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Topic 22: Computer Architecture: User System Interplay. Same as Mechanical Engineering 379N. Electrical and Computer Engineering 382C (Topic 7) and Electrical Engineering 382C (Topic 7) may not both be counted. Electrical and Computer Engineering 370 and Electrical Engineering 370 may not both be counted. Prerequisite: Upper-division standing, Electrical and Computer Engineering 313 (or Electrical Engineering 313) or 313H, and Mathematics 340L with a grade of at least C- in each. Examine dynamic programming in finite and infinite horizon, models with imperfect state information, ergodic control problems, and adaptive and risk-sensitive control. Three lecture hours and three laboratory hours a week for one semester. Explore the analysis and design of analog electronic circuits; transistor models; single-ended amplifiers; differential amplifiers; operational amplifiers; frequency response; feedback theory; stability analysis; circuit nonidealities; op-amp-based circuits; output stages; power amplifiers; passive and active analog filters; and relaxation oscillators Three lecture hours and three laboratory hours a week for one semester. Electrical and Computer Engineering 381K (Topic 5) and Electrical Engineering 381K (Topic 5) may not both be counted. Examine network structure and dynamics, machine learning on real networks, clustering; network models, small worlds, scale free networks, preferential attachment, community structure, network-on-chip optimization and control, epidemics and rumors, human mobility, network embedding, deep learning on graphs, graph neural networks, and other networks. Only one of the following may be counted: Electrical and Computer Engineering 382N (Topic 26), Electrical and Computer Engineering 382V (Topic: Crss-Lyr ML Algo/Hw Co-Dsgn), Electrical Engineering 382V (Topic: Crss-Lyr ML Algo/Hw Co-Dsgn). Explore electric drives and machines used in commercial and industrial applications. Prerequisite: The following coursework with a grade of at least B in each: Biomedical Engineering 306 or Electrical and Computer Engineering 306 (or Electrical Engineering 306) or 306H (or Electrical Engineering 306H); Electrical and Computer Engineering 319K (or Electrical Engineering 319K) or 319H (or Electrical Engineering 319H) or registration for Electrical and Computer Engineering 319H (or credit for Electrical Engineering 319H). Only one of the following may be counted: Biomedical Engineering 311, Electrical and Computer Engineering 411, 411H, Electrical Engineering 411. Where to Begin | Graduate School - University of Texas at Austin Topic 1: Detection Theory. Electrical and Computer Engineering 381K (Topic 19) and Electrical Engineering 381K (Topic 19) may not both be counted. Only one of the following may be counted: Electrical and Computer Engineering 364D, 364E, Electrical Engineering 364D, 364E. Introduction to quantum mechanics; atoms and molecules; electron statistics; quantum theory of solids; electronic phenomena in semiconductors; and device applications based on these phenomena. Only one of the following may be counted: Electrical and Computer Engineering 382N (Topic 21), Electrical Engineering 382M (Topic 15), 382N (Topic 21). Examine vector space, Green's function; equivalence theorem; vector potentials; plane, cylindrical, and spherical waves; and radiation and scattering. Only one of the following may be counted: Biomedical Engineering 343, Electrical and Computer Engineering 313, 313H, Electrical Engineering 313. Focus on functional testing. M.Ed. Examine a variety of clinical conditions and their associated neurological basis, and then analyze the engineering solutions to cope with the neurological deficits, with an emphasis on electrical and computer engineering components. Electrical and Computer Engineering 381C and Electrical Engineering 381C may not both be counted. Electrical and Computer Engineering 360K and Electrical Engineering 360K may not both be counted. Basic principles of optical tomographic imaging of biological materials for diagnostic or therapeutic applications. Prerequisite: Electrical and Computer Engineering 313 (or Electrical Engineering 313) or 313H with a grade of at least C-. May be repeated for credit when the topics vary. Undergraduate Degree Planning Map out a successful path to graduation by using this information on the Interactive Degree Audit (IDA), UT Planner, transferring credits, changing majors or degrees and graduating on time. Explore multidimensional signals and systems, multidimensional discrete Fourier analysis, discrete cosine transform, two-dimensional filters, beamforming, seismic processing, tomography, multidimensional multirate systems, image halftoning, and video processing. Same as Mechanical Engineering 386T (Topic 1). Electrical and Computer Engineering 316 and Electrical Engineering 316 may not both be counted. Electrical and Computer Engineering 385J (Topic 35) and Electrical Engineering 385V (Topic: Brain Computer Interaction) may not both be counted. Electrical and Computer Engineering 361G and Electrical Engineering 379K (Topic: Engineering Dynmc Prgrm Anly) may not both be counted. Bachelor's/Master's Integrated Program - Mechanical Engineering Topic 17: Wireless Communications Laboratory. Three lecture hours and three laboratory hours a week for one semester. Used to record credit the student earns while enrolled at another institution in a program administered by the University's Study Abroad Office. Explore market dispatch formulated as an optimization problem, unit commitment issues, and pricing rules and incentives in markets; energy- price and transmission-price risk hedging and energy network models; and revenue adequacy of financial transmission rights, a mixed-integer programming approach to unit commitment, the representation of voltage constraints into market models, and the design of electricity markets to mitigate market power. Topic 12: Real-Time Operating Systems Laboratory. Electrical and Computer Engineering 383L and Electrical Engineering 383L may not both be counted. Explore brief theory of direct and alternating current circuits; single-phase and three-phase power transmission; electronic devices and instrumentation; and electromechanics. Electrical and Computer Engineering 394J (Topic 10) and Electrical Engineering 394J (Topic 10) may not both be counted. Additional prerequisite: Knowledge in probability and random processes, digital signal processing, and digital communications. Three lecture hours a week for one semester. Electrical and Computer Engineering 380N (Topic 5) and Electrical Engineering 380N (Topic 5) may not both be counted. Courses. Examine random walk and Brownian motion; renewal and regenerative processes; Markov processes; ergodic theory; continuous parameter martingales; stochastic differential equations; diffusions; stochastic control; and multidimensional stochastic models. Electrical and Computer Engineering 382M (Topic 14) and Electrical Engineering 382M (Topic 14) may not both be counted. Examine fundamentals of runtime systems; design, implementation, and optimization of emulation engines; interpreters; binary translators; dynamic binary optimization; high-level language virtual machines; co-designed virtual machines; system-level virtual machines; and processor virtualization. Port-wine stain treatment; cancer treatment by photochemotherapy; and cardiovascular applications. Explore the development of a specific technical skill. Additional prerequisite: Knowledge in algorithms, concurrent and distributed systems, software testing, or consent of instructor. Electrical and Computer Engineering 382L (Topic 2) and Electrical Engineering 382L (Topic 2) may not both be counted. Only one of the following may be counted: Mechanical Engineering 386T (Topic 2), Electrical Engineering 396K (Topic 11), Electrical and Computer Engineering 396K (Topic 11). Electrical and Computer Engineering 460N and Electrical Engineering 460N may not both be counted. Topic 35: Brain-Computer Interaction. Engineering aspects of electromagnetic fields that have therapeutic applications: diathermy (short wave, microwave, and ultrasound), electrosurgery (thermal damage processes), stimulation of excitable tissue, and electrical safety. Topic 7: Ultrasonics. Introduction to computing including bits and operations on bits, number formats, arithmetic and logic operations, and digital logic. Spherical and cylindrical waves, radiation and scattering, multipole expansions, Green's functions, waveguides, sound beams, Fourier acoustics, Kirchhoff theory of diffraction, and arrays. Additional prerequisite: Knowledge in communications systems. Offered on the pass/fail basis only. Topic 3: Techniques of Laser Communications. Additional prerequisite: Knowledge in solid-state electronic devices. Explore applications of automation techniques to manufacturing systems, robotics, and computer vision. Only one of the following may be counted: Biomedical Engineering 381J (Topic 3), Electrical and Computer Engineering 385J (Topic 18), Electrical Engineering 385J (Topic 18). Examine software design principles, including modularity, coupling and cohesion; software engineering tools; elementary data structures; and asymptotic analysis. Electrical and Computer Engineering 382P (Topic 6) and Electrical Engineering 382P (Topic 6) may not both be counted. Undertake design and experimental projects with teams from multiple engineering disciplines. Prerequisite: Graduate standing and Electrical and Computer Engineering 381J (or Electrical Engineering 381J). Electrical and Computer Engineering 351M and Electrical Engineering 351M may not both be counted. Examine and analyze power quality and harmonic phenomena in electric power systems, including characteristics and definitions, voltage sags, electrical transients, harmonics, mitigation techniques, and standards of power quality and harmonics. Topic 19: Plasma Processing of Semiconductors I. Prerequisite: One of the following with a grade of at least C-: English 316L (or 316K), 316M (or 316K), 316N (or 316K), or 316P (or 316K). Review program analysis techniques for evolving software; incremental testing, debugging, and verification; static and dynamic dependency analysis; program transformations; and software visualization. Electrical and Computer Engineering 382C (Topic 11) and Electrical Engineering 382C (Topic 11) may not both be counted. Additional prerequisite: Consent of instructor. PDF Texas Early Childhood & Child Development Programs - TECPDS Topic 1: Power System Engineering I. Topic 9: Artificial Neural Systems. Explore the fundamentals of wireless communication from a digital signal processing perspective; linear modulation, demodulation, and orthogonal frequency division multiplexing; synchronization, channel estimation, and equalization; communication in fading channels; principles of multiple-input, multiple-output (MIMO) communication; and wireless standards. Degree requirements on older catalogs may include courses that are no longer offered, due to the change in CS curriculum. Home | Texas ECE - Electrical & Computer Engineering at UT Austin Examine structures for industrial robots; geometry and transformation; direct and inverse kinematics; differential kinematics; dynamics; trajectory planning; actuators and sensors; adaptive control and learning compliance; vision and pattern recognition; and expert systems. Same as Biomedical Engineering 381J (Topic 1). Prerequisite: Graduate standing in electrical and computer engineering and consent of the graduate advisor. In ECE, the ECE Track Advisor fills out the course equivalency section of the form and signs in the blank space below each equivalent course. Same as Biomedical Engineering 381J (Topic 2). Prerequisite: Electrical and Computer Engineering 364D (or Electrical Engineering 364D) with a grade of at least C-, and one of the following with a grade of at least C-: Electrical and Computer Engineering 438 (or Electrical Engineering 438), 440 (or Electrical Engineering 440), 445L (or EE445L), 445S (or Electrical Engineering 445S), 460J (or Electrical Engineering 460J), 461L (or Electrical Engineering 461L), 462L (or Electrical Engineering 462L), 468L, 471C (or Electrical Engineering 471C). Topic 14: Multidimensional Digital Signal Processing. Examine structured programming and debugging, machine and assembly language programming, the structure of an assembler, physical input/output through device registers, subroutine call/return; trap instruction, stacks and applications of stacks. Topic 15: Communication Networks: Technology, Architectures, and Protocols. Learn principles of deep brain stimulation, neuromodulation, and brain plasticity. Prerequisite: Graduate standing and Electrical and Computer Engineering 380K (or Electrical Engineering 380K). May be repeated for credit when the topics vary. Electrical and Computer Engineering 382C (Topic 1) and Electrical Engineering 382C (Topic 1) may not both be counted. Introduction to fundamental aspects of wireless communication systems including channel modeling, diversity, multiple antenna transmission and reception, beamforming, adaptive modulation. Topic 1: Neural Engineering. Explore analysis and design of radio-frequency electronic circuits including amplifiers, mixers, multipliers, detectors, and oscillators; transistor-, circuit-, and system-level design methods, challenges, and topologies; noise and distortion analysis; and evaluation of modern radio systems. Explore advanced problem-solving methods; algorithm design principles; complexity analysis; the study of the nature, impact, and handling of intractability; and the study of common algorithmic classes and their applications. Early Childhood Education - College of Education - UT Austin Students in the ECB program must satisfy the university Core Curriculum and the combined degree requirements for a Bachelor of Science in Electrical and Computer Engineering with the ECE Honors . Electrical and Computer Engineering 382N (Topic 3) and Electrical Engineering 382N (Topic 3) may not both be counted. Our faculty work closely with students on . Ph.D. in Curriculum and Instruction, 2017, Pre-primary Education Coordinator, Department of Education of the Central Tibetan Administration in India Topic 18: Electric Machinery and Drive Systems. Explore skill development and mentoring in start-up formation, technology development, market validation, marketing, sales, operations, human resources, program management, and finance. Curriculum | Texas ECE - Electrical & Computer Engineering at UT Austin Only one of the following may be counted: Mechanical Engineering 386T (Topic 1), Electrical Engineering 396K (Topic 10), Electrical and Computer Engineering 396K (Topic 10). Only one of the following may counted: Electrical and Computer Engineering 380L (Topic 10), 381K (Topic 3), Electrical Engineering 380L (Topic 10). Explore environmental and other ethical concerns, safety awareness, quality management, technical career descriptions, and professionalism with a focus on engineering communication. Additional prerequisite: Consent of instructor. Electrical and Computer Engineering 361C and Electrical Engineering 361C may not both be counted. Three lecture hours a week for one semester. Same as Biomedical Engineering 384J (Topic 3). Explore logic gates and latches; propagation delays; and circuit simulation models. Topic 14: High-Speed Computer Arithmetic I. Only one of the following may be counted: Electrical and Computer Engineering 382C (Topic 18), Electrical Engineering 382C (Topic 18), 382V (Topic: Computer Graphics). Examine characteristics of instruction set architecture and microarchitecture; physical and virtual memory; caches and cache design; interrupts and exceptions; integer and floating-point arithmetic; I/O processing; buses; pipelining, out-of-order execution, branch prediction, and other performance enhancements; design trade-offs; and case studies of commercial microprocessors. Topic 10: Parallel Computer Architecture. Start a company with a team. A candidate for any degree must be enrolled at The University of Texas at Austin in the semester or summer session in which the degree is awarded. Topic 17: Superscalar Microprocessor Architectures. Topic 15: Biosignal Analysis. The Master's Program in Early Childhood Education (ECE) focuses on important learning theories for young children and the curriculum that helps develop young learners. Examine stochastic and deterministic traffic and queueing models. Examine quality control, statistical process control, and design of experiments. May be repeated for credit when the topics vary. Introduction to computing including bits and operations on bits, number formats, arithmetic and logic operations, and digital logic. Stephen F. Austin State University Nacogdoches B.S.I.S. Application of electrical engineering techniques to analysis and instrumentation in biological sciences: pressure, flow, temperature measurement; bioelectrical signals; pacemakers; ultrasonics; electrical safety; electrotherapeutics. Bachelor of Science in Electrical and Computer Engineering Electrical and Computer Engineering 394 (Topic 17) and Electrical Engineering 394 (Topic 17) may not both be counted.