, debt management and profitability assessment.
  
  • EMGT 6700 - Engineering Leadership


    This course will provide information, experiences and skill development to aid the student in creating an inventory of leadership knowledge for lifelong development of effective leadership abilities. This will be accomplished through selected readings, supplemental videos, interviews of experienced leaders, reflections and discussions to explore, develop, and reinforce leadership development. Case studies from engineering leaders will be used for discussions of the principles being covered.

    Requisites:
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Develop an inventory of effective leadership skills.
    • Differentiate between leadership and management and understand how the effective leader uses management tools.
    • Employ period reflection to reinforce leadership characteristics, skill,s and development.
    • Provide examples of effective leadership styles using personal experience applied to Goleman’s identified styles.
    • Understand implications of personality inventories (Bolton, True Colors and MBTI) as applied to yourself and others.
  
  • EMGT 6900 - Special Topics in Engineering Management


    Specific course content will vary with offering.

    Requisites:
    Credit Hours: 1 - 15
    Repeat/Retake Information: May be repeated.
    Lecture/Lab Hours: 1.0 lecture
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will increase their knowledge in Engineering Management.
  
  • EMGT 6930 - Special Investigations


    Independent study of a topic in engineering management under the guidance of a faculty member.

    Requisites:
    Credit Hours: 1 - 6
    Repeat/Retake Information: May be repeated for a maximum of 12.0 hours.
    Lecture/Lab Hours: 2.0 independent study
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Apply engineering management methods as appropriate for the topic(s) covered by the project.
  
  • EMGT 6949 - Engineering Management Project


    Students are required to work on a project. They pick a topic of their choice and study in detail. Though not required, they are recommended to select this topic from the organization they are currently working. The project includes problem definition, solution techniques, analysis performed, results obtained, discussions, and conclusions.

    Requisites: EMGT 6010 and 6110 and 6200 and 6300
    Credit Hours: 3
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 3.0 lecture
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Demonstrate effective written communication.
    • Demonstrate the mastery of Engineering Management Methods.
  
  • ENG 5010 - Anglo-Saxon


    A reading course in Anglo-Saxon language and literature.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Emphasize the significance of the Norman Conquest in reshaping English literary styles and tastes.
    • Introduce the orthography, lexis, and grammar of Anglo Saxon (Old English).
    • Learn about Anglo-Saxon prosody.
    • Read a number of short Anglo-Saxon prose texts.
  
  • ENG 5020 - Old English Poetry


    An introduction to the poetry written in England between 650 and 1100.

    Requisites: ENG 5010
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Become familiar with the prosody of Old English poetry.
    • Explore the various genres of Old English poetry.
    • Introduce about the historical context of Old English poetry.
    • Read “Beowulf”.
    • Read a variety of short poems written in Old English.
  
  • ENG 5030 - English Language


    Sounds, inflections, syntax, and vocabulary of English from 1000 to present.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will be familiar with Old English, Middle English, Early Modern English, and Modern English.
    • Students will be familiar with linguistic theoreticians.
    • Students will be familiar with fundamental linguistic concepts.
    • Students will know the contemporary varieties of English in the US and around the world.
    • Students will know the historical origins of English and historical influences on change in the language.
  
  • ENG 5040 - American English


    An overview of the origins and development of American English.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Consider the influence on American English of figures such as Noah Webster.
    • Discuss dialectal developments and the range of dialects in today’s American English.
    • Discuss how in which American English developed from British English.
    • Discuss the changes in American English from the 18th century to the 21st century.
    • Do individual research into some aspect of American English.
  
  • ENG 5050 - Old Norse Language and Literature


    An introduction to Old Norse and to the Icelandic Sagas in the original language.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Explore the historical context of Old Norse and the sagas.
    • Learn to read elementary Old Norse.
    • Read Icelandic sagas.
  
  • ENG 5080 - Teaching Writing and Critical Inquiry


    Introduces students and teachers to writing-to-learn theories, concepts, and strategies central to the teaching of writing. To familiarize teachers with how writing-to-learn strategies can work, we will begin each class by engaging in informal writing exercises. Writing-to-learn concepts allow teachers to imagine curricula where writing creates knowledge, where ties to reading, writing, and thinking lead to inquiry, and where teachers integrate critical engagement through writing with various kinds of sources, from library sources to popular culture. Teachers will apply both theory and practice in the classroom and will design assignments that promote critical inquiry. Usually for students attending the Appalachian Writing Project.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Demonstrate ways of integrating writing to learn into grade specific contexts.
    • Demonstrate ways of integrating writing to learn into discipline specific contexts.
    • Understand and demonstrate the ties between writing and critical thinking.
    • Understand concepts of informal writing.
    • Understand writing to learn.
  
  • ENG 5090 - Medieval English Literature


    A seminar in the literature of medieval England (7th- through 15th- centuries).

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will be able to construct bibliographies and do research into literary topics and scholarship in medieval literature.
    • Students will be able to read and understand the various literary genres of medieval literature.
    • Students will be familiar with the origins and social functions of the five languages spoken in medieval England.
    • Students will have the ability to carry out scholarly research in medieval English literature.
    • Students will have the basic ability to read works in Middle English.
  
  • ENG 5100 - Teaching Literature


    This course is intended for secondary school English teachers, focusing on classroom approaches to literature in English.

    Requisites:
    Credit Hours: 2
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 2.0 seminar
    Grades: Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Become familiar with various ways of introducing literature in the classroom.
    • Explore the canonical works of British and American literature.
    • Explore various theoretical approaches to literature.
    • Practice different ways of leading discussions of literature.
  
  • ENG 5110 - The 18th-Century English Novel


    Development of the novel form in the 18th- century. Defoe through Austen.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Compare the works of various authors and types of novel (e.g., epistolary, picaresque).
    • Consider economic themes in the 18th-century novel.
    • Discuss prose antecedents of the 18th-century English novel (e.g., Malory’s MORTE DARTHUR).
    • Introduce the genre of the novel and its distinction from earlier long fiction written in verse.
    • Present various theoretical perspectives on the origins and growth of the novel form.
  
  • ENG 5120 - The 19th-Century Novel


    A study of the various forms of the English novel developing during the 19th- century.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Consider various forms of the 19th-century novel.
    • Explore the way the novel of the 19th century developed out of its eighteenth-century beginnings.
    • Learn about popular themes and concerns of 19th-century novels.
  
  • ENG 5130 - Early Modern British Literature


    Genres and authors of literature written during the English Renaissance, 1500-1700.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Develop an ability to read literature written in Early Modern English.
    • Explore the development of Early Modern English drama and its origins in medieval drama.
    • Explore the development of Early Modern English poetic forms and themes, especially the sonnet.
    • Explore the development of prose as a new medium for fiction.
    • Provide the historical context of Early Modern Literature.
  
  • ENG 5140 - The Works of Edmund Spenser


    Selected topics in the works of Spenser.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Become familiar with Spenser’s poetic forms.
    • Do scholarly research and writing on Spenser’s works.
    • Explore the literary and historical context of Spenser’s work.
    • Read “The Faerie Queene” and some of Spenser’s shorter poems.
  
  • ENG 5160 - Teaching Oral Language


    Intended for secondary school English teachers. It explores the varieties of spoken English present in the secondary school classroom and pedagogical strategies that acknowledge those varieties and focuses on Appalachian English and African American English.

    Requisites:
    Credit Hours: 2
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 2.0 seminar
    Grades: Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Consider the concept of any variety of English as a standard and the implications of that concept.
    • Discuss the problems posed when different varieties of American English are spoken in the secondary classroom.
    • Explore the characteristics of African American English.
    • Explore the characteristics of Appalachian English.
    • Explore the reasons and ways in which the teacher may support children’s home dialects.
    • Introduce the concept of varieties of spoken English.
  
  • ENG 5170 - The Works of John Milton


    Topics in the life and works of John Milton

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Explore Milton’s life and his relationship to the great events of his time.
    • Explore the historical and literary context of Milton’s works.
    • Study Milton’s prose works.
    • Study Milton’s short poems.
    • Study “Paradise Lost” and “Paradise Regained”.
  
  • ENG 5180 - Literature of the English Restoration


    Selected topics in the literature of England after the restoration of the monarchy.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Compare the literature of satire and the literature of sentimentality in the Restoration period.
    • Explore the consequences for literature and drama of the restoration of the monarchy.
    • Study the development of the genres of prose fiction and of poetry during the Restoration period.
    • Study the effects of the 18th-century English civil war on English literature.
  
  • ENG 5190 - The Literature of 18th-Century England


    Selected topics in the literature of 18th-century England.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Become familiar with the historical events of the English Civil War and the Restoration.
    • Explore the beginnings and development of the English novel in the 18th-century.
    • Learn about the bearing of those events on the literature of the 18th-century.
    • Study the changing nature of eighteenth-century English drama, e.g., Comedy of Manners, etc.
    • Study the poetry of the Augustan age, especially that of Dryden and Pope.
  
  • ENG 5210 - Teaching Drama


    Teaching of drama intended for secondary school teachers of language arts.

    Requisites:
    Credit Hours: 2
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 2.0 seminar
    Grades: Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Consider techniques of teaching the literature of drama in connection with mini-performances.
    • Explore methods of introducing such plays.
    • Read a variety of English plays accessible to secondary-school students.
  
  • ENG 5220 - The Works of Chaucer


    An introduction to the origins, sources, language, and themes of Geoffrey Chaucer’s works (1342-1400).

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Approach Chaucer as a writer of dream-visions and romance (e.g., “Book of the Duchess,” “Troilus and Criseyde,” and “House of Fame”).
    • Become familiar with Chaucerian scholarship.
    • Compare dramatic and non-dramatic readings of The Canterbury Tales.
    • Explore the structure and themes of The Canterbury Tales.
  
  • ENG 5230 - Literature of the Romantic Period


    Selected topics in English Romanticism.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Analyze one text in light of the course learning.
    • Develop an understanding of the historical and literary context of English Romanticism.
    • Understand key Romantic concepts like emotion and the emphasis on nature.
  
  • ENG 5240 - The Works of William Shakespeare


    Intensive study in specific critical and historical problems connected with the works of William Shakespeare.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Become familiar with the historical and literary context within which Shakespeare wrote.
    • Consider the origin of the various surviving versions of Shakespeare’s plays.
    • Study Shakespeare’s plays within the context of the time in which they were written.
    • Study the social and legal history of Shakespeare’s time.
  
  • ENG 5250 - Victorian Poetry


    Selected topics in the literature of Victorian England.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Explore the various popular genres of Victorian literature.
    • Study the great works of Victorian literature.
    • Study the historical and literary context of Victorian England.
  
  • ENG 5260 - 19th-Century Prose


    Topics in the prose literature of 19th-century England.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Become familiar with historical and social developments in England in the 19th-century.
    • Become knowledgeable about current scholarship on 19th-century prose literature.
    • Explore the central themes of the 19th-century English novel.
    • Recognize circumstances leading to the development of Romantic and Victorian literature.
  
  • ENG 5300 - American Literature 1776-1865


    Selected topics in American literature through the Civil War with an emphasis on works by American Indians.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Consider colonialism and its influence on and through literature.
    • Develop an appreciation for the literature of the Americas and how they relate to colonialism.
    • Understand the early historical context of the United States.
  
  • ENG 5310 - Major Medieval Genre


    Selected topics in Medieval Literature (course varies on needs of students and instructor interest).

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Consider the relationship of Medieval literature to literature from later periods.
    • Develop an appreciation for different ways of thinking in the Medieval period.
    • Understand the Medieval period through literature and historical context.
  
  • ENG 5320 - Renaissance Drama excluding Shakespeare


    Selected topics in Renaissance Drama. Student will explore writers other than Shakespeare who impacted the period.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • See the historical context of the Renaissance period.
    • Analyze literary works by Marlow, et al.
    • Consider the relationship of renaissance drama to drama in later periods.
  
  • ENG 5330 - American Literature 1865-1918


    Selected topics in American Literature between the Civil War and WWI.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Analyze the continued influence of colonialism.
    • Consider especially what American Indian writers contribute to our understanding of the period.
    • Understanding historical and literary context of the United States.
  
  • ENG 5350 - African American Literature


    Selected topics in African American literature (course varies based on instructor and student interest).

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Think about African American literature in terms of Africa and colonialism.
    • Understand historical circumstances informing African American literature.
    • Understand how African American literature informs other literature of the period.
  
  • ENG 5360 - Critical Theory I


    Introduction to critical theory.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Students will consider how our ideological positions influence the way we read texts / the world.
    • Students will reflect upon our ways of knowing the world.
    • Students will understand colonialism and its effects.
  
  • ENG 5370 - Critical Theory II


    Selected topics in critical theory.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
  
  • ENG 5400 - Studies in Comparative Literature


    Studies in the fiction and lyric poetry of more than one literary and historical tradition.

    Requisites:
    Credit Hours: 4
    Repeat/Retake Information: May not be retaken.
    Lecture/Lab Hours: 4.0 seminar
    Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
    Learning Outcomes:
    • Compare English dramatic traditions with the dramatic traditions of other languages and cultures.
    • Compare English fiction in both prose and poetry with fiction written in other languages.
    • Compare English lyric poetry with the lyric poetry of other cultures.
    • Consider literary forms across linguistic boundaries.
    • Consider the historical and cultural influences leading to various literary themes and forms.
 

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