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ECE 351M ECE 351M. Digital Signal Processing. 3 Hours.
Explore 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. Electrical and Computer Engineering 351M and Electrical Engineering 351M may not both be counted. Prerequisite: Biomedical Engineering 343, Electrical and Computer Engineering 313 (or Electrical Engineering 313), or 313H with a grade of at least a C-, and credit with a grade of at least C- or registration for Biomedical Engineering 335, Electrical and Computer Engineering 351K (or credit with a grade of at least C- for Electrical Engineering 351K), or 351H.
Bachelor of Science in Electrical and Computer Engineering
Undergraduate
http://catalog.utexas.edu/undergraduate/engineering/degrees-and-programs/bs-electrical-engineering/
The curriculum in electrical engineering and computer engineering is designed to educate students in the fundamentals of engineering, which are built upon a foundation of mathematics, science, communication, and the liberal arts. Graduates should be equipped to advance their knowledge while contributing professionally to a rapidly changing technology. Areas in which electrical and computer engineers contribute significantly are: communications, signal processing, networks and systems, electronics and integrated circuits, energy systems and renewable energy, fields, waves and electromagnetic systems, nanoelectronics and nanotechnology, computer architecture and embedded systems, and software engineering and design. Typical career paths of graduates include design, development, management, consulting, teaching, and research. Many graduates seek further education in law, medicine, business, or engineering.