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Ohio University Graduate Catalog 2017-19 [Archived Catalog]
Courses
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EDTE 7230 - Laboratory Reading/Language
Provides an in-depth study of the pedagogical issues surrounding the instruction of students with reading/literacy problems. Candidates will have a practical experience working with these students.
Requisites: EDTE 7220
Credit Hours: 3 - 10
Repeat/Retake Information: May be repeated for a maximum of 10.0 hours.
Lecture/Lab Hours: 3.0 seminar, 2.0 practicum
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 7240 - Literature for Children and Adolescents
Seminar in critical analysis of research and theory related to children’s and adolescent literature. Opportunity to study individual problems.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 seminar
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 7260 - Secondary Reading Instruction
Materials, methods, and techniques of secondary reading instruction for teaching adolescent learners of various abilities. Emphasis on diagnosis of reading difficulties and adaptation of materials and teaching methods for content area instruction. This course contains a practicum experience working with an adolescent student with reading/literacy difficulties. Instruction is within one of the student’s content areas with which the student is having problems in school.
Requisites: EDTE 7220
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 2.0 lecture, 2.0 practicum
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 7300 - Curriculum in Mathematics Education
Critical evaluation of literature and recent research on objectives, content, and methodology. History of instruction, current problems and issues, recent trends and emphases in teaching practices. Impact of dominant theories of learning and philosophies of education.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 7370 - Piaget’s Theory of Constructivism and Its Application in Education
This course will examine Piaget¿s Constructivism by examining his own writings. In this course we will read together from books written by Piaget¿s and discuss how it relates to educational practice and pedagogy.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 4.0 seminar, 4.0 discussion
Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I
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EDTE 7380 - Democratic Education and other Progressive Models
This course will examine the Democratic Education movement and other progressive education initiatives. Specifically we will examine the writings of Jean Jacques Rousseau, Johann Heinrich Pestalozzi, A.S. Neill, Ivan Illich and John Caldwell Holt to examine the tenants of democratic education and the de-schooling and un-schooling movements.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 seminar
Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I
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EDTE 7400 - Curriculum in Science Education
History of science instruction, curriculum problems, issues, recent trends, and emphases in teaching practices. Impact of dominant theories of learning and philosophies of education on current curriculum changes in science. Critical review of existing conventional programs used as a background for examining experimental programs. Emphasis on historical development of science education from dominance of nature study and aesthetics to modern experimental programs.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 7500 - Inquiry and Value Clarification in Social Studies
Critical discussion of curricula for the social sciences, social life in classrooms, schools and communities, and social justice. Emphasis is placed on active teaching, inquiry, problem-based and service learning, teaching of social studies.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 seminar
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 7600 - Readings and Research in Human Development
Interpretation of scientific literature on human development as related to classroom experience in preschool through adolescence. Independent projects and solving selected educational problems.
Requisites: Permission required
Credit Hours: 1 - 6
Repeat/Retake Information: May be repeated for a maximum of 6.0 hours.
Lecture/Lab Hours: 3.0 seminar
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 7900 - Advanced Seminar in Education Research
Review of current literature and research in education. Preparation of research proposal.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 seminar
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 7920 - Curriculum and Instruction Practicum
Extended, supervised experience in a classroom or other educational setting for a) active engagement in curriculum and instruction and/or teaching and learning processes, b) systematic documentation and analysis of curriculum and/or instructional processes and/or curriculum change and/or instructional change initiatives, c) application of an action inquiry framework to guide active participant-observation, and d) presentation of poster at Research and Creative Activity Event and/or preparation of a manuscript to be submitted for publication.
Requisites: EDTE 7150 and 7160
Credit Hours: 1 - 6
Repeat/Retake Information: May be repeated for a maximum of 12.0 hours.
Lecture/Lab Hours: 4.0 practicum
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8000 - Advanced Dynamics of Human Learning
Study and critique of major theories of learning and human development; analysis of present and future social and cultural changes and their potential impact on human learning and development.
Requisites: Master’s degree
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8020 - Dynamics of Change in Education
Analytical study of theories, concepts, and strategies and roles of change agents as related to change in education.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 seminar
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8040 - Writing for Publication
This course is designed to introduce doctoral students to the professional publication process and the crafting of literature reviews. Students will become familiar with editorial policies of relevant periodicals, identify various professional publication outlets and review a manuscript using professional editorial criteria. The course will culminate in a manuscript or alternative product that will be submitted for publication.
Requisites: Permission required
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I
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EDTE 8100 - Seminar in Theories and Practices for Mentoring
Critical review of theory, research, issues, and new directions in the study of mentoring and development of mentoring practices and programs in schools and other educational settings.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 seminar
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8200 - Research and Curriculum in Elementary Education Reading
Critical evaluation of literature and recent research on objectives, content, and methodology. History of instruction, current problems and issues, recent trends and emphases in teaching practices. Impact of dominant theories of learning and philosophies of education.
Requisites: EDTE 7200
Credit Hours: 3 - 10
Repeat/Retake Information: May be repeated for a maximum of 10.0 hours.
Lecture/Lab Hours: 3.0 seminar
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8230 - Research and Curriculum in the Literacy Clinic
Independent study with topic restricted to some aspect/level of reading instruction.
Requisites: EDTE 7200
Credit Hours: 3 - 10
Repeat/Retake Information: May be repeated for a maximum of 10.0 hours.
Lecture/Lab Hours: 3.0 seminar
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8240 - Researh and Curriculum: Literature in a Reading/Literacy Program
Independent study with topic restricted to some aspect/level of language arts instruction.
Requisites: EDTE 7210
Credit Hours: 3 - 10
Repeat/Retake Information: May be repeated for a maximum of 10.0 hours.
Lecture/Lab Hours: 3.0 seminar
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8310 - Practicum in Mathematics
Practicum in teaching math prior to the professional internship.
Requisites:
Credit Hours: 1 - 3
Repeat/Retake Information: May be repeated for a maximum of 3.0 hours.
Lecture/Lab Hours: 6.0 laboratory
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8500 - Seminar in Social Studies Curriculum
Focuses on the foundations of social studies education. It includes an analysis of various schools of thought in the social studies, past and present, as well as school systems and delivery of the social studies curriculum.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 seminar
Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I
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EDTE 8510 - Seminar in Social Studies Research
Review of the social studies research literature. It includes a focus on current research topics featured in the field’s major scholarly journals as well other significant research publications.
Requisites: EDTE 8500
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 seminar
Eligible Grades: A-F,PR,WP,WF,WN,FN,AU,I
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EDTE 8520 - Seminar in Social Studies Education Research
Identification of reasonable problems that can be researched in social studies and development of appropriate research design.
Requisites: EDTE 8510
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 seminar
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8700 - Legal Issues in Special Education
Provides an in-depth and critical study of the historical evolution of legal issues in disabilities with attention to its constantly changing impact on policy and service systems for people with disabilities. Particular emphasis is placed on special education law as it applies to public schooling in limited resource environments.
Requisites: Permission required
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 4.0 seminar
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8720 - Critical Issues and Current Trends in Special Education
Examination of the most salient issues and questions facing the field of special education. Divergent perspectives regarding these challenges that currently confront the profession will be analyzed and evaluated, investigated, and collectively discussed along with trends that are profoundly altering both the manner in which special education teachers and administrators are professionally prepared, as well as the means by which children with diverse learning needs are delivered instruction in public school settings, with particular attention being given to the special challenges facing special educators and administrators in the delivery of quality services within limited resource environments
Requisites: Permission required
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 4.0 seminar
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8740 - Applied Research in Disablilites
Designed to provide an overview of applied research in disabilities and Special Education. Research will be grouped and analyzed according to the type of methodology employed, including literature reviews, experimental and quasi-experimental designs, single-subject designs, applied quantitative research, qualitative research, and meta-analysis. Specific studies/papers in each area are analyzed and critiqued, with an emphasis on identifying best practices in applied research. Complete a research proposal as a final product attending to the Special Education Program¿s focus which centers on the delivery of quality services within limited resource environments
Requisites: Permission required and EDRE 7200
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 4.0 seminar
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8900 - Special Topics in Education - Teacher Education
Specific course content will vary with offering.
Requisites:
Credit Hours: 1 - 15
Repeat/Retake Information: May be repeated.
Lecture/Lab Hours: 1.0 lecture
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8912 - Research and Curriculum: Language and Literacy
Supervised field experiences in reading.
Requisites: EDTE 7200
Credit Hours: 3 - 10
Repeat/Retake Information: May be repeated for a maximum of 10.0 hours.
Lecture/Lab Hours: 6.0 field experience/internship
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8920 - Practicum in Special Education
Provides applied learning experiences in a university, public school, governmental office, or agency and participation in professional activities which produces a tangible product. Experiences may include: college teaching, program development, grant writing, curriculum and/or program development, materials development, professional development to educators, policy development, and/or program management. Candidates will collaborate with professionals in special education, related services, an/or their professional colleagues. It will be a field based investigation intended to connect theory and research with practical application to enhance special education services in limited resource environments.
Requisites: Permission required
Credit Hours: 1 - 10
Repeat/Retake Information: May be repeated for a maximum of 10.0 hours.
Lecture/Lab Hours: 8.0 practicum, 0.5 seminar
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8921 - Practicum in Secondary Education English
In-depth study of the school system and its English curriculum with critique by faculty and report by student using available research.
Requisites:
Credit Hours: 1 - 6
Repeat/Retake Information: May be repeated for a maximum of 6.0 hours.
Lecture/Lab Hours: 6.0 practicum
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8922 - Practicum in Secondary Education- Modern Foreign Languages
In-depth study of the school system and its modern foreign language curriculum with critique by faculty and report using available research.
Requisites:
Credit Hours: 1 - 6
Repeat/Retake Information: May be repeated for a maximum of 6.0 hours.
Lecture/Lab Hours: 3.0 practicum
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8923 - Practicum in Science Education
In-depth study of theory and foundations of science curricula and instructional practices within given school system; analysis of research as it applies to science education in schools.
Requisites:
Credit Hours: 1 - 6
Repeat/Retake Information: May be repeated for a maximum of 6.0 hours.
Lecture/Lab Hours: 1.0 practicum
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8930 - Independent Study in Education
Pre-dissertation independent doctoral study to increase content knowledge and pedagogical content knowledge.
Requisites: Permission required
Credit Hours: 1 - 8
Repeat/Retake Information: May be repeated for a maximum of 8.0 hours.
Lecture/Lab Hours: 3.0 independent study
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8940 - Research in Mathematics Education
Research design and methodology in scientific investigations.
Requisites:
Credit Hours: 1 - 6
Repeat/Retake Information: May be repeated for a maximum of 6.0 hours.
Lecture/Lab Hours: 3.0 research
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8941 - Research in Science Education
Critical evaluation of recent research on objectives, content, and methodology in science education. Research design and methodology of these investigations studied in detail. Review of microfilm research studies and abstracts made to identify areas and problems requiring further research.
Requisites:
Credit Hours: 1 - 6
Repeat/Retake Information: May be repeated for a maximum of 6.0 hours.
Lecture/Lab Hours: 1.0 research
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EDTE 8950 - Dissertation
Dissertation research.
Requisites:
Credit Hours: 1 - 15
Repeat/Retake Information: May be repeated for a maximum of 15.0 hours.
Lecture/Lab Hours: 6.0 thesis/dissertation
Eligible Grades: F,CR,PR,WP,WF,WN,FN,AU,I
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EE 5003 - Computational Tools for Engineers
Provides an introduction to computational tools used extensively throughout graduate study in engineering. Topics include array manipulation, matrix computations, computer graphics, and symbolic manipulation. Also covered are programming language constructs and advanced data types. In addition, the course introduces computer-based modeling, simulation, and analysis of dynamic systems. Course concepts are applied to graduate-level engineering problem solving.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 5053 - Physical and Power Electronics
Simplified 1-dimensional band theory of solids. Valence and conduction band occupancy from Fermi-Dirac statistics. Hole conduction and doping. Derivation of PN junction volt-amp-temperature characteristic. DC and AC characteristics of junction transistors derived from fundamentals. Application of semiconductor theory to solid state devices. Charge control analysis. Electro-optical effects. Semiconductor devices for the conversion and control of electric power. Device protection.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 5143 - Design of Digital Circuits
Digital design of microelectronic circuits, simulation, verification, and specification. Structural design concepts, design tools. VHDL language, data types, objects, operators, control statements, concurrent statements, functions, and procedures. VHDL modeling techniques, algorithmic, RTL, and gate level designs. Introduction to very large scale integration (VLSI) technology and design of CMOS integrated circuits. VLSI fabrication process, design rules, logic design, performance estimation, chip engineering, and computer aids to VLSI design. Emphasis on virtual prototyping, circuit design, optimization, verification, and testing. Design synthesis.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 5183 - Micro and Nano Fabrication
Basic steps of fabrication used in the manufacturing of micro and nanoscale electronic devices. Si BiCMOS technology to be relevant to industry applications, while novel fabrication tools and processes used in the nanoscale engineering also included. Nanotechnology materials, devices and technologies that serve computing, communication and medical applications. Example applications chosen from CMOS chips, novel nanomaterials, MEMS/NEMS, photonics, and biomedical engineering.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 5213 - Feedback Control Theory
Introduction to analysis and design of feedback control systems. Introductory topics include mathematical modeling and computer simulation of physical systems, linear approximations of nonlinear systems, transfer function and state equation representations, and feedback control system block diagrams, characteristics, and performance specifications. Also covered are frequency domain methods for stability, sensitivity, robustness, and performance analysis and techniques for compensator design and simulation verification. MATLAB® and Simulink used extensively.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 5290 - Mechanics and Control of Robotic Manipulators
Classification and applications for mechanical manipulator systems. Manipulator motion description, forward kinematics transformations, and solution of inverse kinematics equations. Velocity kinematics and manipulator dynamics equations. Trajectory generation and control schemes including sensory feedback. Laboratory exercises to augment lecture material.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 5313 - Optoelectronics and Photonics
Introduction to fundamentals of the light propagation in solid media, passive devices like waveguides and optical fiber. Introduction to important modern active optoelectronic devices. Emphasizes basic physical theory needed to understand LEDs, laser diodes, photodetectors, photovoltaics and their construction and applications.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 5403 - Microwave Theory and Devices
Introduction to radiating systems, including descriptive parameters, radiation integrals, current distributions and their effect on antenna patterns, and how antenna arrays function. In addition, waveguiding systems at microwave and optical frequencies discussed.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 5523 - Introduction to Electric Power System Engineering and Analysis
Includes power system representation, computer methods, symmetrical components, protection methods, and stability.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 5673 - Embedded Systems
Introduction and history of embedded systems; defining embedded system using requirements; embedded system processors including microcontrollers, low-power microprocessors, digital signal processors and Field Programmable Gate Arrays (FPGA); distributed embedded systems; timing aspects of embedded systems; real-time operation and real-time operating systems as applied to embedded systems; the economy of embedded systems; fault tolerance; communication protocols overview and more detailed description of the Controller Area Network (CAN) and Time-Triggered Protocol (TTP) as well as some wireless networks used in wireless sensor networks; defining interfaces and the use of mixed-signal systems (digital and analog); design methodologies and tools.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 5683 - Computer Architecture
Emphasis on the design of advanced architectural concepts for multicores; performance trade-offs for multicores, advanced pipelining, superscalar and dynamic scheduling, limits of instruction level parallelism, multithreading and multicores, multi-level caching, virtual memory, I/O fundamentals and techniques, classification of parallel machines, shared memory multiprocessors, cache coherence, interconnection networks and clusters. Term paper/project involving computer hardware design and system simulation required.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 5713 - Communication Engineering
Fundamentals of communication system engineering, at the physical layer. Resources available for communication system design. Probability and stochastic processes for communication systems, including noise. Analog communication systems and their performance. Baseband digital communications, carrier modulated digital communications. Basic link budget analysis.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 5753 - Computer Network Communication
Computer networks with an emphasis on the design and working of the Internet. Protocol layers, service models, HTTP, FTP, electronic mail, UDP, TCP, congestion control, hierarchical routing, internet protocol (IP), IPv4, IPv6, data link layer, error correction and detection, multiple access protocols, Ethernet, bridges, hubs, wireless links, PPP, ATM, multimedia over IP, 4G wireless, bluetooth. Basic queueing theory and delay analysis. Basic security mechanisms, such as encryption, authentication and firewalls.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 5853 - Electronic Navigation Systems
Principles and theory of operation of electronic navigation systems with emphasis on avionics; aircraft instrumentation, VOR, DME, Inertial, Omega, LORAN, ILS, MLS, Transit, GPS, and air traffic control.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 5900 - Special Topics in Electrical Engineering
Selected topics of current interest in electrical engineering.
Requisites:
Credit Hours: 1 - 6
Repeat/Retake Information: May be repeated for a maximum of 9.0 hours.
Lecture/Lab Hours: 1.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6013 - Electromagnetic Wave Propagation in Electronic Navigation Systems
Electromagnetics and GPS background required. Electromagnetic principles and propagation of radio waves over the earth surface and through the atmosphere. Topics include groundwaves, skywaves, tropospheric and ionospheric effects, Total Electron Content, group and phase velocity, incident fields, reflection coefficients, Brewster angle, diffraction, scattering, Fresnel Zone.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6023 - Radar Systems
Electromagnetics and antenna background helpful. Theory of operation of radar systems. Topics include the radar equation, radar cross-sections, radar altimeter, Air Traffic Control radar, Doppler radar, weather radar, synthetic aperture radar, Mode A/C/S.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6033 - Inertial Navigation Systems
Principles of operation of inertial navigation systems. Topics include rigid body kinematics, observation equations, attitude update, earth rate and transport rate, position and velocity updates, initialization, orientation, sensor technology, error sources and propagation, Schuler period, vertical instability. Heavy emphasis on simulation in MATLAB.
Requisites: Graduate Standing
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6053 - Satellite-Based Navigation Systems
Some knowledge of GPS, navigation, mathematics, and computer science useful. Computer programming experience in MATLAB®. Theoretical development of spread spectrum ranging and positioning with space-based transmitters; ephemerides, broadcast signal structure; ranging observables; absolute and relative positioning methodologies; simple error source characterization and mitigation.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6063 - Integrated Navigation Systems
Theoretical development of positioning and navigation with multiple sensors; basics of estimation theory; classical versus Bayesian estimators; complementary filters, least squares estimators, Kalman filters and particle filters used for navigation purposes; application examples including GPS/INS integration and integration of INS with electro-optical sensors; fault detection and isolation.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6073 - Navigation Receiver Design
Theoretical development of receiver design with emphasis on spread spectrum ranging. Topics include: link budgets, antenna considerations, low-noise amplifiers, radio-frequency processing, down-conversion and intermediate frequency processing, in-phase and quadrature components, noise figure calculations, bandpass sampling, direct-sequence spread spectrum acquisition and tracking, theory and operation of numerically controlled oscillators and tracking loops, pseudorange and carrier-phase measurement generation. Heavy emphasis on processing of real data in MATLAB®.
Requisites: Graduate Status
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6083 - Aviation Standards, Software Design and certification
Overview of aviation standards including Federal Aviation Regulations, Technical Standard Orders, Advisory Circulars, RTCA documents and ARINC standards; systems engineering; safety-critical systems and the safety assessment of these systems; certification of aircraft systems; software design using military and civilian standards, IEEE software standards, software life cycle processes, program design language, documentation, testing, independent test verification, case studies.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6103 - Vehicle Control
Introduction to vehicle motion control theory and design. Mathematical modeling of aerospace, ground and marine vehicle motions in 6 Degrees-of-Freedom using (nonlinear differential) state equations will be introduced. Simplification assumptions and techniques are provided for the vehicle models to facilitate effective motion controller design. Stabilization and trajectory tracking controller design methods based on closed-loop dynamics assignment are taught along with computer simulations. An overview of more advanced topics will be provided to prepare the students for continuing studies.
Requisites: EE 6283
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6133 - High Accuracy Satellite Navigation Systems
Theoretical development of correction and measurement based differential satellite navigation technologies, with emphasis on advanced error mitigation techniques and error analysis. High accuracy code and carrier phase processing emphasized with presentation on carrier-phase ambiguity resolution techniques.
Requisites: EE 6053 or 605
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6153 - VLSI Systems Design
Communication and concurrency in computers; processor arrays; hierarchically organized machines. Structured design; layout algorithms; MOS cell library. Design tools; rule checking; timing analysis; switch level simulation; placement; and routing.
Requisites: EE 5143
Credit Hours: 3
Repeat/Retake Information: May be repeated for a maximum of 4.0 hours.
Lecture/Lab Hours: 2.0 lecture, 2.0 laboratory
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6163 - Computer Aided Analysis of Electronic Networks
Efficient numerical techniques for analysis of electronic circuits. Conveys a knowledge of advanced concepts of analog circuit simulation and design techniques. Emphasis on topics related to numerical analysis methods useful for the analog and mixed signal designs. General formulation techniques, sensitivity analysis, large change sensitivities, numerical Laplace transform inversion, solution of nonlinear networks, and circuit optimization discussed. Computer assignments completed using any computer language (C++, Pascal, Fortran) or simulation tool MATLAB®, MathCad, Mathematica).
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6173 - Fault Testable Design
Basic concepts of reliability. Physical faults and testing. Test generation for combinational and sequential logic circuits, random testing, and signature analysis. Fault tolerance and circuit redundancy, self testing and fail-safe design, fault tolerant VLSI design, practical fault tolerant systems. Self testing, design for testability, built-in test, boundary scan testing, IEEE standards.
Requisites: EE 5143
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6183 - Nanoelectronic Devices and Applications
Introduces fundamental and advanced concepts required for the understanding of electronic and ionic transport in micro and nanoscale devices. Reviews theory elements such as effective mass, band structure, electrostatics, screening, low and high-field transport, and scattering. Explores novel design tools and numerical techniques used for simulation of practical devices. Examines more closely the structure, operation, design principles, advantages and disadvantages, applications and future prospects for a wide range of traditional (diodes, MOSFETs, bipolar transistors etc.) and advanced (MODFETs, HBTs, nanowire and nanotube transistors, single-electron transistors, memristors, graphene devices, plasmonic devices, bio-molecular devices). On an orthogonal direction, surveys a number of critical technology fronts that many of devices reviewed may play an important role (ultra-low or high-power applications, high-performance solar devices, flexible electronics, THz devices and bio-nano sensors).
Requisites: EE 5183 and familiarity with the introductory level semiconductor devices course is useful for all students.
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6233 - Nonlinear System Analysis I
Introduction to nonlinear dynamical systems analysis: nonlinear dynamical system models, second-order nonlinear behaviors by phase plane analysis, including multiple equilibria, qualitative behaviors near equilbrium points, limit cycles and bifurcation; demonstration of chaotic behaviors by simulation; existence, uniqueness and sensitivity of solutions; Lyapunov stability and its assessment; input-output stability.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6283 - State-Space Methods in Control
Introduction to state-space methods for control system analysis and design. Topics include basic state-space concepts, writing state equations, solution of the state equation and the matrix exponential, relations to transfer functions, controllability and observability, stability, state-space methods of design including state feedback, state estimation, servomechanisms and an introduction to optimal control.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6323 - Theoretical and practical analysis of passive and active photonic devices in integrated technologies
Students taking this course must have had undergraduate courses in electromagnetic wave theory, differential equations, and vector calculus. This course is designed as an introduction to the basics elements of integrated optical devices. In the first part, we focus on the development of optical waveguides and investigate the utilization of these structures in passive photonic circuits. Critical properties such as waveguide loss, mode coupling, material loss, power flow, anti-guiding, coupling to optical fibers, and device fabrication will all be covered. In addition, to get a better understanding of the operation of these circuits, students will be required to simulate many of these structures using MatLab throughout the course. In the second part of the course, we extend this analysis to active devices. Modulation of the optical field through acousto-optic and electro-optic effects is studied, as well as the current technology of these structures. Light emitting devices are presented, focusing on the operation and theory of light emitting diodes (LEDs) and semiconductor lasers. The detection of light is presented with an analysis of semiconductor integrated detectors. Finally, recent progresses in integrated optics and novel concepts are studied to motivate research in these areas.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6333 - Integrated Optoelectronics and Photonics
Selected topics in engineering and operation of optoelectronic and integrated photonic devices and systems. Topics Include: epitaxial growth techniques relevant to strained and polar hetero-structures, recombination and carriers statistics, defects, lattice vibration, phonons, low dimensional structures, excitons, light propagation in anisotropic media, electro-optic effect, quantum confined Stark effect, magneto-optic effects. Selected advanced concepts in semiconductor bandstructure. Advanced device structure and modeling of LEDs, LDs, and light detectors. Selected topics in integrated optoelectronic and photonics.
Requisites: EE 5313
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6343 - Modern Optical Materials and Devices
Provides introduction and overview of modern materials used in optics and optoelectronics including semiconductors and meta-materials. Topics extend from materials science to engineering of optoelectronic and photonic devices. Emphasis on understanding fundamentals relevant to applications in integrated optical systems combining optical emission and detection from the IR through the visible to the UV, linear and nonlinear optical phenomena, dynamics of optical processes, magneto- and electro- optics, high-excitation effects. Well established photonic and optoelectronic devices, plus novel device approaches based on the latest technological developments explored.
Requisites: EE 6333 or 631
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6413 - Advanced Antenna Theory
Continuation of antenna theory, including arrays and their design, the effect of current distribution on patterns and directivity, field equivalence principle, aperture antennas, methods of optics, and pattern synthesis.
Requisites: EE 5403
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6473 - Computational Methods in Electromagnetics
Introduction to integral equations (IE), and important integral equations of electromagnetics, Method of Moments (MoM) and application to EM integral equations, overview of the Finite Difference Time Domain method, treatment of the presence of ground, Sommerfeld problem, use of a general-purpose MoM code, history of diffraction theory, overview of geometrical optics, Geometrical Theory of Diffraction, physical optics and the Physical Theory of Diffraction, hands-on use of several popular commercially available codes for antenna design and electromagnetic scattering.
Requisites: EE 5403
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6523 - Design and Control of Manufacturing Systems
Benefits of CIM, integrated databases, IDEF-0, IDEF-1x, flexible manufacturing systems. System design: requirements, design and implementation. Control and software design for manufacturing systems.
Requisites: ISE 6140 or ME 5060
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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EE 6633 - Architecture of Parallel Computers
Study of advanced superscalar and multithreaded architectures, cache hierarchies and shared memory architectures for multicores.
Requisites: EE 5683
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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EE 6950 - Thesis
MS thesis.
Requisites:
Credit Hours: 1 - 9
Repeat/Retake Information: May be repeated.
Lecture/Lab Hours: 1.0 thesis/dissertation
Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
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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
Eligible Grades: F,CR,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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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
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
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