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E E 338K: Analog Electronics
3.00 Credits
The University of Texas at Austin
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 a week for one semester. Prerequisite: Electrical Engineering 438 with a grade of at least C-.
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E E 338L: Analog Integrated Circuit Design
3.00 Credits
The University of Texas at Austin
Analysis and design of analog integrated circuits; transistor models; simple and advanced current mirrors; single-ended amplifiers; differential amplifiers; operational amplifiers; frequency response; feedback theory; stability analysis; circuit nonidealities and noise; output stages; analog filters. CAD tools for circuit analysis and design. Three lecture hours a week for one semester. Prerequisite: Electrical Engineering 438 with a grade of at least C-.
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E E 339: Solid-State Electronic Devices
3.00 Credits
The University of Texas at Austin
Semiconductor materials; atomic orbitals to energy band structure of semiconductors; charge carrier transport, electron-hole generation and recombination; p-n junctions and Schottky barriers; bipolar and filedeffect transistors; and introduction to optoelectronic devices. Three lecture hours a week for one semester. Prerequisite: Mathematics 427K, Physics 303L, and 103N with a grade of at least C- in each.
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E E 339 - Solid-State Electronic Devices
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E E 341: Electric Drives and Machines
3.00 Credits
The University of Texas at Austin
Fundamentals of electric machines. Electromechanical energy conversion; magnetic circuits, transformers, and energy conversion devices; and an introduction to power electronics. Motor drive fundamentals and applications. Three lecture hours a week for one semester. Prerequisite: Electrical Engineering 313 or 331 with a grade of at least C-.
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E E 341 - Electric Drives and Machines
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E E 347: Modern Optics
3.00 Credits
The University of Texas at Austin
Modern optical wave phenomena with applications to imaging, holography, fiber optics, lasers, and optical information processing. Three lecture hours a week for one semester. Prerequisite: Electrical Engineering 313 and 325 with a grade of at least C- in each, or Biomedical Engineering 343 with a grade of at least C-.
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E E 348: Laser and Optical Engineering
3.00 Credits
The University of Texas at Austin
Principles of operation and applications of lasers, optical modulators, and optical detectors. Three lecture hours a week for one semester. Prerequisite: Electrical Engineering 339 with a grade of at least C-.
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E E 348 - Laser and Optical Engineering
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E E 351K: Probability and Random Processes
3.00 Credits
The University of Texas at Austin
Probability, random variables, statistics, and random processes, including counting, independence, conditioning, expectation, density functions, distributions, law of large numbers, central limit theorem, confidence intervals, hypothesis testing, statistical estimation, stationary processes, Markov chains, and ergodicity. Three lecture hours a week for one semester. Prerequisite: Electrical Engineering 313 with a grade of at least C-.
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E E 351K - Probability and Random Processes
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E E 351M: Digital Signal Processing
3.00 Credits
The University of Texas at Austin
Sampling, aliasing, truncation effects; discrete and fast Fourier transform methods; convolution and deconvolution; finite and infinite impulse response filter design methods; Wiener, Kalman, noncausal, linear phase, median, and prediction filters; and spectral estimation. Three lecture hours a week for one semester. Prerequisite: Biomedical Engineering 343 or Electrical Engineering 313 with a grade of at least a C-, and credit with a grade of at least C- or registration for Biomedical Engineering 335 or Electrical Engineering 351K.
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E E 351M - Digital Signal Processing
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E E 360C: Algorithms
3.00 Credits
The University of Texas at Austin
Advanced problem solving methods; algorithm design principles; complexity analysis; study of the nature, impact, and handling of intractability; study of common algorithmic classes and their applications. Three lecture hours a week for one semester. Prerequisite: Computer Science 312 or Electrical Engineering 312 with a grade of at least C-; and Computer Science 313K or Mathematics 325K with a grade of at least C-.
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E E 360F: Introduction to Software Engineering
3.00 Credits
The University of Texas at Austin
Introduction to the discipline of software engineering. Includes software system creation and evolution; fundamental concepts and principles of software product and software process systems, including requirements, architecture and design, construction, deployment, and maintenance; and documentation and document management, measurement and evaluation, software evolution, teamwork, and project management. Three lecture hours a week for one semester. Prerequisite: One of the following with a grade of at least C-: Computer Science 314 or 314H, or Electrical Engineering 422C (or 332C).
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E E 360F - Introduction to Software Engineering
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