Computer architecture is at the interface of computer hardware and software. Its practitioners are responsible for specifying, designing, and implementing at the architecture level the hardware structures that carry out the work specified by computer software. Computer architects share the responsibility for providing mechanisms that algorithms, compilers, and operating systems can use to enhance the performance and/or energy requirements of running applications.
UT ECE offers 9 different Academic Tracks. Academic Tracks are areas of research interest that students choose to help guide them in selecting a course of study and a research area. Many tracks have overlap, and most faculty belong to more than one Academic Track. Research the Academic Tracks to learn which track best fits your interests and goals.
Understanding, engineering, and interfacing with biological systems are among mankind's most important challenges, impacting numerous fields from basic science to health. Motivated by this larger vision, bioECE track is focused on the intersection of electrical and computer engineering with biology and medicine. It includes biomedical instrumentation, biophotonics, health informatics, bioinformatics, neural engineering, computational neuroscience, and synthetic biology. Associated faculty have expertise in diverse topics: cardiovascular instrumentation, neuroscience, neural engineering and the machine-brain interface, image and signal processing (feature extraction and diagnostic interpretation), health information technologies (data mining, electronic medical records analysis), VLSI biomedical circuits (biosensing, lab-on-a-chip), algorithms for large-scale genomic analysis, and molecular programming (engineering molecules that compute).
This track involves research and design in the following fields: (1) Communications and networking: all aspects of transmission of data, including: wireless communications, communication theory, information theory, networking, queueing theory, stochastic processes, sensor networks; (2) Data science and machine learning: all aspects of extraction of knowledge from data, including: algorithms, data mining, optimization, statistics, pattern recognition, predictive analytics, artificial intelligence; and (3) Controls, signals, and systems: estimation and detection; signal, image and video proce
This track includes the study of electromagnetic and acoustic phenomena ranging from ultralow frequencies to the visible spectrum. The activities in electromagnetics involve research in antenna design, radar scattering, computational methods, wave-matter interaction, bioelectromagnetics, wave manipulation using artificial materials, wireless propagation channels, microwave and millimeter-wave integrated circuits, guided wave devices and systems, electromagnetic forces (including electrostrictive and magnetostrictive forces), and Maxwell's stress tensor.
This track involves research in the production, distribution, conversion, and use of electric energy.
This track involves all aspects of analysis, design, synthesis, and implementation of digital, analog, mixed-signal, and radio frequency (RF) integrated circuits and systems for applications in computing, sensing, and communications. Research in the area spans levels of abstraction from devices to systems-on-chip (SoC), and involves transceiver architectures, data converters, signal processing systems, integrated bio-chips, high-performance and low-power design, fault tolerance, design for manufacturability (DFM), design for test (DFT), verification, and computer-aided design (CAD).
This track involves research in plasma dynamics, optics, quantum-optic and photonic devices, and plasma processing of semiconductors. Plasma investigations include the design of plasma diagnostics, high-order spectral analysis of plasma waves, and plasma-enhanced chemical vapor deposition. Research in quantum electronics includes optical systems, lasers and laser applications, optical signal processing, optoelectronic devices, and lightwave systems.
This track involves all aspects of engineering software systems. In addition to the problem of requirements, research and study in the area addresses architecting, designing, building, testing, analyzing, evaluating, deploying, maintaining, and evolving software systems. Problems investigated include theory, techniques, methods, processes, tools, middleware, and environments for all types of software systems in all types of domains and applications. For more information, see http://arise.utexas.edu/education/.
This area of study is also available through the alternatively scheduled program in software engineering to professionals who are working full time. To learn more about the master’s degree program for working professionals, visit: http://lifelong.engr.utexas.edu/pme/swe.php
This track focuses on the development and improvement of micro- and nanoelectronic, optoelectronic, and electromechanical devices, and associated materials for a variety of applications. Devices include nanoscale and nontraditional complementary metal-oxide-semiconductor (CMOS) transistors, and beyond CMOS transistors; photodetectors, photodiodes and lasers, solar cells, and nanostructure optical metamaterials; and electronic and microelectromechanical sensors and actuators, including chemical and biological sensors.